1 adj pairs starter
•
0 likes•254 views
The document provides instructions on how to transcribe a one minute extract from the TV show Gavin and Stacey to experience how spontaneous speech texts are created. It includes keys to denote pauses and longer pauses measured in seconds. The purpose is to highlight the unscripted nature of conversational transcripts and how they are typically structured with elements like greetings, questions, answers, statements, requests, apologies etc. with indications of who is speaking and overlapped lines.
Report
Share
Report
Share
![[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](https://image.slidesharecdn.com/1-adjpairsstarter-120123102206-phpapp02/85/1-adj-pairs-starter-1-320.jpg)
Recommended
Sentences
This document discusses the four sentence types - declarative, interrogative, imperative, and exclamatory. It provides examples of what types of sentences would be found in different texts like instruction manuals, advertisements, conversations, and more. It then instructs the reader on an activity to identify sentence types and how they relate to audience. Finally, it outlines the major and minor types of sentences and provides examples.
Denotation connotation
The document discusses different types of meaning in language including literal denotation versus implied connotation, and how context and pragmatics contribute to meaning. It provides examples of phrases that can have multiple meanings depending on context ("He was cool", "She was on fire") and examples of how word play and homonyms can convey a message humorously.
Register
This document discusses formality and register in language. It explains that language varies depending on factors like topic, relationship between speakers, and whether the language is written or spoken. When analyzing differences in formality/register, one looks at vocabulary choices, sentence complexity, pronunciation, and contractions. Register is important to consider when analyzing texts and when writing one's own texts. The document provides examples of levels of formality from formal to informal and sample text types where each level may be used. It prompts analyzing the formality of sample texts and comparing their levels of formality.
Pragmatics: Conversation and Preference Structure
Conversation analysis is a method for studying social interaction through analyzing ordinary conversation. It focuses on how participants exchange talk and social actions on a turn-by-turn basis through mechanisms like turn-taking, transition relevance places, and turn-constructional units. Key aspects of conversation that are examined include pauses, overlaps, backchannels, conversational styles, adjacency pairs, opening and closing sections, and preference structure.
Adjacency pair
This document discusses adjacency pairs, which are pairs of utterances in a conversation where the first utterance provokes a responding utterance. It provides examples like a question eliciting an answer. It also discusses Grice's conversational maxims of quality, quantity, relation, and manner which provide guidelines for how to have an effective conversation through being truthful, providing the right amount of information, being relevant, and being clear.
Conversation and preference structure
This document provides an overview of concepts related to conversation analysis. It discusses terms like interaction, conversation structure, and conversation analysis. Specific concepts covered include pauses and overlaps in conversation, conversational style, adjacency pairs, and preference structure. Adjacency pairs refer to automatic response patterns like greetings. Preference structure divides responses into preferred and dispreferred based on social expectations. Dispreferred responses require more hesitation and account-giving language. Overall, the document analyzes different elements that shape conversations between participants.
Turn taking
This lesson plan teaches turn-taking processes in conversations. It is for a class of 40 students aged 17-18 years old and will last 15 minutes. The lesson will define turn-taking, adjacency pairs, and different conversation sequences. Students will learn about cultural differences in turn-taking and factors like eye contact, body language, and status that influence conversations. They will analyze example conversations and adjacency pairs, and consider why repair is sometimes needed in turn-taking. A test will assess students' understanding of the concepts covered in the lesson.
Recommended
Sentences
This document discusses the four sentence types - declarative, interrogative, imperative, and exclamatory. It provides examples of what types of sentences would be found in different texts like instruction manuals, advertisements, conversations, and more. It then instructs the reader on an activity to identify sentence types and how they relate to audience. Finally, it outlines the major and minor types of sentences and provides examples.
Denotation connotation
The document discusses different types of meaning in language including literal denotation versus implied connotation, and how context and pragmatics contribute to meaning. It provides examples of phrases that can have multiple meanings depending on context ("He was cool", "She was on fire") and examples of how word play and homonyms can convey a message humorously.
Register
This document discusses formality and register in language. It explains that language varies depending on factors like topic, relationship between speakers, and whether the language is written or spoken. When analyzing differences in formality/register, one looks at vocabulary choices, sentence complexity, pronunciation, and contractions. Register is important to consider when analyzing texts and when writing one's own texts. The document provides examples of levels of formality from formal to informal and sample text types where each level may be used. It prompts analyzing the formality of sample texts and comparing their levels of formality.
Pragmatics: Conversation and Preference Structure
Conversation analysis is a method for studying social interaction through analyzing ordinary conversation. It focuses on how participants exchange talk and social actions on a turn-by-turn basis through mechanisms like turn-taking, transition relevance places, and turn-constructional units. Key aspects of conversation that are examined include pauses, overlaps, backchannels, conversational styles, adjacency pairs, opening and closing sections, and preference structure.
Adjacency pair
This document discusses adjacency pairs, which are pairs of utterances in a conversation where the first utterance provokes a responding utterance. It provides examples like a question eliciting an answer. It also discusses Grice's conversational maxims of quality, quantity, relation, and manner which provide guidelines for how to have an effective conversation through being truthful, providing the right amount of information, being relevant, and being clear.
Conversation and preference structure
This document provides an overview of concepts related to conversation analysis. It discusses terms like interaction, conversation structure, and conversation analysis. Specific concepts covered include pauses and overlaps in conversation, conversational style, adjacency pairs, and preference structure. Adjacency pairs refer to automatic response patterns like greetings. Preference structure divides responses into preferred and dispreferred based on social expectations. Dispreferred responses require more hesitation and account-giving language. Overall, the document analyzes different elements that shape conversations between participants.
Turn taking
This lesson plan teaches turn-taking processes in conversations. It is for a class of 40 students aged 17-18 years old and will last 15 minutes. The lesson will define turn-taking, adjacency pairs, and different conversation sequences. Students will learn about cultural differences in turn-taking and factors like eye contact, body language, and status that influence conversations. They will analyze example conversations and adjacency pairs, and consider why repair is sometimes needed in turn-taking. A test will assess students' understanding of the concepts covered in the lesson.
The language of humour
I'm afraid I don't have time to discuss
your fantasies. Let's get back to business.
(STOPPARD'S "REAL INSPECTOR HOUND" p39)
Pragmatics
The document discusses denotation and connotation of words. Denotation refers to the literal meaning of a word, while connotation refers to the emotional associations that a word evokes. For example, while "woman" and "chick" both denote an adult female, "chick" has somewhat negative connotations compared to the neutral connotation of "woman." Pragmatics is then defined as the study of how context, communication principles, and speaker goals influence how something is expressed and interpreted.
Intro to lexis
A lexicon is the body of words that make up a language. Lexicology is the study of words, their meanings, uses, and relationships. A lexicographer writes dictionaries by determining what words and concepts to include from a language's lexicon. A lexeme is the basic unit of lexical meaning, such as a word and its inflected forms that share the same core meaning. Determining what to include in a dictionary considers factors like parts of speech, regional terms, slang, abbreviations, proper nouns, and more.
Lexis1
1) The document discusses different aspects of word structure and formation including compounds, blends, morphology, prefixes, suffixes, and homophones.
2) It provides examples of compound words, blended words like "electrocute" and "fortnight", and discusses morphology and morphemes.
3) Prefixes and suffixes are discussed as affixes that can change the word class, and examples of different affixes are given like "able" and "ly". Homophones, homonyms, and other lexical relationships are also defined.
Words and meaning
The document discusses ambiguity in language. It provides examples of phrases that function as single words like "double yellow lines" and examples where the intended meaning is unclear, like jokes that rely on multiple interpretations of words. Lexical ambiguity occurs when the intended meaning of a word is unclear from the context. Headlines are given that contain ambiguous words that could have multiple meanings. Businesses sometimes use ambiguous names deliberately to attract attention. The document asks the reader to come up with an ambiguous name for a shop they may open.
Verbs
Verbs can be main verbs or auxiliary verbs. Main verbs express the main action in a sentence while auxiliary verbs help support the main verb. There are two types of auxiliary verbs: primary verbs like be, have, and do, and modal verbs like can, will, and may. Modal verbs are used to influence meaning and are always used with another verb.
Prepositions
Prepositions describe relationships between words in a sentence and are often used in prepositional phrases. Prepositions like "in", "between", and "on" are difficult to define alone and are usually explained through gestures. Prepositional phrases consist of a preposition followed by a determiner, noun, or pronoun, and function as adjectives or adverbs to indicate location, time, or conditions. The document provides many examples of how prepositions can be used in relation to a professor's desk, both physically and temporally. While some view ending a sentence with a preposition as improper grammar, this rule is not universally agreed upon.
Nouns pronouns
The document discusses nouns and pronouns. It defines nouns as words that name people, places, things, qualities or actions. Nouns can be proper, common, count, noncount, concrete or abstract. Pronouns are words that take the place of nouns like I, you, he, she, it, we and they. The document provides examples of different types of pronouns and their uses in sentences.
Conjunctions
This document discusses different types of conjunctions that join ideas together in sentences. It describes coordinating conjunctions like and, but, or, nor, for, so, and yet. It also discusses subordinating conjunctions that indicate time, reason, concession, place, condition, or manner such as after, because, although, where, if, as if, and until. Examples are provided for each type of conjunction. The document also mentions that relative pronouns and adjectives can be used to join ideas by creating adjective or noun clauses.
Amazing adjectives
This document provides information and advice about using adjectives effectively. It defines what an adjective is and its purpose of modifying nouns and pronouns. Tips are given for creative writing, such as using fewer but well-chosen adjectives and showing descriptions through verbs and nouns instead of overused adjectives like "interesting" and "beautiful". Comparative and superlative forms of adjectives and some irregular examples are also outlined.
How to categorise
This document provides guidance on how to answer Question 1 of a language exam. Students are instructed to read six texts (A-F) and group them in various ways, providing linguistic reasons for each grouping. They should consider whether texts share purpose, audience, genre, formality level, or represent similar themes through language. Students must explain their groupings, explore differences within groups, and use language analysis methods while citing examples and linking features to context.
Context
Context refers to the situations in which texts are produced and received, including the language, beliefs, knowledge, social events, and intended audience of both the writer and reader. Understanding the context of production and reception is equally important when studying texts, as the implied writer, implied reader, and actual audience all impact the meaning and interpretation of the text.
2 speech features
This document discusses various linguistic concepts related to discourse analysis including adjacency pairs, topic shifts, deictic expressions, interrupted constructions, filler words, intonation, non-verbal communication, and pragmatics. Pragmatics is defined as the study of language use in context focusing on concepts like deixis, turn-taking, and implicature.
2 school text
This document provides tasks for analyzing a school discussion text. It asks the reader to annotate features in the text, look at how the relationship between teacher and pupils is presented through quotes, and turn one part of an analysis table into a detailed paragraph with a point, quote as evidence, and terminology analysis related to the given question.
2 politeness scale
The document discusses direct and indirect speech acts when making requests and discusses examples of requesting to see a manager from most direct to most polite. It also prompts for examples of requesting a date and requesting someone to stop talking in the cinema, with the most direct or most polite versions requested.
Idiolect identification
The passage discusses three excerpts from two different authors. The first and third excerpts are from the same novel identified through linguistic analysis. The middle excerpt is from a blog also identified through linguistic analysis. Analyzing individuals' writing styles can reveal their identity, as demonstrated by examples of an author identifying writers of anonymous works.
Accommodation theory
Accommodation theory suggests that in conversations, people will either converge their speech towards the other person or diverge away, to accommodate the listener. Convergence decreases social distance by making speech more similar, while divergence emphasizes differences. Examples include toning down accents downward or eliminating regional features upward for a job interview. Mutual convergence happens when both participants move towards each other.
Sociolect test
Sociolect refers to the way someone speaks according to their social group or class. Some key factors that influence sociolect are age, gender, education, occupation and class. RP, or received pronunciation, represents the "correct" version of English. While a prescriptive view judges language, a descriptive view objectively analyzes language usage without making judgments. The document also discusses taboo and euphemistic ways of referring to using the toilet.
Accent and dialect
The document discusses accents and dialects in English. It defines accents as distinctive modes of pronunciation associated with regions or social classes, while dialects refer to variations in grammar and vocabulary particular to groups. The document examines how accents can cause prejudice and are used in comedy. It provides examples of accents from the UK and Ireland and analyzes phonetic spelling, grammar, and vocabulary differences found in the novel Trainspotting written in Scottish dialect.
The right words
The document discusses finding appropriate language to say no in different situations. It provides categories and examples of ways to say no inarticulately, apologetically, evasively, definitively, or with excuses and cliches. It also discusses using different language when saying no to a child asking for something compared to an adult. Finally, it addresses taboo language, euphemisms, and grouping words into medical, polite, casual, and classroom-appropriate categories.
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
More Related Content
More from jkmurton
The language of humour
I'm afraid I don't have time to discuss
your fantasies. Let's get back to business.
(STOPPARD'S "REAL INSPECTOR HOUND" p39)
Pragmatics
The document discusses denotation and connotation of words. Denotation refers to the literal meaning of a word, while connotation refers to the emotional associations that a word evokes. For example, while "woman" and "chick" both denote an adult female, "chick" has somewhat negative connotations compared to the neutral connotation of "woman." Pragmatics is then defined as the study of how context, communication principles, and speaker goals influence how something is expressed and interpreted.
Intro to lexis
A lexicon is the body of words that make up a language. Lexicology is the study of words, their meanings, uses, and relationships. A lexicographer writes dictionaries by determining what words and concepts to include from a language's lexicon. A lexeme is the basic unit of lexical meaning, such as a word and its inflected forms that share the same core meaning. Determining what to include in a dictionary considers factors like parts of speech, regional terms, slang, abbreviations, proper nouns, and more.
Lexis1
1) The document discusses different aspects of word structure and formation including compounds, blends, morphology, prefixes, suffixes, and homophones.
2) It provides examples of compound words, blended words like "electrocute" and "fortnight", and discusses morphology and morphemes.
3) Prefixes and suffixes are discussed as affixes that can change the word class, and examples of different affixes are given like "able" and "ly". Homophones, homonyms, and other lexical relationships are also defined.
Words and meaning
The document discusses ambiguity in language. It provides examples of phrases that function as single words like "double yellow lines" and examples where the intended meaning is unclear, like jokes that rely on multiple interpretations of words. Lexical ambiguity occurs when the intended meaning of a word is unclear from the context. Headlines are given that contain ambiguous words that could have multiple meanings. Businesses sometimes use ambiguous names deliberately to attract attention. The document asks the reader to come up with an ambiguous name for a shop they may open.
Verbs
Verbs can be main verbs or auxiliary verbs. Main verbs express the main action in a sentence while auxiliary verbs help support the main verb. There are two types of auxiliary verbs: primary verbs like be, have, and do, and modal verbs like can, will, and may. Modal verbs are used to influence meaning and are always used with another verb.
Prepositions
Prepositions describe relationships between words in a sentence and are often used in prepositional phrases. Prepositions like "in", "between", and "on" are difficult to define alone and are usually explained through gestures. Prepositional phrases consist of a preposition followed by a determiner, noun, or pronoun, and function as adjectives or adverbs to indicate location, time, or conditions. The document provides many examples of how prepositions can be used in relation to a professor's desk, both physically and temporally. While some view ending a sentence with a preposition as improper grammar, this rule is not universally agreed upon.
Nouns pronouns
The document discusses nouns and pronouns. It defines nouns as words that name people, places, things, qualities or actions. Nouns can be proper, common, count, noncount, concrete or abstract. Pronouns are words that take the place of nouns like I, you, he, she, it, we and they. The document provides examples of different types of pronouns and their uses in sentences.
Conjunctions
This document discusses different types of conjunctions that join ideas together in sentences. It describes coordinating conjunctions like and, but, or, nor, for, so, and yet. It also discusses subordinating conjunctions that indicate time, reason, concession, place, condition, or manner such as after, because, although, where, if, as if, and until. Examples are provided for each type of conjunction. The document also mentions that relative pronouns and adjectives can be used to join ideas by creating adjective or noun clauses.
Amazing adjectives
This document provides information and advice about using adjectives effectively. It defines what an adjective is and its purpose of modifying nouns and pronouns. Tips are given for creative writing, such as using fewer but well-chosen adjectives and showing descriptions through verbs and nouns instead of overused adjectives like "interesting" and "beautiful". Comparative and superlative forms of adjectives and some irregular examples are also outlined.
How to categorise
This document provides guidance on how to answer Question 1 of a language exam. Students are instructed to read six texts (A-F) and group them in various ways, providing linguistic reasons for each grouping. They should consider whether texts share purpose, audience, genre, formality level, or represent similar themes through language. Students must explain their groupings, explore differences within groups, and use language analysis methods while citing examples and linking features to context.
Context
Context refers to the situations in which texts are produced and received, including the language, beliefs, knowledge, social events, and intended audience of both the writer and reader. Understanding the context of production and reception is equally important when studying texts, as the implied writer, implied reader, and actual audience all impact the meaning and interpretation of the text.
2 speech features
This document discusses various linguistic concepts related to discourse analysis including adjacency pairs, topic shifts, deictic expressions, interrupted constructions, filler words, intonation, non-verbal communication, and pragmatics. Pragmatics is defined as the study of language use in context focusing on concepts like deixis, turn-taking, and implicature.
2 school text
This document provides tasks for analyzing a school discussion text. It asks the reader to annotate features in the text, look at how the relationship between teacher and pupils is presented through quotes, and turn one part of an analysis table into a detailed paragraph with a point, quote as evidence, and terminology analysis related to the given question.
2 politeness scale
The document discusses direct and indirect speech acts when making requests and discusses examples of requesting to see a manager from most direct to most polite. It also prompts for examples of requesting a date and requesting someone to stop talking in the cinema, with the most direct or most polite versions requested.
Idiolect identification
The passage discusses three excerpts from two different authors. The first and third excerpts are from the same novel identified through linguistic analysis. The middle excerpt is from a blog also identified through linguistic analysis. Analyzing individuals' writing styles can reveal their identity, as demonstrated by examples of an author identifying writers of anonymous works.
Accommodation theory
Accommodation theory suggests that in conversations, people will either converge their speech towards the other person or diverge away, to accommodate the listener. Convergence decreases social distance by making speech more similar, while divergence emphasizes differences. Examples include toning down accents downward or eliminating regional features upward for a job interview. Mutual convergence happens when both participants move towards each other.
Sociolect test
Sociolect refers to the way someone speaks according to their social group or class. Some key factors that influence sociolect are age, gender, education, occupation and class. RP, or received pronunciation, represents the "correct" version of English. While a prescriptive view judges language, a descriptive view objectively analyzes language usage without making judgments. The document also discusses taboo and euphemistic ways of referring to using the toilet.
Accent and dialect
The document discusses accents and dialects in English. It defines accents as distinctive modes of pronunciation associated with regions or social classes, while dialects refer to variations in grammar and vocabulary particular to groups. The document examines how accents can cause prejudice and are used in comedy. It provides examples of accents from the UK and Ireland and analyzes phonetic spelling, grammar, and vocabulary differences found in the novel Trainspotting written in Scottish dialect.
The right words
The document discusses finding appropriate language to say no in different situations. It provides categories and examples of ways to say no inarticulately, apologetically, evasively, definitively, or with excuses and cliches. It also discusses using different language when saying no to a child asking for something compared to an adult. Finally, it addresses taboo language, euphemisms, and grouping words into medical, polite, casual, and classroom-appropriate categories.
More from jkmurton (20)
Recently uploaded
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Recently uploaded (20)
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP