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Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.
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In the digital age, accessing information has become increasingly convenient, and this holds true for checking CNIC (Computerized National Identity Card) information online.
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In the ever-evolving landscape of data management, Zero-ETL is an approach that is reshaping how businesses handle and integrate their data. This webinar explores Zero-ETL, a paradigm shift from the traditional Extract, Transform, Load (ETL) process, offering a more streamlined, efficient, and real-time data integration method. We will begin with an introduction to the concept of Zero-ETL, including how it allows direct access to data in its native environment and real-time data transformation, providing up-to-date information with significantly reduced data redundancy. Next, we'll take you through several demonstrations showing how Zero-ETL can deliver real-time data and enable the free movement of data between systems. We will also discuss the various tools that support all aspects of Zero-ETL, providing attendees with an understanding of how they can adopt this innovative approach in their organizations. Lastly, the session will conclude with an interactive Q&A segment, allowing participants to gain deeper insights into how Zero-ETL can be tailored to their specific business needs and how they can get started today. Join us to discover how Zero-ETL can elevate your organization's data strategy.
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At its core, the challenge of managing Human Resources data is an integration challenge: estimates range from 2-3 HR systems in use at a typical SMB, up to a few dozen systems implemented amongst enterprise HR departments, and these systems seldom integrate seamlessly between themselves. Providing a multi-tenant, cloud-native solution to integrate these hundreds of HR-related systems, normalize their disparate data models and then render that consolidated information for stakeholder decision making has been a substantial undertaking, but one significantly eased by leveraging Ballerina. In this session, we’ll cover: The overall software architecture for VHR’s Cloud Data Platform Critical decision points leading to adoption of Ballerina for the CDP Ballerina’s role in multiple evolutionary steps to the current architecture Roadmap for the CDP architecture and plans for Ballerina WSO2’s partnership in bringing continual success for the CD
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💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨🏫👨💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology
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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
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A talk given at the DATAPLAT workshop, co-located with the IEEE ICDE conference (May 2024, Utrecht, NL). Data Provenance for Data Science is our attempt to provide a foundation to add explainability to data-centric AI. It is a prototype, with lots of work still to do.
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In this presentation, we delve into leveraging Amazon Q to elevate developer efficiency and craft GenAI applications. Discover the key features and benefits of Amazon Q for streamlined application development. Learn how Amazon Q can revolutionize your development processes and empower you to create cutting-edge GenAI applications.
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Are you interested to learn how technology can help to optimise the performance of commercial buildings on the route to net-zero? Join us to uncover how our digital twin technology can be utilised by building owners and occupiers to optimise operational building performance and improve energy efficiency before and after implementing net-zero retrofit measures.
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Introduction to Multilingual Retrieval Augmented Generation (RAG)
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Introduction to use of FHIR Documents in ABDM
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WSO2's API Vision: Unifying Control, Empowering Developers
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Decarbonising Commercial Real Estate: The Role of Operational Performance
Notes For Moodle
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highlight this
one MORE! only x2 and |x| 4
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Example 1: a) Write the equation of a parabola shifted five units left and six units down. b) Write the equation of an absolute value function shifted two units right and seven units up.
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Example 2: a) Describe the graph of y=f(x+2) and write an equation for the function. b) Describe the graph of y=f(x‐3)+4 and write an equation for the function. c) Describe the graph of y=g(x+6)‐2 and write an equation for the function. d) Describe the graph of y=h(x‐1) and write an equation for the function. e) Describe the graph of y=j(x)‐6 and write an equation for the function.
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Example 3: Graph each of the equations that you described in the last example. a)
b) c) d) e) 7
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Example 4: Given the following graphs, state the parent function for each graph and then write an equation for the graph. a)
b) c) d) 8
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