Bangalore 4
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The document lists the names of several rice traders in Bangalore, including Sri Bhuvaneshwari Rice Traders, Sri Lakshmi Venkateshwara Rice Traders, Sri Manjunatha Rice Corner, Sri Seetha Byraveshwara Rice Traders, M.K Traders, Nandeeswara Rice Traders, Reddy's Rice Corner, Sree Mahalakshmi Rice Traders, Sri Bhuvaneshwari Traders, and Sri Chowdeshwari Buy 'N' Save. Most names are repeated multiple times in the list.
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The document lists the names of various stores in Bangalore 3, including Vasavi Oil Traders, Vittal The House of Rice, Annapoorneshwari Rice Traders, Bhavani Departmental Stores, Chandan Traders, Hanuman Buy and Save, Kamala Provision Stores, Kumar's Buy & Save & Bakery, Mahesh General Store, Mataji General Stores, and Sri New Annapoorneshwari Departmental Stores, with most being repeated two or three times.
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The document lists the names of various stores in Bangalore 3, including Vasavi Oil Traders, Vittal The House of Rice, Annapoorneshwari Rice Traders, Bhavani Departmental Stores, Chandan Traders, Hanuman Buy and Save, Kamala Provision Stores, Kumar's Buy & Save & Bakery, Mahesh General Store, Mataji General Stores, and Sri New Annapoorneshwari Departmental Stores, with most being repeated two or three times.
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The document lists the names of various rice traders, provision stores, and oil stores located in Bangalore 01, including Kalpavruksha Rice Traders, R.J Rice Traders, Sri Mahalakshmi Rice Traders appearing multiple times, and single mentions of Tirumala Rice Traders, Vigneshwara Rice Traders, Yasasvini Provision Store, Chandru Provision Stores, Lakshmi Oil Store, and Mother Store.
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The document lists the names of various stores in Bangalore that are related to rice trading, including P.K.M. Stores, Pooja Departmental Stores, Sri Annapoorneshwari Rice Traders, Sri Durga Bhavani Rice Traders, Yesem Stores, Sri Nanjundeshwara Rice Traders, Annapoorna Rice, Byraveshwara Rice Traders, Manjunatha Rice Centre, S.L.V. Buy & Save, and Sri Lakshmi Venkateshwara Rice Traders, repeating some names multiple times.
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The document lists the names of various rice traders, provision stores, and oil stores located in Bangalore 01, including Kalpavruksha Rice Traders, R.J Rice Traders, Sri Mahalakshmi Rice Traders appearing multiple times, and single mentions of Tirumala Rice Traders, Vigneshwara Rice Traders, Yasasvini Provision Store, Chandru Provision Stores, Lakshmi Oil Store, and Mother Store.
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During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
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