lison offers free online courses covering machine learning. These courses are designed for individuals with a background in computer programming and science. The courses utilize Python and cover topics like different algorithms, KNN, and random. These courses are suitable for students and anyone seeking to learn more about the evolving field of machine learning. #alison #alisoncourses #machinelearning #onlinecourses #python #knn #randomforest #datascience #coding #programming #learntocode #freecourses #education #mlalgorithms #deeplearning #tensorflow #pytorch #scikitlearn https://alison.com/course/machine-learning-with-artificial-intelligence https://www.edupstairs.org/free-online-course-diploma-in-machine-learning-with-python/

In this theater session, Software Engineer Eleanor Boyd walks through building a custom MCP (Model Context Protocol) server in Visual Studio Code using GitHub Copilot and Python. She walks through a real use case, fetching PyPI package data, and shows how to connect your tool to Copilot’s Agent Mode for powerful AI-assisted coding. #MCP #ModelContextProtocol #VisualStudioCode #GitHubCopilot #Python #PyPI #AIAssistedCoding #AgentMode #SoftwareEngineering #CodeDevelopment #AItools #Codegen #CodeCompletion #Tabnine #AmazonCodeWhisperer #JetBrainsAIAssistant https://youtu.be/SYcQXozpb_E?si=8QgX0-7lr3WsA0ZJ

Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI. Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today. Resources: Get Started → https://google.github.io/adk-docs Sample Agents → https://goo.gle/3Rbdo4s Subscribe to Google for Developers → https://goo.gle/developers #ADK #AgentDevelopmentKit #GoogleAI #OpenSource #AIAgents #MultiModal #MultiAgentSystems #AIDevelopment #AIWorkflow #GenAI #LangChain #AutoGen #AIInfrastructure #SoftwareDevelopment #DebuggingUI #TravelPlanner #Python #AICommunity #ModelAgnostic #DeploymentAgnostic

MarkItDown is a Python tool designed to convert various file types, including PDFs, Word documents, and audio files, into Markdown format, facilitating text analysis and integration with large language models (LLMs). The tool emphasizes the preservation of document structure during conversion and introduces a protocol for interactive LLM functionalities. Its recent updates have clarified dependencies and broadened support for different file formats, catering to developers and users alike. Key Points - MarkItDown is a Python utility specifically for converting multiple document types into Markdown format optimized for text analysis and LLM applications. - The tool supports a wide array of file formats including PDF, PowerPoint, Word, Excel, images, audio, HTML, and even YouTube URLs. - Recent updates addressed breaking changes in functionality, requiring a binary file-like object in conversion methods and revising the DocumentConverter interface. - Users can install MarkItDown through pip with optional dependencies tailored to specific file formats for more customized installations. - Plugins are supported, which allows third-party contributions to extend MarkItDown's capabilities, although they are disabled by default. - The integration of Microsoft Document Intelligence is available for enhanced conversion features, specifically for PDF files. - MarkItDown requires Python 3.10 or higher, and it is recommended to use a virtual environment for installation to prevent dependency issues. #MarkItDown #python #markdown #llms #textanalysis #pdfconversion #documentconversion #microsoftdocumentintelligence #pypdf #unstructured #doctr #virtualenv #pip #opensource https://github.com/microsoft/markitdown

Browser-Use Web-UI This project builds upon the foundation of the browser-use, which is designed to make websites accessible for AI agents. The WebUI is built on Gradio and supports most of browser-use functionalities, providing a user-friendly interface for easy interaction with the browser agent. The project has expanded support for various Large Language Models (LLMs) and allows the use of custom browsers, eliminating the need to re-login to sites or deal with other authentication challenges. It also supports persistent browser sessions, enabling users to see the complete history and state of AI interactions. Main Function Points - Provides a user-friendly WebUI built on Gradio to interact with the browser agent - Supports various Large Language Models (LLMs) including Google, OpenAI, Azure OpenAI, Anthropic, DeepSeek, Ollama, and more - Allows the use of custom browsers, eliminating the need to re-login to sites or deal with other authentication challenges - Supports persistent browser sessions, enabling users to see the complete history and state of AI interactions Technology Stack Python Gradio Playwright License MIT license https://github.com/browser-use/web-ui https://github.com/browser-use/browser-use https://browser-use.com/ #TechInnovation #AIRevolution #BrowserTech #WebUI #Gradio #FutureOfWeb #AIInteraction #SeamlessBrowsing #TechTrends #InnovationInTech #DigitalTransformation #NextGenTech #AIIntegration #WebDevelopment #TechCommunity #ExploreTheFuture