MarkItDown - Make any document AI friendly (by microsoft) MarkItDown is a Python utility designed for converting various file types—including PDFs, Word documents, and images—into Markdown format, emphasizing compatibility with Large Language Models (LLMs) for text analysis. This tool supports a wide range of formats while maintaining essential document structures, as well as integrating seamlessly with existing LLM applications through its Model Context Protocol (MCP). Recent updates introduced breaking changes that require users to adapt their implementations, particularly concerning file handling and dependencies. https://github.com/microsoft/markitdown Someone created a pallatform for this here: https://markitdown.pro/ #MarkItDown #Microsoft #Python #LLM #LargeLanguageModels #Markdown #DocumentConversion #AI #TextAnalysis #ModelContextProtocol #PDFtoMarkdown #WordtoMarkdown #Imagetomarkdown #markitdownpro #Langchain #LlamaIndex #DataConnectors #AIworkflows

The Apify Model Context Protocol (MCP) Server serves as an interface for AI applications to integrate with Apify's library of Actors for efficient web scraping and automation tasks. Users can access this server through secure HTTPS endpoints or the standard input/output method for local integrations. The MCP framework additionally allows dynamic actor management, facilitating real-time addition and execution of various Actors to enhance the capabilities of AI agents. Key Points - The Apify MCP Server connects AI applications with Apify's library of Actors for real-time web scraping and automation. - Users can connect to the MCP Server via HTTPS with OAuth or through standard input/output methods for local setups. - Before using the MCP Server, users must have an Apify account, API token, and an MCP-compatible client. - The server allows for dynamic actor management, enabling AI agents to discover, add, and execute Actors as needed. - Users can interact with the MCP Server over Server-Sent Events (SSE) for message sending and response receiving. - Troubleshooting tips include verifying the API token, ensuring the server runs the latest version of the MCP library, and ensuring a suitable Node.js environment. - Users can utilize a web-based Tester MCP Client for an accessible alternative to integrate and test capabilities without local setup. https://docs.apify.com/platform/integrations/mcp https://github.com/apify/actors-mcp-server #Apify #MCP #actors #webscraping #automation #AIagents #dynamicactormanagement #serversentevents #SSE #nocode #lowcode #rapiddevelopment #TesterMCPClient #webautomation #apifyactors #cloudcomputing #python #nodejs #portkey #airtable

AgentDevs community focuses on a wide range of AI agents and tools designed for various applications such as web data collection, content automation, and task management. It highlights innovative resources like an AI-powered newsletter creator, Google Agent Development Kit examples, and automation frameworks for managing tasks across platforms like YouTube and Instagram. The platform serves as a valuable hub for developers seeking to leverage AI technologies for efficient application development and automation. Key Points - The AgentDevs platform features 122 AI agents and 40 new tools introduced this week, providing a vast resource for developers. - An AI-powered newsletter creator enables users to automate newsletter production by intelligently selecting and processing news content. - The Google Agent Development Kit (ADK) offers structured examples for beginners to familiarize themselves with agent development practices. - The ADK Short Bot facilitates message shortening using Google's advanced AI, improving clarity in communications. - A Vertex AI RAG Document Management Agent allows users to manage documents through natural language queries, streamlining document retrieval and organization. - The CrewAI RAG PDF and YouTube Data Processor enhances information extraction and management of workflows related to different content formats. - The Python Flow Management with CrewAI provides detailed instructions for managing project environments and dependencies in Python for both beginners and experienced developers. https://www.agentdevs.io/ #AgentDevs #AIagents #AITools #WebDataCollection #ContentAutomation #TaskManagement #AINewsletterCreator #GoogleADK #VertexAI #CrewAI #RAG #Python #AutomationFramework #ADKShortBot #AgentDevelopment #NoCodeAI #Bard #Langchain #AutoGPT #Flowise #AICreator #DataExtraction #DocumentManagement

The IBM Data Engineering Professional Certificate, available on Coursera, prepares individuals for a data engineering career. It focuses on building job-ready and AI skills relevant to the field. The certificate consists of 13 courses, including quizzes, hands-on assignments, and projects. This certification is designed for individuals seeking a career in data engineering and covers essential concepts to excel in this area. It is particularly relevant for IBM Big Data Engineers who collaborate with Data Architects and Developers. https://www.coursera.org/professional-certificates/ibm-data-engineer #IBMDataEngineering #Coursera #DataEngineering #DataArchitect #BigData #AISkills #DataSkills #DataCertification #DataEngineeringCareer #DataEngineeringEducation #GoogleCloudDataEngineer #AzureDataEngineer #AWSDataEngineer #DataBricks #SQL #Python #DataPipeline #DataWarehouse #ETL #Databases

Alison 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