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 Prompt Report: A Systematic Survey of Prompting Techniques "The Prompt Report," is the result of an extensive study analyzing over 1,500 academic papers on prompting conducted by a team of researchers from leading institutions. It introduces a structured taxonomy of 58 prompting techniques organized into six categories, highlighting effective strategies such as Few-Shot and Chain-of-Thought prompting. Additionally, the report discusses the importance of In-Context Learning and assesses the performance of various prompting techniques while offering insights into future challenges and developments in human-AI interactions. Key Points - A systematic analysis resulted in the creation of "The Prompt Report," detailing over 58 prompting techniques within a comprehensive 80-page document. - The report categorizes prompting techniques into six problem-solving areas, enabling users to identify and apply the best methods for their tasks. - In-Context Learning (ICL) allows language models to perform tasks based on examples within prompts, emphasizing the power of Few-Shot techniques. - Effective prompt design hinges on various factors including the quality, quantity, and format of examples used in prompts. - Benchmarking results reveal Few-Shot Chain-of-Thought techniques as superior for reasoning tasks, while Self-Consistency is less effective than anticipated. - Comparisons show that AI-driven prompt engineering tools can outperform manual efforts, highlighting advancements in automated prompting techniques. - The report addresses future challenges in prompting, including prompt drift, multilingual applications, and integrating multimodal inputs. https://learnprompting.org/blog/the_prompt_report https://huggingface.co/papers/2406.06608 https://www.researchgate.net/publication/381318099_The_Prompt_Report_A_Systematic_Survey_of_Prompting_Techniques #PromptReport #PromptEngineering #InContextLearning #FewShotLearning #ChainOfThought #PromptingTechniques #AI #NLP #LanguageModels #HumanAIInteraction #PromptDrift #MultilingualAI #LearnPrompting #AISurvey #PromptTaxonomy #SelfConsistency #PromptTools

PLINY THE PROMPTER Discusses various advancements in the field of autonomous red teaming, specifically focusing on jailbreak techniques for language models. It highlights the contributions of a prominent figure, Pliny the Prompter, in developing effective jailbreak prompts and attack strategies. Additionally, it addresses ongoing research aimed at enhancing defenses against these vulnerabilities, emphasizing the importance of understanding and mitigating jailbreak risks through comprehensive studies and innovative methodologies. Key Points The document introduces "AutoRedTeamer," emphasizing its capacity for lifelong attack integration in red teaming. "Pliny the Prompter" is credited with devising a highly effective jailbreak prompt that deepens the understanding of language model vulnerabilities. The L1B3RT4S project demonstrates manual attack methods using leetspeak encoding, contributing to broader jailbreak techniques. Current research on bijection learning attacks presents competitive alternatives to established jailbreak methods pioneered by Pliny. The "DeepSeek-R1" project illustrates how behavior modification can be tailored through mixtures of tunable experts, drawing on existing jailbreak strategies. Research on constitutional classifiers is focused on defending against universal jailbreaks by leveraging insights from extensive red teaming exercises. The RoboPAIR platform investigates jailbreaking within LLM-controlled robotic systems, expanding the application of prompt-based attacks beyond traditional language models. https://pliny.gg/ #PlinyThePrompter #AutoRedTeamer #L1B3RT4S #DeepSeekR1 #RoboPAIR #JailbreakLLM #AISecurity #RedTeaming #PromptEngineering #LanguageModels #LLMVulnerability #AIJailbreak #ConstitutionalAI #AdversarialAI #BijectionLearning #AISafety #LLMSecurity #AIResearch

Andrej Karpathy discusses the evolution of software, introducing Software 1.0, 2.0, and 3.0, highlighting the rise of large language models (LLMs) as a new programming paradigm. He emphasizes the importance of adapting to these changes, exploring the potential of LLMs in various applications, and the need for a collaborative approach between humans and AI. https://youtu.be/LCEmiRjPEtQ?si=KlGcFZYTI9HeL1ho #Software1.0 #Software2.0 #Software3.0 #AndrejKarpathy #LLMs #LargeLanguageModels #AIProgramming #ArtificialIntelligence #MachineLearning #NeuralNetworks #DeepLearning #AICoding #AICollaboration #ProgrammingParadigm #Codegen

Check this Repo out ! Shubham Saboo's GitHub repository hosts a collection of LLM Apps. These applications leverage large language models (LLMs) from various providers, including OpenAI, Anthropic, and Google, and open-source models. The apps incorporate Retrieval-Augmented Generation (RAG), AI agents, multi-agent teams, and voice agent technologies. This curated list is a valuable resource for exploring the capabilities and applications of LLMs in different contexts. #AwesomeLLMApps #LLM #LargeLanguageModels #OpenAI #Anthropic #GoogleAI #RAG #RetrievalAugmentedGeneration #AIAgents #MultiAgentTeams #VoiceAgents #GitHub #MachineLearning #NLP #AI #Langchain #LlamaIndex #DeepLearning #AISolutions https://github.com/Shubhamsaboo/awesome-llm-apps

"You got Rizz ... l got Rizz" soon will be "You got Prompts ... l got Prompts" ... let me show you ! Prompts.chat is a curated collection of effective prompts for ChatGPT and other AI assistants, curated by Fatih Kadir Akın. While designed for ChatGPT, these prompts can be adapted for Claude, Gemini, Llama, and other language models to help you get more out of AI interactions. #promptschat #chatgpt #claude #gemini #llama #aiprompts #promptengineering #aiassistants #promptcollection #languagemodels #aiinteractions #promptlibrary #aitools #conversationalai #promptoptimization https://prompts.chat/

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

Andrej Karpathy discusses "Software 3.0" in the context of AI, highlighting the shift where software behavior is defined and processed by machines, unlike traditional software. This new era leverages Large Language Models (LLMs) as the foundation, with prompts functioning as programs. The concept encompasses aspects such as LLM psychology and partial autonomy, suggesting a future where software interacts and evolves differently. This represents a move away from explicitly coded instructions towards systems that learn and adapt through data and interaction. #Software3.0 #AI #LLMs #LargeLanguageModels #AndrejKarpathy #PromptEngineering #MachineLearning #ArtificialIntelligence #DeepLearning #NeuralNetworks #AutonomousSystems #AISoftware #Langchain #GPT4 #Gemini #Claude https://youtu.be/LCEmiRjPEtQ?si=A1KZ7ZYW2Mqt7BEh

BAGEL is a multimodal foundation model developed by ByteDance. It's an open-source model with 7 billion active parameters (14 billion total). BAGEL was trained on extensive interleaved multimodal data. It's designed for unified generation and understanding, building upon large language models. The model was introduced in May 2025. https://github.com/ByteDance-Seed/Bagel

🚀 Transform the web into your playground with Firecrawl! 🌐✨ Whether you're a creator, researcher, or just curious, Firecrawl helps you turn any website into clean, structured data – perfect for powering AI tools like Language Models. 🧠💡 No coding headaches, no complexities – just input a URL, and voilà! Your content is ready to roll. Plus, it’s open-source, meaning it’s accessible to everyone! 🌟 Ready to dive in? Check it out here: [Insert your link] 🌍🔥 #AI #TechInnovation #DataTransformation #OpenSource #WebCrawling #DigitalTools #AIForEveryone #TechSimplified #DataDriven #FutureOfTech #CodingMadeSimple #AIApplications #TechForGood #Innovation #Firecrawl https://www.firecrawl.dev/

SkyReels-V2 is an open-source infinite-length film generative model that uses a Diffusion Forcing framework. It combines Multi-modal Large Language Models (MLLM), Multi-stage Pretraining, Reinforcement Learning, and Diffusion Forcing techniques to achieve comprehensive optimization for video generation. The project enables practical applications such as Story Generation, Image-to-Video Synthesis, Camera Director functionality, and multi-subject consistent video generation. https://github.com/SkyworkAI/SkyReels-V2 https://github.com/SkyworkAI/SkyReels-V1 #AI #VideoCreation #SkyReelsV2 #TechInnovation #OpenSource #CreativityUnleashed #FutureOfVideo #AIStorytelling #ContentCreation #VideoEditing #DigitalCreators #AIInnovation #TechRevolution #ImageToVideo #VideoMagic

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