• 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
    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
    GitHub - microsoft/markitdown: Python tool for converting files and office documents to Markdown.
    github.com
    Python tool for converting files and office documents to Markdown. - microsoft/markitdown
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  • Supa is a versatile AI platform designed to assist users by completing various assignments, including academic writing, presentations, and reports with high efficiency. It harnesses powerful AI models like ChatGPT, Gemini, Llama, and more to produce polished outputs tailored to user specifications. By streamlining research, writing, and presentation processes, Supa aims to enhance productivity for students, HR teams, and sales professionals.

    https://www.supa.inc/

    #supa #ai #chatgpt #gemini #llama #aiplatform #academicwriting #airesearch #aipresentations #aireports #productivitytools #copyai #jasperai #aiseo #aitools #hrtech #salesenablement #aiwritingassistant #assignments
    Supa is a versatile AI platform designed to assist users by completing various assignments, including academic writing, presentations, and reports with high efficiency. It harnesses powerful AI models like ChatGPT, Gemini, Llama, and more to produce polished outputs tailored to user specifications. By streamlining research, writing, and presentation processes, Supa aims to enhance productivity for students, HR teams, and sales professionals. https://www.supa.inc/ #supa #ai #chatgpt #gemini #llama #aiplatform #academicwriting #airesearch #aipresentations #aireports #productivitytools #copyai #jasperai #aiseo #aitools #hrtech #salesenablement #aiwritingassistant #assignments
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  • What is Amazon Bedrock AgentCore?
    Amazon Bedrock AgentCore enables you to deploy and operate highly capable AI agents securely, at scale. It offers infrastructure purpose-built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real-world deployment. AgentCore services can be used together or independently and work with any framework including CrewAI, LangGraph, LlamaIndex, and Strands Agents, as well as any foundation model in or outside of Amazon Bedrock, giving you ultimate flexibility. AgentCore eliminates the undifferentiated heavy lifting of building specialized agent infrastructure, so you can accelerate agents to production.

    https://aws.amazon.com/bedrock/agentcore/

    #AmazonBedrockAgentCore #AgentCore #AWS #AIagents #AI #LLMs #CrewAI #LangGraph #LlamaIndex #StrandsAgents #FoundationModels #AIinfrastructure #AgentOrchestration #AIdeployment #ServerlessAI #AutoGen #MLOps
    What is Amazon Bedrock AgentCore? Amazon Bedrock AgentCore enables you to deploy and operate highly capable AI agents securely, at scale. It offers infrastructure purpose-built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real-world deployment. AgentCore services can be used together or independently and work with any framework including CrewAI, LangGraph, LlamaIndex, and Strands Agents, as well as any foundation model in or outside of Amazon Bedrock, giving you ultimate flexibility. AgentCore eliminates the undifferentiated heavy lifting of building specialized agent infrastructure, so you can accelerate agents to production. https://aws.amazon.com/bedrock/agentcore/ #AmazonBedrockAgentCore #AgentCore #AWS #AIagents #AI #LLMs #CrewAI #LangGraph #LlamaIndex #StrandsAgents #FoundationModels #AIinfrastructure #AgentOrchestration #AIdeployment #ServerlessAI #AutoGen #MLOps
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  • Claims are awash on X about how the latest Kimi Model K2 beats Grok 4. My verdict ... try it for yourself ! l also noticed that some models are better in certain contexts than others but fail in other context where others excel. So my take is to know which is which for yourself .. don' t just rely on Benchmarks, social media posters and such ...

    Now back to Kimi AI the chinese controversial release:

    Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model with 32 billion activated parameters and 1 trillion total parameters. Trained with the Muon optimizer, Kimi K2 achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities.

    Key Features
    Large-Scale Training: Pre-trained a 1T parameter MoE model on 15.5T tokens with zero training instability.
    MuonClip Optimizer: We apply the Muon optimizer to an unprecedented scale, and develop novel optimization techniques to resolve instabilities while scaling up.
    Agentic Intelligence: Specifically designed for tool use, reasoning, and autonomous problem-solving.
    Model Variants
    Kimi-K2-Base: The foundation model, a strong start for researchers and builders who want full control for fine-tuning and custom solutions.
    Kimi-K2-Instruct: The post-trained model best for drop-in, general-purpose chat and agentic experiences. It is a reflex-grade model without long thinking.

    https://github.com/MoonshotAI/Kimi-K2
    https://www.moonshot.ai/
    https://platform.moonshot.ai/docs/introduction#text-generation-model
    https://github.com/MoonshotAI/Kimi-K2/blob/main/docs/deploy_guidance.md(Deployment Guide)

    #KimiK2 #KimiAI #MoonshotAI #Grok4 #LLM #LargeLanguageModel #MoE #MixtureOfExperts #AI #AgenticAI #MuonOptimizer #AICoding #Chatbot #KimiK2Base #KimiK2Instruct #TextGeneration #FrontierKnowledge #Reasoning #AutonomousProblemSolving #TransformerModel #Claude #Gemini #GPT4 #OpenAI #Llama3 #AIModels #GitHub #X #SocialMedia #Benchmarks #ControversialRelease #ChineseAI #AIInnovation #DeepLearning #NaturalLanguageProcessing #NLP #AIResearch #AIML #MachineLearning #DataScience #ArtificialIntelligence #BigData #Technology #Innovation #Tech #AISolutions #DigitalTransformation #AICommunity #AINews #EmergingTech #TechTrends
    Claims are awash on X about how the latest Kimi Model K2 beats Grok 4. My verdict ... try it for yourself ! l also noticed that some models are better in certain contexts than others but fail in other context where others excel. So my take is to know which is which for yourself .. don' t just rely on Benchmarks, social media posters and such ... Now back to Kimi AI the chinese controversial release: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model with 32 billion activated parameters and 1 trillion total parameters. Trained with the Muon optimizer, Kimi K2 achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities. Key Features Large-Scale Training: Pre-trained a 1T parameter MoE model on 15.5T tokens with zero training instability. MuonClip Optimizer: We apply the Muon optimizer to an unprecedented scale, and develop novel optimization techniques to resolve instabilities while scaling up. Agentic Intelligence: Specifically designed for tool use, reasoning, and autonomous problem-solving. Model Variants Kimi-K2-Base: The foundation model, a strong start for researchers and builders who want full control for fine-tuning and custom solutions. Kimi-K2-Instruct: The post-trained model best for drop-in, general-purpose chat and agentic experiences. It is a reflex-grade model without long thinking. https://github.com/MoonshotAI/Kimi-K2 https://www.moonshot.ai/ https://platform.moonshot.ai/docs/introduction#text-generation-model https://github.com/MoonshotAI/Kimi-K2/blob/main/docs/deploy_guidance.md(Deployment Guide) #KimiK2 #KimiAI #MoonshotAI #Grok4 #LLM #LargeLanguageModel #MoE #MixtureOfExperts #AI #AgenticAI #MuonOptimizer #AICoding #Chatbot #KimiK2Base #KimiK2Instruct #TextGeneration #FrontierKnowledge #Reasoning #AutonomousProblemSolving #TransformerModel #Claude #Gemini #GPT4 #OpenAI #Llama3 #AIModels #GitHub #X #SocialMedia #Benchmarks #ControversialRelease #ChineseAI #AIInnovation #DeepLearning #NaturalLanguageProcessing #NLP #AIResearch #AIML #MachineLearning #DataScience #ArtificialIntelligence #BigData #Technology #Innovation #Tech #AISolutions #DigitalTransformation #AICommunity #AINews #EmergingTech #TechTrends
    GitHub - MoonshotAI/Kimi-K2: Kimi K2 is the large language model series developed by Moonshot AI team
    github.com
    Kimi K2 is the large language model series developed by Moonshot AI team - MoonshotAI/Kimi-K2
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  • 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
    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
    GitHub - Shubhamsaboo/awesome-llm-apps: Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
    github.com
    Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models. - Shubhamsaboo/awesome-llm-apps
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  • "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/
    "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/
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  • NVIDIA's NIM API catalog offers Nemotron and Llama-3.1 models from compact edge variants to ultra-scale versions, supporting language, vision-language, coding, math, and specialized tasks. The diverse parameter sizes and modalities let developers balance accuracy with efficiency across PCs, on-device inference, and high-performance servers.

    Key Points:
    - Models range from 4B "nano" to 253B "ultra" parameters for flexible accuracy-efficiency tradeoffs
    - Multi-modal options combine text, image, and video understanding
    - Advanced reasoning, coding, and math capabilities for scientific and AI agent use cases
    - Edge-optimized variants enable low-latency, on-device inference
    - Bilingual Hindi-English model expands language support
    - 70B reward model facilitates RLHF for better human alignment
    - Emphasis on high inference efficiency and domain versatility

    https://build.nvidia.com/search/models?filters=publisher%3Anvidia&q=Nemotron&ncid=no-ncid
    NVIDIA's NIM API catalog offers Nemotron and Llama-3.1 models from compact edge variants to ultra-scale versions, supporting language, vision-language, coding, math, and specialized tasks. The diverse parameter sizes and modalities let developers balance accuracy with efficiency across PCs, on-device inference, and high-performance servers. Key Points: - Models range from 4B "nano" to 253B "ultra" parameters for flexible accuracy-efficiency tradeoffs - Multi-modal options combine text, image, and video understanding - Advanced reasoning, coding, and math capabilities for scientific and AI agent use cases - Edge-optimized variants enable low-latency, on-device inference - Bilingual Hindi-English model expands language support - 70B reward model facilitates RLHF for better human alignment - Emphasis on high inference efficiency and domain versatility https://build.nvidia.com/search/models?filters=publisher%3Anvidia&q=Nemotron&ncid=no-ncid
    Try NVIDIA NIM APIs
    build.nvidia.com
    Experience the leading models to build enterprise generative AI apps now.
    0 Comments ·0 Shares ·175 Views
  • NVIDIA's Nemotron family delivers enterprise-grade multimodal AI models designed for complex reasoning tasks across scientific research, advanced mathematics, coding, and visual analysis. The lineup includes three variants optimized for different deployment scenarios: Nano for edge computing and cost-sensitive applications, Super for single-GPU workloads balancing performance and efficiency, and Ultra for maximum accuracy in data center environments. Unlike many AI models with restrictive licensing, Nemotron offers commercial viability with an open license that allows organizations to customize the models while maintaining control over their data and deployments.

    #Nemotron #NVIDIANemotron #NVIDIA #MultimodalAI #EnterpriseAI #AICoding #AIScience #AIReasoning #OpenSourceAI #EdgeAI #ComputerVision #AIModels #MachineLearning #ArtificialIntelligence #TechInnovation

    https://build.nvidia.com/nvidia/llama-3_1-nemotron-ultra-253b-v1
    https://github.com/NVIDIA/GenerativeAIExamples
    NVIDIA's Nemotron family delivers enterprise-grade multimodal AI models designed for complex reasoning tasks across scientific research, advanced mathematics, coding, and visual analysis. The lineup includes three variants optimized for different deployment scenarios: Nano for edge computing and cost-sensitive applications, Super for single-GPU workloads balancing performance and efficiency, and Ultra for maximum accuracy in data center environments. Unlike many AI models with restrictive licensing, Nemotron offers commercial viability with an open license that allows organizations to customize the models while maintaining control over their data and deployments. #Nemotron #NVIDIANemotron #NVIDIA #MultimodalAI #EnterpriseAI #AICoding #AIScience #AIReasoning #OpenSourceAI #EdgeAI #ComputerVision #AIModels #MachineLearning #ArtificialIntelligence #TechInnovation https://build.nvidia.com/nvidia/llama-3_1-nemotron-ultra-253b-v1 https://github.com/NVIDIA/GenerativeAIExamples
    llama-3.1-nemotron-ultra-253b-v1 Model by NVIDIA | NVIDIA NIM
    build.nvidia.com
    Superior inference efficiency with highest accuracy for scientific and complex math reasoning, coding, tool calling, and instruction following.
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  • Explore the world of AI with local, open-source alternatives to ChatGPT! These tools offer privacy, offline access, and full control over your chatbot experience. Here are 10 of the best options from a recent roundup:

    Gaia by AMD - A user-friendly model running fully locally on Windows PCs, optimized for Ryzen AI.

    Ollama - A sleek interface for LLaMA, Mistral, and Gemma, making local LLM usage simple and efficient.

    LM Studio - A GUI application that supports various models and offers an intuitive user experience.

    LocalAI - An API-compatible tool that allows easy integration of local LLMs into your applications.

    Text Generation Web UI (oobabooga) - A feature-rich local LLM with extensive plugin support and community-driven enhancements.

    PrivateGPT - Offers a fully offline AI experience with document querying capabilities, perfect for sensitive data.

    GPT4All - A plug-and-play solution for using multiple LLMs seamlessly on consumer hardware.

    Jan - A beautiful local assistant with a focus on code assistance, catering especially to macOS users.

    Hermes/KoboldAI Horde - Designed for storytelling and dialogue, perfect for writers and creatives.

    Chatbot UI + Ollama Backend - A ChatGPT-style interface for a personalized local chatbot experience.

    These tools not only protect your privacy but also empower you to customize your AI interactions. Dive into the open-source revolution!

    #AI #ChatGPT #OpenSource #LocalAI #Privacy #MachineLearning #LLM #NLP #DevTools #localai #opensource #chatgpt #llm #ai #gaia #ollama #lmstudio #textgenerationwebui #privategpt #gpt4all #jan #hermes #koboldai #chatbotui #amd #ryzenai #llama #mistral #gemma #macos #offlineai #aicoding #chatbot #localmodels

    https://dev.to/therealmrmumba/10-best-open-source-chatgpt-alternative-that-runs-100-locally-jdc
    🚀 Explore the world of AI with local, open-source alternatives to ChatGPT! 🖥️ These tools offer privacy, offline access, and full control over your chatbot experience. Here are 10 of the best options from a recent roundup: Gaia by AMD - A user-friendly model running fully locally on Windows PCs, optimized for Ryzen AI. Ollama - A sleek interface for LLaMA, Mistral, and Gemma, making local LLM usage simple and efficient. LM Studio - A GUI application that supports various models and offers an intuitive user experience. LocalAI - An API-compatible tool that allows easy integration of local LLMs into your applications. Text Generation Web UI (oobabooga) - A feature-rich local LLM with extensive plugin support and community-driven enhancements. PrivateGPT - Offers a fully offline AI experience with document querying capabilities, perfect for sensitive data. GPT4All - A plug-and-play solution for using multiple LLMs seamlessly on consumer hardware. Jan - A beautiful local assistant with a focus on code assistance, catering especially to macOS users. Hermes/KoboldAI Horde - Designed for storytelling and dialogue, perfect for writers and creatives. Chatbot UI + Ollama Backend - A ChatGPT-style interface for a personalized local chatbot experience. These tools not only protect your privacy but also empower you to customize your AI interactions. Dive into the open-source revolution! #AI #ChatGPT #OpenSource #LocalAI #Privacy #MachineLearning #LLM #NLP #DevTools #localai #opensource #chatgpt #llm #ai #gaia #ollama #lmstudio #textgenerationwebui #privategpt #gpt4all #jan #hermes #koboldai #chatbotui #amd #ryzenai #llama #mistral #gemma #macos #offlineai #aicoding #chatbot #localmodels https://dev.to/therealmrmumba/10-best-open-source-chatgpt-alternative-that-runs-100-locally-jdc
    10 best open source ChatGPT alternative that runs 100% locally
    dev.to
    AI chatbots have taken the world by storm—and leading the charge is OpenAI’s ChatGPT. But as powerful...
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  • 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
    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
    GitHub - browser-use/web-ui: 🖥️ Run AI Agent in your browser.
    github.com
    🖥️ Run AI Agent in your browser. Contribute to browser-use/web-ui development by creating an account on GitHub.
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