Vincent Le Hénaff

🚀 Exciting demo with @humanlayer_dev and @OpenAI 🚀 Build a next-gen customer support agent that handles queries but loops in a human for critical actions—ensuring precision with a human touch!

Ollama Supports Llama 3.2 Vision: Talk to ANY Image 100% Local! 📚 Step-by-step Hands-on tutorial ⚡ How to Install? @ollama 🏃‍♂️ How to Run? @Meta @aiatmeta 🔌 How to Integrate in your App? 🎮 How to Create UI? @chainlit_io 📈 Analyse charts and graphs

Examine the powerful combination of @LlamaIndex, NVIDIA NIM, and @Chainlit_io to create efficient RAG-based Q&A workflows, enhancing speed and simplification of deployment. ➡️ developer.nvidia.com/blog/creating-… Use this project as inspiration for our NVIDIA and LlamaIndex Developer Contest 🎉 showcasing innovative uses of these technologies in real-world applications and a chance to win exciting prizes. 🏃 Get started now. #DevContest

Great talk by @mervenoyann at @dotaiconf on the growing open-source ecosystem in @huggingface! With the new @MistralAI 3B & 8B Ministrals models, customized edge LLM-based applications are becoming more accessible than ever💡

🚀 New @LiteLLM Integration 🚀 Track & log all your LiteLLM calls with @literalai in just 2 lines of code! LiteLLM allows you to interact with 100+ LLMs (@OpenAI, @AnthropicAI, @MistralAI, etc.) seamlessly using a consistent OpenAI-compatible format, either use their python SDK or their proxy server. We also added an example using the LiteLLM proxy within a @chainlit_io app 🎉

🎙️Chainlit Realtime is here! 🎙️ Featuring first-class WebSocket support for realtime audio interactions in Chainlit applications. We’ve added support for @OpenAI real-time API to unlock a whole new UX for devs building intelligent, responsive assistants.

Build your own Reflection Playground with @chainlit_io, serving @mattshumer_ new Reflection-70b model! 🤗 @huggingface for the weights 🔧 @baseten for inference 🖥️ @nvidia TensorRT 🌐 @chainlit_io for app deployment

🎉 Introducing @literalai Prompt and LLM A/B Testing 📈 Gradually roll out new prompts or LLMs in production and compare performance metrics, reducing risk 🚀 Product teams can independently deploy prompt or LLM updates, speeding up iteration and freeing engineering resources

🇦​​🇮​ ​🇹​​🇴​​🇴​​🇱​​🇸​ A few months ago, while trying to build a chatbot using the OpenAI Streaming Assistants API, I experimented with many solutions, but none of them convinced me. That was until I discovered @chainlit_io and @literalai. You should try it (1)

Not sure if you're behind or ahead in AI adoption? I created this guide to help you benchmark. ↓ ↓ ↓ * many who think they're behind are actually on track, and some who think they're ahead are not ** these insights are my own opinion based on years of work with hundreds of companies across various industries Is your company on track?

🚀 Exciting update! Introducing UI integration with Chainlit by community contributor Kaushal Solanki. Now visualize MetaGPT in action with ease. Check it out here: github.com/geekan/MetaGPT…

@sophiamyang @chainlit_io @MistralAI Great way to share your @MistralAI agentic chat app to your team or to beta-testers and collect feedback

How to build an application to answer complex question with multiple-step reasoning using @MistralAI and @chainlit_io: github.com/mistralai/cook…

Checkout the newest @chainlit_io & @MistralAI cookbook! Thanks @chainlit_io for contributing to our cookbook 🙏

Introducing LangGraph Cloud: How to Publish your AI Agents in Cloud? - @langchain 📊 Dashboard Overview 🛠️ LangGraph App Setup Guide 🧪 Testing AI Agents 🔗 App Integration - @chainlit_io @tavilyai 👀 Monitoring Deployed App Subscribe: @MervinPraison" target="_blank" rel="nofollow noopener">youtube.com/@MervinPraison @hwchase17

Getting started with Amazon Bedrock ✨ Creates a simple chat experience (including UI!) with: - Chainlit - LangChain - Uses Amazon Titan Model from AWS Youtube: youtu.be/i3NmFjvOoXk

Florence-2: Open Source Vision Foundation Model by Microsoft 🌟 Lightweight 💪 Strong zero-shot capabilities 🖼️ 126 million images dataset - FLD-5B 📊 5.4 billion visual annotations 🗺️ Create a Chatbot with this Model - @chainlit_io 🚀 Competitive with larger models 🤖 DaViT vision encoder used 📝 Transformer-based encoder-decoder 📦 Mobile deployment possible 🏆 Better results than Kosmos-2 Subscribe: @MervinPraison" target="_blank" rel="nofollow noopener">youtube.com/@MervinPraison @MicrosoftAI

"Hey Claude, create a UI component based on this screenshot" 🤯Claude 3.5 creates a react and tailwind clone of X/Twitter in less than 60 seconds The video below is in real-time 👇

Claude 3.5 Sonnet + Artifacts changed the LLM game. People are getting creative with wild use cases that were harder with GPT-4o. Is this the new AI king? 10 examples:

Anthropic has taken the lead. The new Clause 3.5 Sonnet model is in a league of it's own. 11 impressive demos of the new model: