Dan Constantini (@danoandco) 's Twitter Profile
Dan Constantini

@danoandco

Building literalai.com & @chainlit_io | Prev c3.ai

ID: 747818470742564864

calendar_today28-06-2016 15:46:32

234 Tweet

225 Followers

982 Following

lmarena.ai (formerly lmsys.org) (@lmarena_ai) 's Twitter Profile Photo

No more waiting. o1's is officially on Chatbot Arena! We tested o1-preview and mini with 6K+ community votes. 🥇o1-preview: #1 across the board, especially in Math, Hard Prompts, and Coding. A huge leap in technical performance! 🥈o1-mini: #1 in technical areas, #2 overall.

No more waiting. o1's is officially on Chatbot Arena!

We tested o1-preview and mini with 6K+ community votes.

🥇o1-preview: #1 across the board, especially in Math, Hard Prompts, and Coding. A huge leap in technical performance!
🥈o1-mini: #1 in technical areas, #2 overall.
AI at Meta (@aiatmeta) 's Twitter Profile Photo

🎥 Today we’re premiering Meta Movie Gen: the most advanced media foundation models to-date. Developed by AI research teams at Meta, Movie Gen delivers state-of-the-art results across a range of capabilities. We’re excited for the potential of this line of research to usher in

willy douhard (@willy_douhard) 's Twitter Profile Photo

🎙️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.

Dan Constantini (@danoandco) 's Twitter Profile Photo

💡 When using an LLM-as-a-Judge scorer, who goes first: the rationale or the score? 📏 An LLM-as-a-Judge scorer produces both a score and a rationale based on a rubric. Ideally, the score is categorical (A, B, C, D, etc.), which you can map to values between 0 and 1. 🥇Whether

Chainlit (@chainlit_io) 's Twitter Profile Photo

🚀 New LiteLLM (YC W23) Integration 🚀 Track & log all your LiteLLM calls with Literal AI in just 2 lines of code! LiteLLM allows you to interact with 100+ LLMs (OpenAI, Anthropic, Mistral AI, etc.) seamlessly using a consistent OpenAI-compatible format, either use their python

Dan Constantini (@danoandco) 's Twitter Profile Photo

Great talk by merve at dotAI on the growing open-source ecosystem in Hugging Face! With the new Mistral AI 3B & 8B Ministrals models, customized edge LLM-based applications are becoming more accessible than ever💡

Great talk by <a href="/mervenoyann/">merve</a> at <a href="/dotaiconf/">dotAI</a> on the growing open-source ecosystem in <a href="/huggingface/">Hugging Face</a>!

With the new <a href="/MistralAI/">Mistral AI</a> 3B &amp; 8B Ministrals models, customized edge LLM-based applications are becoming more accessible than ever💡
LlamaIndex 🦙 (@llama_index) 's Twitter Profile Photo

We are thrilled to announce a case study of a successful internal deployment of LlamaIndex at NVIDIA, an internal AI assistant for sales 🧑‍💼🤖 * Uses Llama 3.1 405b for simple queries, 70b model for document searches * Retrieves from multiple sources: internal docs, NVIDIA site,

We are thrilled to announce a case study of a successful internal deployment of LlamaIndex at <a href="/nvidia/">NVIDIA</a>, an internal AI assistant for sales 🧑‍💼🤖

* Uses Llama 3.1 405b for simple queries, 70b model for document searches
* Retrieves from multiple sources: internal docs, NVIDIA site,
Mervin Praison (@mervinpraison) 's Twitter Profile Photo

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 📈 Analyse charts and graphs

Dan Constantini (@danoandco) 's Twitter Profile Photo

🏃‍♂️ Overheard someone say “How do you track your runs?” Me wondering what type of AI agents they are building Them: “I use Strava.” 🤦

Chainlit (@chainlit_io) 's Twitter Profile Photo

🚀 Exciting demo with humanlayer 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!

François Chollet (@fchollet) 's Twitter Profile Photo

Today OpenAI announced o3, its next-gen reasoning model. We've worked with OpenAI to test it on ARC-AGI, and we believe it represents a significant breakthrough in getting AI to adapt to novel tasks. It scores 75.7% on the semi-private eval in low-compute mode (for $20 per task

Today OpenAI announced o3, its next-gen reasoning model. We've worked with OpenAI to test it on ARC-AGI, and we believe it represents a significant breakthrough in getting AI to adapt to novel tasks.

It scores 75.7% on the semi-private eval in low-compute mode (for $20 per task
Chainlit (@chainlit_io) 's Twitter Profile Photo

🔥 Chainlit now supports Anthropic's Model Control Protocol (MCP)! Check out our demo with @Stripe's MCP. Compatible with popular frameworks like LangChain. Link to the code at the end of the thread 👇

Dan Constantini (@danoandco) 's Twitter Profile Photo

Chainlit Anthropic Stripe LangChain lots of MCPs out there, but not enough clients 👇 `chainlit run app.py` launches a FastAPI chat application with chain-of-thought that can connect to any MCP server 🔥

Linkup (@linkup_platform) 's Twitter Profile Photo

Excited to announce the integration of Linkup’s search in Chainlit's conversational AI. In a minute, add a “🌐Search web” button to your chatbot and give it access to fresh grounding content for accurate answers. cc Dan Constantini Literal AI

Excited to announce the integration of Linkup’s search in <a href="/chainlit_io/">Chainlit</a>'s conversational AI.

In a minute, add a “🌐Search web” button to your chatbot and give it access to fresh grounding content for accurate answers. cc  <a href="/danoandco/">Dan Constantini</a> <a href="/literalai/">Literal AI</a>
Theodora Chu (@chu_onthis) 's Twitter Profile Photo

new mcp spec just dropped: 1. auth is fixed! at last! 2. elicitation now makes it possible for a server to ask an end-user for more info, enabling more agentic behaviors 3. structured tool outputs makes it easier to reason about tool responses 4. more security documentation