🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Trying out AI Avatars by Gan.AI, and obviously had to make mine rap! Launching soon - stay tuned for more 🎤🚀

This. built in India ( in Delhi no less :P ) . on very little capital . while revenue generating . supported by Peak XV Partners from day one. Suvrat Bhooshan Anupreet Singh Lamba and the team Gan.AI is something else ! ved Surge Rajan Anandan

Today, we’re excited to announce the general availability of the Contextual AI Platform. This is the first enterprise platform designed for building specialized RAG agents to support expert knowledge work. What is a specialized RAG agent? First, a general-purpose AI agent is one

CHARCHA, our patent-pending identity verification protocol, verifies you are you while also training on you. The result? Music videos that adapt to lyrics, rhythm & emotion while keeping user identity secure. This ensures only ScarJo can create a music video featuring her! 🎨🛡️

Congratulations to Stanford HAI Associate Director Christopher Manning for being elected to National Academy of Engineering – the highest professional distinction awarded to an engineer!👏 nae.edu/19579/31222/20…

The new Computing and Data Science (CoDa) building at Stanford University is beautiful, with many lovely spaces, and a great, if already too crowded, Voyager Coffee coffee shop. news.stanford.edu/stories/2025/0…

🚀 Introducing our Grounded Language Model (GLM)—the most grounded language model in the world! With state-of-the-art performance on FACTS (the leading groundedness benchmark) and our customer datasets, the GLM is the single best language model for RAG and agentic use cases, for

AI struggles with messy, conflicting, ever-changing data. Today's AI ranking methods can't prioritize clearly, because they lack human guidance. Introducing the world's first instruction-following, SOTA reranker! Give our reranker instructions to control exactly how it ranks: •

Congratulations to Stanford University faculty members, including Stanford HAI Senior Fellow Christopher Manning, for being elected as new members to the American Academy of Arts & Sciences. What a prestigious honor! 👏 news.stanford.edu/stories/2025/0…

Excited to release SWiRL: A synthetic data generation and multi-step RL approach for reasoning and tool use! With SWiRL, the model’s capability generalizes to new tasks and tools. For example, a model trained to use a retrieval tool to solve multi-hop knowledge-intensive

Excited to share our new paper on Step-Wise Reinforcement Learning (SWiRL), which uses reinforcement learning and synthetic trajectories to improve multi-step reasoning and tool use! (1/8)

A 2-year ensemble of our LLM work summarized in 60 slides. You’ll get every bit of insight going through them in <20 minutes: i.stanford.edu/~jure/pub/talk… Thanks Jure Leskovec for the great talk ❤️!

Tokasaurus is out! Happy Throughput Thursday to those who celebrate :)

We're excited to release MIRIAD - a massive-scale 5.8M+ synthetic dataset for retrieval in medicine. It improves RAG performance, helps LLMs detect medical hallucinations, and enables training of domain-specific retrievers. 🤗 Dataset: huggingface.co/miriad 🖥️ Code:

Big congratulations to Parth Sarthi on graduating from Stanford University today!

Even the smartest LLMs can fail at basic multiturn communication Ask for grocery help → without asking where you live 🤦‍♀️ Ask to write articles → assumes your preferences 🤷🏻‍♀️ ⭐️CollabLLM (top 1%; oral ICML Conference) transforms LLMs from passive responders into active collaborators.

Introducing 🔥Optimas🔥: The first unified framework to optimize compound AI systems composed of multiple components like trainable/API-based LLMs, tools, model routers, and traditional ML models! 🌐 👉🏻 optimas.stanford.edu 🌟 Why Optimas? AI systems today combine diverse

CollabLLM won #ICML2025 ✨Outstanding Paper Award along with 6 other works! icml.cc/virtual/2025/a… 🫂 Absolutey honored and grateful for coauthors Microsoft Research Stanford AI Lab and friends who made this happen! 🗣️ Welcome people to our presentations about CollabLLM tomorrow