🔥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

It’s happening! TVM Conference. Incredibly proud of and grateful to the whole UW SAMPL team and TVM contributors.

Our recent work combines Maps data with hospitalization and death records to model the COVID-19 transmission rates., finding that for many states increasing mobility will lead to a significant increase in cases.

Super excited to share our work on LOTUS, a query engine for reasoning over large corpuses of data with LLMs! Joint work w/ the amazing Sid Jha, Matei Zaharia & Carlos Guestrin Read the paper: arxiv.org/abs/2407.11418 Try out the code: github.com/stanford-futur… 🧵👇

Many providers offer inference APIs for the same models: for example, there were over nine Llama-3 8B APIs in Summer 2024. Do all of these APIs serve the same completion distribution as the original model? In our new paper, ✨Model Equality Testing: Which Model is This API

Prior work has used LLMs to simulate survey responses, yet their ability to match the distribution of views remains uncertain. Our new paper [arxiv.org/pdf/2411.05403] introduces a benchmark to evaluate how distributionally aligned LLMs are with human opinions. 🧵

🧵LLMs are great at synthesizing info, but unreliable at citing sources. Search engines are the opposite. What lies between them? Our new paper runs human evals on 7 systems across the✨extractive-abstractive spectrum✨for utility, citation quality, time-to-verify, & fluency!

Can interpretability help defend LLMs? We find we can reshape activations while preserving a model’s behavior. This lets us attack latent-space defenses, from SAEs and probes to Circuit Breakers. We can attack so precisely that we make a harmfulness probe output this QR code. 🧵

We've been building LOTUS at Stanford and Berkeley to make LLM-powered data processing fast, easy and declarative. LOTUS is an open-source query engine that makes programming as easy as writing Pandas and optimizes your programs for up to 400x speedups. To celebrate the

SAIL is delighted to announce Carlos Carlos Guestrin, the Fortinet Founders Professor of Computer Science, as the next Director of Stanford AI Lab. Carlos is a talented researcher and leader, known for his work on explainability, graphs, compilation, and boosted trees in AI.

Excited to share our release of LOTUS 1.1.0, which now makes it easier than ever to get started with LLM-powered data processing over a variety of custom knowledge sources. Seamlessly connect to data from the web, your SQL databases, vector databases and more. And process it

We are super excited to empower developers to focus on their goal of building innovative AI applications; we’ll take care of safety and security! What an awesome ride with Bo Li Bo Li, Sanmi Koyejo, Dawn Song and the whole Virtue AI team!

The SAIL Postdoctoral Fellowship is a fantastic opportunity for recent PhDs to do their most innovative and impactful AI research, while being part of a highly collaborative and welcoming environment at Stanford.

SAIL Postdoctoral Fellows is an awesome opportunity to collaborate with the amazing faculty and students in the Stanford AI Lab!

Explaining predictions of any #MachineLearning method. Video of our LIME approach. Marco Tulio Ribeiro Sameer Singh Allen School News x.com/marcotcr/statu…

Go #XGBoost!! Tianqi Chen Allen School News x.com/xamat/status/7…

Great work, Marco and Sameer Singh on explaining #MachineLearning predictions. x.com/bigdata/status…

#TVM enables #deeplearning training and inference across a wide range of hardware. Super excited! #UWCSE Tianqi Chen Luis Ceze x.com/lazowska/statu…

Excited Apple hosting technical and social events at #NIPS2017. To attend and learn more about research and ML at Apple, please come and talk to us at our booth.

Proud we open-sourced #Turi Create to make #MachineLearning easy for every creative developer. #NIPS2017 github.com/apple/turicrea…

.Vega, Vega-Lite & Altair is an awesome tool to develop visualization projects! x.com/jeffrey_heer/s…