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BullshitBench measures whether AI models challenge nonsensical prompts instead of confidently answering them, created by Peter Gostev.
a model to generate estimates of the number of outstanding votes on an election night based on the current results of the race
Data and analysis for 'Machine Bias'
A beautiful, simple, clean, and responsive Jekyll theme for academics
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
A compositional diagramming and animation library as an eDSL in Python
This is the repository for the BioCLIP model and the TreeOfLife-10M dataset [CVPR'24 Oral, Best Student Paper].
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
OpenAI Assistants API quickstart with Next.js.
Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)" (ICML 2024)
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.