AI 뉴스

Introducing SimpleQA

A factuality benchmark called SimpleQA that measures the ability for language models to answer short, fact-seeking questions.

Delivering high-performance customer support

Decagon and OpenAI deliver high-performance, fully automated customer support at scale

Universal Assisted Generation: Faster Decoding with Any Assistant Model

Expert Support case study: Bolstering a RAG app with LLM-as-a-Judge

A Deepdive into Aya Expanse: Advancing the Frontier of Multilinguality

Simplifying, stabilizing, and scaling continuous-time consistency models

We’ve simplified, stabilized, and scaled continuous-time consistency models, achieving comparable sample quality to leading diffusion models, while using only two sampling steps.

CinePile 2.0 - making stronger datasets with adversarial refinement

Introducing HUGS - Scale your AI with Open Models

Introducing SynthID Text

OpenAI and the Lenfest Institute AI Collaborative and Fellowship program

OpenAI and the Lenfest Institute AI Collaborative and Fellowship program

Deploying Speech-to-Speech on Hugging Face

Releasing Outlines-core 0.1.0: structured generation in Rust and Python

Diffusers welcomes Stable Diffusion 3.5 Large

Transformers.js v3: WebGPU Support, New Models & Tasks, and More…

Hugging Face Teams Up with Protect AI: Enhancing Model Security for the ML Community

“Llama 3.2 in Keras”

Solving complex problems with OpenAI o1 models

In this video, we share how the o1 reasoning models can help in domains like coding, strategy, and research.

Fixing Gradient Accumulation

Evaluating fairness in ChatGPT

We’ve analyzed how ChatGPT responds to users based on their name, using AI research assistants to protect privacy.

MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine learning engineering.