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New release

Alyah ⭐️: Toward Robust Evaluation of Emirati Dialect Capabilities in Arabic LLMs

Hugging Face Blog · 1 min read

New release

Evaluating chain-of-thought monitorability

OpenAI News · 1 min read

New release

The Open Evaluation Standard: Benchmarking NVIDIA Nemotron 3 Nano with NeMo Evaluator

Hugging Face Blog · 1 min read

New release

Investing in Performance: Fine-tune small models with LLM insights - a CFM case study

Hugging Face Blog · 1 min read

New release

You could have designed state of the art positional encoding

Hugging Face Blog · 1 min read

New release

Introducing the Open Leaderboard for Japanese LLMs!

Hugging Face Blog · 1 min read

New release

Judge Arena: Benchmarking LLMs as Evaluators

Hugging Face Blog · 1 min read

New release

Argilla 2.4: Easily Build Fine-Tuning and Evaluation Datasets on the Hub — No Code Required

Hugging Face Blog · 1 min read

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News

Alyah ⭐️: Toward Robust Evaluation of Emirati Dialect Capabilities in Arabic LLMs

Evaluating chain-of-thought monitorability

The Open Evaluation Standard: Benchmarking NVIDIA Nemotron 3 Nano with NeMo Evaluator

Evaluating AI’s ability to perform scientific research tasks

Introducing Aardvark: OpenAI’s agentic security researcher

BigCodeArena: Judging code generations end to end with code executions

Introducing AgentKit, new Evals, and RFT for agents

SOTA OCR with Core ML and dots.ocr

Introducing RTEB: A New Standard for Retrieval Evaluation

Gaia2 and ARE: Empowering the community to study agents

OpenAI and Anthropic share findings from a joint safety evaluation

Introducing gpt-oss

Introducing study mode in ChatGPT

Ettin Suite: SoTA Paired Encoders and Decoders

ScreenSuite - The most comprehensive evaluation suite for GUI Agents!

Expanding on what we missed with sycophancy

Trace & Evaluate your Agent with Arize Phoenix

Strengthening America’s AI leadership with the U.S. National Laboratories

Morgan Stanley is shaping the future of financial services

Investing in Performance: Fine-tune small models with LLM insights - a CFM case study

You could have designed state of the art positional encoding

Introducing the Open Leaderboard for Japanese LLMs!

Judge Arena: Benchmarking LLMs as Evaluators

Argilla 2.4: Easily Build Fine-Tuning and Evaluation Datasets on the Hub — No Code Required