Omi Health’s founder says he fine-tuned NVIDIA Parakeet TDT 0.6B v2 for clinical speech and released Omi Med STT v1 under CC-BY-4.0. The runtime supports Mac, Windows, and Linux, auto-selecting MLX, NeMo, or GGUF/parakeet.cpp backends. In the author’s held-out medical benchmark, it reports 2.37% medical-WER and 145× realtime on local A10 compute.
Hugging Face and IBM Research have jointly announced the launch of the "Open Agent Leaderboard," aimed at establishing an objective, standardized, and fully…
As large language models (LLMs) are deployed across a wide range of industries, ensuring the "factuality" of model outputs and reducing "hallucination" has…
Hugging Face has recently introduced a new benchmark called "TextQuests," designed to evaluate the performance of large language models (LLMs) in text-based…
As large multimodal models (LMMs) have achieved breakthroughs in image and short-video understanding, the industry has gradually shifted its attention to the…
### What is FutureBench? As large language models (LLMs) and AI agents have rapidly advanced, traditional static benchmarks (such as MMLU and GSM8K) face a…
With the rise of Anthropic's Claude 3.5 Sonnet "Computer Use" and various GUI-oriented multimodal models, "desktop agents" have become one of the hottest areas…
### Background and Pain Points: Moving Beyond the Overly Simple "Needle in a Haystack" Test In recent years, the context window length supported by large…
As large language model (LLM) technology has evolved, AI has transformed from a simple question-answering assistant into an "AI agent" capable of proactively…
### Background and Challenges: The Difficulty of Evaluating Non-English LLMs In the current landscape of large language model (LLM) development, evaluating…
This article from the Hugging Face blog introduces "The First Multilingual LLM Debate Competition." As large language models (LLMs) have rapidly advanced…
As large language models (LLMs) have rapidly advanced, traditional static benchmarks (such as MMLU) have increasingly faced saturation and gaming problems. As…
The Hugging Face team published a blog post announcing that their Code Agent, developed using the `transformers` library, achieved a breakthrough score on the…
As large language models (LLMs) have made tremendous strides in code generation, the long-standing industry gold standard — the HumanEval benchmark — has…
Hugging Face has announced the official launch of the "Open Medical-LLM Leaderboard" in collaboration with researchers from Open Life Science AI and the…
As code large language models (Code LLMs) develop rapidly, fairly and accurately evaluating their capabilities has become a major challenge. Traditional…
Hugging Face has announced the launch of a new multimodal benchmark and leaderboard called "ConTextual," aimed at addressing the shortcomings of existing…
Hugging Face has announced the launch of the new **NPHardEval** leaderboard — a benchmark specifically designed to evaluate the reasoning capabilities of large…
Hugging Face has partnered with Patronus AI — a startup focused on LLM evaluation and defense — to officially launch the **Enterprise Scenarios Leaderboard**…