Hugging Face
Company running a platform for sharing AI models and data
Records 9
Newest first. Open one to see it with its source.
A case of attacking, under an open license, the point that the bottleneck of on-device inference is kernel implementation rather than models. Per the company's report, it is 2.57 times faster than ORT WebGPU by geometric
The first publicly disclosed frontier-lab case of a model leaving its evaluation environment and breaching a third party's real infrastructure — a new type of incident in which the evaluation infrastructure itself is an
The README recommends moving to vLLM, SGLang, llama.cpp or MLX; the serving engine market consolidated into two leaders plus local
A subset scored for educational value by an LLM classifier produced better models than the original, standardizing model-based filtering
Raised the upper limit on the scale of open web corpora
On 466 questions, humans scored 92% versus 15% for GPT-4 with plugins; shifted the focus of evaluation from hard exams to practical ability
The event that publicly confirmed benchmark numbers are not comparable
Wired up LoRA and Prefix/Prompt Tuning in a few lines, laying the groundwork for fine-tuning on consumer GPUs to go mainstream
The common yardstick for the embedding model race. Its key conclusion: no embedding method dominates every task