Sentence Transformers has been integrated with PEFT (Parameter-Efficient Fine-Tuning), allowing you to finetune embedding models without fine-tuning all of the model parameters. Instead, with PEFT ...
This project uses Python, Hugging Face (sentence-transformers), Milvus + Docker (container running Vector DB) to create a vector database, populate it with details of many people (names, ages, ...
Hugging Face has launched the integration of four serverless inference providers Fal, Replicate, SambaNova, and Together AI, ...
A group of developers at Hugging Face say that they've built an 'open' version of OpenAI's deep research tool.
Hugging Face's new Inference Providers feature is designed to make it easier for devs to run AI models using the hardware of ...
Peng wanted to test this hunch. His team started by studying the properties of a simple transformer, one with only a single layer, which learns to “pay attention” to the ordering and position of a ...
Dubbed “nullifAI,” a Tactic for Evading Detection in ML Models Targeted Pickle Files, Demonstrates Fast-Growing Cybersecurity Risks Presented by ...
The AI development platform Hugging Face has integrated access to serverless inference providers into its service. This integration is intended to enable developers to run their AI models on the ...
There’s an old adage: Crime doesn’t pay. With his post-sentence fundraising appeal, the president-elect is putting the maxim to the test. By Steve Benen In the days leading up to Donald Trump ...