Hugging Face has introduced the Enterprise Scenarios Leaderboard, a benchmarking tool designed to evaluate AI models on real-world tasks. The leaderbo...
Hugging Face's blog post discusses the integration of Intel's Optimum compiler with their StarCoder framework for accelerating AI workloads. The integ...
A new leaderboard has been created by Hugging Face to measure and compare the hallucination rates of large language models. Hallucinations occur when ...
Hugging Face has introduced a leaderboard for assessing the safety of large language models (LLMs). The leaderboard, called AI Secure LLM Safety Leade...
OpenAI has released new embedding models, which are pre-trained neural networks that represent words and phrases in a numerical format. The company al...
Hugging Face, a company that provides an open-source platform for natural language processing (NLP) models, has partnered with Google Cloud Platform (...
Hugging Face has proposed a new approach to using open-source large language models (LLMs) as agents in the LangChain framework. This involves integra...
Researchers have demonstrated how to fine-tune the pre-trained W2V2-BERT model for low-resource automatic speech recognition (ASR) tasks using the 🤗 T...
Hugging Face has announced the addition of PatchTSMixer to its library. This is a new type of transformer architecture that combines the efficiency of...
Researchers have proposed a new approach to fine-tune large language models (LLMs) called direct preference optimization methods. This method allows f...
OpenAI has completed a grant program that aimed to develop collective governance tools for AI. Ten teams worldwide were funded to design innovative so...
OpenAI is taking steps to address potential issues in the 2024 worldwide elections. They aim to prevent AI-generated content from being used for malic...