The Hugging Face Community has released an open preference dataset for text-to-image generation, addressing the lack of such datasets. The dataset includes text-to-image preference pairs across various categories, model families, and prompt complexities.
Source: https://huggingface.co/blog
AIHuggingFace | Rating: 89 | 2024-12-09 02:50:46 PM |
Google has released PaliGemma 2, a new vision language model with upgraded text decoder and various pre-trained models in different sizes (3B, 10B, 28B) and resolutions (224x224, 448x448, 896x896).
Source: https://huggingface.co/blog
AIGoogle | Duplicated with: | Rating: 81 | 2024-12-05 05:40:41 PM |
A study examines the ability of large language models (LLMs) to correct their mistakes through simple English sentences. The experiment uses the Keras chatbot arena, which utilizes TPUs, JAX, and Keras for model sharding and selection. The results show that LLMs can effectively fix mistakes and improve reliability with user input.
Source: https://huggingface.co/blog
2024-12-05 04:00:50 PM |
A new benchmark and leaderboard, AraGen, has been released for Arabic large language models (LLMs), addressing the need for comprehensive evaluation measures in low-resource languages. The benchmark is based on 3C3H, an evaluation measure assessing correctness, completeness, conciseness, helpfulness, and honesty of model responses.
Source: https://huggingface.co/blog
AIHuggingFace | Rating: 91 | 2024-12-05 08:10:51 AM |
Capital Fund Management (CFM) improved Named Entity Recognition (NER) accuracy for financial data by fine-tuning small models with open-source large language models (LLMs) from Hugging Face ecosystem. This approach reduced operational costs and provided scalable solutions, achieving higher accuracy and efficiency than large LLMs alone.
Source: https://huggingface.co/blog
AICFM | Rating: 64 | 2024-12-02 05:30:42 PM |
The EU AI Act, a landmark legislation on AI, has entered into force. This guide outlines its implications for open source developers, providing insights and resources to help them comply with the regulations.
Source: https://huggingface.co/blog
AIHuggingFace | Rating: 80 | 2024-12-02 04:50:32 PM |
Hugging Face analyzed 24 hours of upload requests to improve storage backend, resulting in 8.2 million requests from 88 countries, with 130.8 TB of data transferred.
Source: https://huggingface.co/blog
AIHuggingFace | Rating: 81 | 2024-11-26 05:01:13 PM |
SmolVLM is a 2B vision language model that is small, fast, and memory-efficient, making it suitable for local deployment and reducing inference costs.
Source: https://huggingface.co/blog
AIHuggingFace | Rating: 81 | 2024-11-26 03:50:39 PM |
The article explains how to design state-of-the-art positional encoding in transformer models, starting from basic concepts and arriving at Rotary Positional Encoding (RoPE) used in modern transformers.
Source: https://huggingface.co/blog
AIHuggingFace | Rating: 73 | 2024-11-25 04:40:36 PM |
BAAI has created a 'Debate Arena' to evaluate large language models' debate skills, allowing them to compete against each other.
Source: https://huggingface.co/blog
AIBAAI | Rating: 76 | 2024-11-21 12:20:53 PM |
