The alignment of language models is a critical factor in creating more effective, user-centric language technologies. Traditionally, aligning these models in line with human preferences requires extensive language-specific data which is frequently unavailable, especially for less common languages. This lack of data poses a significant challenge in the development of practical and fair multilingual models.
Teams…
Retrieval-Augmented Generation (RAG) is becoming a crucial technology in large language models (LLMs), aiming to boost accuracy by integrating external data with pre-existing model knowledge. This technology helps to overcome the limitations of LLMs which are limited to their training data, and thus might fail when faced with recent or specialized information not included in…
Hugging Face Researchers have unveiled Idefics2, an impressive 8-billion parameter vision-language model. It is designed to enhance the blending of text and image processing within a single framework. Unlike previous models which required the resizing of images to fixed dimensions, the Idefics2 model uses the Native Vision Transformers (NaViT) strategy to process images at their…
The increasing demand for AI-generated content following the development of innovative generative Artificial Intelligence models like ChatGPT, GEMINI, and BARD has amplified the need for high-quality text-to-audio, text-to-image, and text-to-video models. Recently, supervised fine-tuning-based direct preference optimisation (DPO) has become a prevalent alternative to traditional reinforcement learning methods in lining up Large Language Model (LLM)…
Tango 2: The Emerging Frontier in Text-to-Audio Synthesis and Its Outstanding Performance Indicators
As demand for AI-generated content continues to increase, particularly in the multimedia realm, the need for high-quality, quick production models for text-to-audio, text-to-image, and text-to-video conversions has never been greater. An emphasis is placed on enhancing the realistic nature of these models in regard to their input prompts.
A novel approach to adjust Large Language Model…
In our increasingly digital world, processing and understanding online content accurately and efficiently is becoming more crucial, especially for language processing systems. However, data extraction from web pages tends to produce cluttered and complicated data, posing a challenge to developers and users of language learning models looking for streamlined content for improved performance.
Previously, tools have…
In the highly competitive field of AI development, company Zyphra has announced a significant breakthrough with a new model called Zamba-7B. This compact model contains 7 billion parameters, but it competes favorably with larger models that are more resource-intensive. Key to the success of the Zamba-7B is a novel architectural design that improves both performance…