AK@_akhaliq

2 years ago

Nvidia presents ChatQA 2 Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities In this work, we introduce ChatQA 2, a Llama3-based model designed to bridge the gap between open-access LLMs and leading proprietary models (e.g., GPT-4-Turbo) in long- https://t.co/JRksZycSBe

elvis@omarsar0

2 years ago

NVIDIA proposes ChatQA 2, a Llama3-based model for enhanced long-context understanding and RAG capabilities. The idea is to bridge the gap between open-access and leading proprietary models like GPT-4-Turbo. Presents a training recipe to effectively extend the context window… https://t.co/5WYaYgtq4o

Wei Ping@_weiping

2 years ago

Introducing ChatQA 2, a Llama3-based model with a 128K context window, designed to close the gap between open LLMs and leading proprietary models like GPT-4-Turbo in both long-context and RAG capabilities. The long-context capability of LLMs is sometimes viewed as a rival to… https://t.co/N8reJv9E7u