Nvidia Publishes A Competitive Llama3-70B QA / Retrieval-Augmented Generation (RAG) Fine-Tune Model Llama3-ChatQA-1.5-8B and Llama3-ChatQA-1.5-70B are the two versions of this state-of-the-art model that come with 8 billion and 70 billion parameters, respectively. These models, which were first trained with Megatron-LM, have been converted to the Hugging Face format for accessibility and convenience. Building on the success of ChatQA, a family of conversational QA models with performance levels comparable to GPT-4, Llama3-ChatQA-1.5 was developed. ChatQA greatly improves zero-shot conversational QA outcomes with Large Language Models (LLMs) by introducing a unique two-stage instruction tweaking strategy. Full read: https://lnkd.in/guPxrkjX Llama3-ChatQA-1.5-8B: https://lnkd.in/gzfRhXPr Llama3-ChatQA-1.5-70B : https://lnkd.in/gh42ji9y #artificialintelligence #rag #llms #ai NVIDIA NVIDIA AI
Fantastic advancement. Pushing boundaries with innovative applications. Collaborative efforts drive progress rapidly. Asif Razzaq
Impressive innovation combining LLMs and retrieval. Enhancing conversational QA is crucial. What are your thoughts on the potential applications? Asif Razzaq
Fantastic advancement. Pushing boundaries with innovative applications. Collaborative efforts drive progress rapidly. Asif Razzaq