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Yi-34B, Llama 2, and common practices in LLM training: a fact check of the New York Times - Vimarsana News

Yi-34B, Llama 2, and common practices in LLM training: a fact check of the New York Times

Setting the record straight regarding Yi-34B and Llama 2.

GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. - Vimarsana News

GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. - GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Source: github.com
15 times Faster than Llama 2: Introducing DeciLM - NAS-Generated LLM with Variable GQA - Vimarsana News

15 times Faster than Llama 2: Introducing DeciLM - NAS-Generated LLM with Variable GQA

Explore DeciLM 6B, a high-efficiency large language model that outpaces Llama 2 7B by 15 times. The model was generated using Deci's proprietary Neural Architecture Search-powered technology, AutoNAC. Delve into this powerful model's architecture, efficiency and performance.

Source: deci.ai