An article discussing the new open-source project called LlamaFS, a self-organizing file system that utilizes Llama-3, a large language model, to automate and improve the organization of digital files by understanding their context and content.
This article explores the transformer architecture behind Llama 3, a large language model released by Meta, and discusses how to leverage its power for enterprise and grassroots level use. It also delves into the technical details of LlaMA 3 and its prospects for the GenAI ecosystem.
This article discusses how to test small language models using 3.8B Phi-3 and 8B Llama-3 models on a PC and Raspberry Pi with LlamaCpp and ONNX. Written by Dmitrii Eliuseev.
This model was built using a new Smaug recipe for improving performance on real world multi-turn conversations applied to meta-llama/Meta-Llama-3-70B-Instruct.
The model outperforms Llama-3-70B-Instruct substantially, and is on par with GPT-4-Turbo, on MT-Bench (see below).
The model outperforms Llama-3-70B-Instruct substantially, and is on par with GPT-4-Turbo, on MT-Bench (see below).
