wdndev/llm_interview_note
主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题
复现大模型相关算法及一些学习记录
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主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题
仅需Python基础,从0构建大语言模型;从0逐步构建GLM4\Llama3\RWKV6, 深入理解大模型原理
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.
雅意大模型:为客户打造安全可靠的专属大模型,基于大规模中英文多领域指令数据训练的 LlaMA 2 & BLOOM 系列模型,由中科闻歌算法团队研发。(Repo for YaYi Chinese LLMs based on LlaMA2 & BLOOM)
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"