Spectual / stanford-cs336-a1Links
Assignment 1 for Stanford CS336 - Language Modeling From Scratch
☆78Updated 5 months ago
Alternatives and similar repositories for stanford-cs336-a1
Users that are interested in stanford-cs336-a1 are comparing it to the libraries listed below
Sorting:
- My implementation of Stanford CS336 assignments.☆210Updated 5 months ago
- 本仓库是关于大模型面试中常见面试试题和面试经验的整理。这里收集了各类与大模型相关的面试题目,并提供详细的解答和分析。本仓库由上海交大交影社区维护☆112Updated last year
- ☆90Updated 5 months ago
- modern AI for beginners☆184Updated 3 months ago
- all the notes, ppts and homework for CS224n☆131Updated last year
- ☆79Updated 2 months ago
- 面向新同学进组的学习指南☆102Updated 3 weeks ago
- 《EasyOffer》(<大模型面经合集>)是针对LLM宝宝们量身打造的大模型暑期实习Offer指南,主要记录大模型暑期实习和秋招准备的一些常见大厂手撕代码、大厂面经经验、常见大厂思考题等;小白一个,正在学习ing......有问题各位大佬随时指正,希望大家都能拿到心仪Of…☆602Updated 9 months ago
- Analyze top AI conference papers to discover research hotspots and trends using topic modeling.☆116Updated 2 months ago
- LLM大模型(重点)以及搜广推等 AI 算法中手写的面试题,(非 LeetCode),比如 Self-Attention, AUC等,一般比 LeetCode 更考察一个人的综合能力,又更贴近业务和基础知识一点☆458Updated 11 months ago
- A comprehensive guide for beginners in the field of data management and artificial intelligence.☆513Updated 8 months ago
- My Solution and Notes for the Stanford CS336: LLM from scratch☆73Updated this week
- The newest solution for CS224n: Stanford NLP.(作业代码实现)☆72Updated 2 years ago
- ☆467Updated 4 months ago
- 🏆🏆 「大模型」All in one & All from scratch. 🌍🌍 收集、清洗数据,训练Tokenizer,预训练、SFT、GRPO!☆49Updated 4 months ago
- ☆350Updated 7 months ago
- 🔥 How to efficiently and effectively compress the CoTs or directly generate concise CoTs during inference while maintaining the reasonin…☆64Updated 7 months ago
- 带中文导读的PhD申请攻略收集☆82Updated 2 years ago
- 李宏毅 (HUNG-YI LEE)机器学习作业思路代码分享☆236Updated last year
- The minimal implementation of various popular AI models☆42Updated 2 months ago
- Paper list for Efficient Reasoning.☆776Updated this week
- ☆101Updated 2 months ago
- llm相关内容,包括:基础知识、八股文、面经、经典论文☆270Updated last year
- pytorch distribute tutorials☆161Updated 6 months ago
- ☆402Updated 10 months ago
- awesome papers in LLM interpretability☆601Updated 4 months ago
- Using LLM to evaluate MMLU dataset.☆41Updated last year
- ☆82Updated last year
- llm & rl☆263Updated 2 months ago
- ☆44Updated last month