rasbt / reasoning-from-scratchLinks
Implement a reasoning LLM in PyTorch from scratch, step by step
☆2,372Updated this week
Alternatives and similar repositories for reasoning-from-scratch
Users that are interested in reasoning-from-scratch are comparing it to the libraries listed below
Sorting:
- ☆806Updated 2 months ago
- 100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.☆3,937Updated this week
- ☆2,058Updated last month
- ☆530Updated last month
- ☆639Updated 2 months ago
- Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.☆1,888Updated 3 weeks ago
- Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patt…☆2,596Updated this week
- 100+ LLM interview questions with answers.☆636Updated 2 weeks ago
- An agentic Machine Learning Engineer☆1,168Updated last month
- When Philosophy meets AI☆1,425Updated 2 months ago
- Codes/Notebooks for AI Projects☆1,900Updated this week
- A comprehensive book on neural networks and large language models in NLP☆533Updated last month
- ☆2,250Updated last month
- Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs☆2,128Updated 3 months ago
- On the Theoretical Limitations of Embedding-Based Retrieval☆618Updated 3 months ago
- An MCP Multimodal AI Agent with eyes and ears!☆520Updated this week
- Awesome LLM Books: Curated list of books on Large Language Models☆1,557Updated 2 months ago
- A curated list of 100+ libraries and frameworks for AI engineers building with LLMs☆2,353Updated last month
- Post-training with Tinker☆2,699Updated this week
- This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov☆2,069Updated 3 weeks ago
- 100+ RAG interview questions with answers.☆299Updated 2 weeks ago
- Building a GPT-like LLM from scratch with PyTorch.☆327Updated last year
- ☆721Updated 2 months ago
- Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.☆2,753Updated last month
- Minimal and annotated implementations of key ideas from modern deep learning research.☆1,217Updated 3 months ago
- Salesforce Enterprise Deep Research☆1,027Updated last month
- An interface library for RL post training with environments.☆973Updated this week
- ☆654Updated 9 months ago
- All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebr…☆756Updated 3 months ago
- A category wise collection of 200+ LLM survey papers.☆263Updated 9 months ago