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UnB
- BrasΓlia, DF
- https://www.linkedin.com/in/matheus-stauffer/
Stars
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
π€ PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Creating beautiful plots of data maps
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
Entropy Based Sampling and Parallel CoT Decoding
Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning
ReFT: Representation Finetuning for Language Models
A HuggingFace compatible Small Language Model trainer.
WebApps in pure Python. No JavaScript, HTML and CSS needed
The hub for EleutherAI's work on interpretability and learning dynamics
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A reactive notebook for Python β run reproducible experiments, execute as a script, deploy as an app, and version with git.
A curated awesome list of lists of interview questions. Feel free to contribute! π
π― Curated coding interview preparation materials for busy software engineers
All Algorithms implemented in Python
A complete computer science study plan to become a software engineer.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A repository of links with advice related to grad school applications, research, phd etc
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
[SIGGRAPH Asia 2023] An interactive story visualization tool that support multiple characters
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)