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Modeling, training, eval, and inference code for OLMo
Data and tools for generating and inspecting OLMo pre-training data.
A framework for few-shot evaluation of language models.
The hub for EleutherAI's work on interpretability and learning dynamics
Generate Linked Document Pretraining data for LLMs
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)
Paper List for Contrastive Learning for Natural Language Processing
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)
A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.
A system for assigning and grading notebooks
A complete computer science study plan to become a software engineer.