litgpt and jam-gpt
The high-performance, production-ready framework for LLMs (Lightning-AI/litgpt) and the experimental reimplementation for research and development (loke-x/jam-gpt) are ecosystem siblings, representing distinct phases or approaches within the LLM implementation lifecycle.
About litgpt
Lightning-AI/litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
This project helps machine learning engineers and researchers build custom large language models. You can select from over 20 pre-built LLMs, feed in your specific datasets for training or fine-tuning, and then deploy these models for various applications. It's designed for users who need fine-grained control and high performance for their custom AI language tasks.
About jam-gpt
loke-x/jam-gpt
An Experimental Reimplementation of LLM models for research and development process
This project helps AI researchers and developers explore and understand the inner workings of Large Language Models (LLMs). You can input your own datasets to train and fine-tune experimental Generative Pretrained Transformers (GPT) models, gaining insights into their architecture and design. It's designed for individuals building or experimenting with LLM models for research purposes.
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