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How to Finetune GPT-Like Large Language Models on a Custom Dataset |
2023-05-25 |
| 339 |
LoRA from scratch: implementation for LLM finetuning |
2024-01-22 |
| 258 |
Takeaways from hundreds of LLM finetuning experiments with LoRA |
2023-10-13 |
| 118 |
Understanding, using, and finetuning Gemma |
2024-02-24 |
| 104 |
Finetuning LLMs on a Single GPU Using Gradient Accumulation |
2023-03-30 |
| 11 |
PyTorch Core Technical Lead Joins Lightning AI to Build PyTorch Team |
2022-09-08 |
| 8 |
Show HN: How to Build a Stable Diffusion text-to-image generator (OSS) |
2022-10-12 |
| 7 |
How YOU Can Help Make AI Accessible to Everyone |
2023-04-27 |
| 4 |
Launch a Personal Diffusion 2.0 Server on the Cloud |
2022-11-26 |
| 3 |
Show HN: Deep Learning Fundamentals – A new, concise resource on learning DL&AI |
2022-12-06 |
| 3 |
Tutorial: How to Build a Machine Learning Training and Deployment Pipeline |
2022-12-14 |
| 2 |
StatQuest: Word Embedding with PyTorch and Lightning |
2023-12-14 |
| 2 |
Scaling Large (Language) Models with PyTorch Lightning – Lightning AI |
2023-10-05 |
| 2 |
NeurIPS 2023 LLM Efficiency Challenge Starter Guide |
2023-08-11 |
| 2 |
The Battle of Language Models: Lit-LLaMA vs. GPT3.5 vs. Bloom Vs |
2023-05-02 |
| 2 |
OS for AI |
2022-06-16 |
| 1 |
Deploy a custom Llama 3 API in 15 lines of code |
2024-08-24 |
| 1 |
Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch |
2023-07-03 |
| 1 |
Accelerating Large Language Models with Mixed-Precision Techniques |
2023-05-11 |
| 1 |
Parameter-Efficient LLM Finetuning with Low-Rank Adaptation (LoRA) |
2023-04-26 |