RAG-based LLM is a well-known architecture in current usage of Large Language Models (LLM). It involves “retrieval” to provide the model with prior knowledge that it lacks during training, enabling the model to answer questions in the context of specific information.
Read More »[Paper Reading] Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
The wave of large models has been unstoppable since the release of ChatGPT in November 2022. Up to now, the scale of open-source Large Language Models (LLMs) continues to increase, such as LLaMA-2-70B and Falcon-180B, to name a few.
Read More »[Paper Reading] QLoRA: Efficient Finetuning of Quantized LLMs
Paper link: https://arxiv.org/abs/2212.13345
The author of this research work is the renowned figure in the field of deep learning, Geoffrey Hinton, who was originally a researcher at Google Brain when he initially wrote this paper (he left in 2023).
Read More »[Paper Reading] The Forward-Forward Algorithm: Some Preliminary Investigation
Sending a Pull Request (PR) on GitHub to an open-source project is a wonderful yet significant endeavor.
Read More »[GitHub] How To Create A Pull Request (PR)
Yesterday, I developed a model merging program. This time I have no enough gpu memory to merge the models in only one time, so I tried to merge layer by layer. I found the memory of GPU is easily to release but CPU didn’t.
Read More »[PyTorch] Release GPU / CPU Memory After Delete Model
/bin/bash: warning: shell level (1000) too high, resetting to 1
Today I was reading the training source code of DreamBooth, and I found the tempfile built-in module; I happened to reconstruct a script for model’s layer merging, suddenly thought that the module would make the code more elegant, so I made this note.
DPO (Direct Preference Optimization) is a fine-tuning method that want to replace RLHF (Reinforcement Learning from Human Feedback).
Read More »Direct Preference Optimization (DPO) Training Note
HuggingFace has published an article stating that the current LLM is best trained according to the ChatML format. In normal case, it will be generated according to three different roles of system, user and assistant. The format is as follows:
Read More »[Solved] Mistral Cannot Generate eos_token `<|im_end|>` After SFTTrainer Fine-tuning