RESTful design (Representational State Transfer, REST) is an architectural style for designing network applications. It follows principles that make network applications simpler, more scalable, and easier to maintain.
Read More »Note Of RESTful (With Python FastAPI + CURL Example)
When assigning identifiers to our data, if we want each data to have a unique identifier rather than a simple sequential number, UUID is the most common method we used.
So, what is UUID?
Read More »Note Of Universally Unique Identifier (UUID)
Prompt injection attacks are a burgeoning security concern, primarily targeting large language models (LLMs) or other AI-related domains.
Read More »Defense Note Against Prompt Injection Attack
SFTTrainer is a LLM fine-tuning tool provided by HuggingFace team, that can easily adjust many hyper-parameters and config at the fine-tuning task. In the process, response_template is the special string template we need to pass into the tool, any response right by it will be computed the loss.
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