Ethics and Bias Detection: Ensure ethical considerations and bias mitigation are integral parts of the fine-tuning process.道德和偏见检测:确保道德考虑和偏见缓解是微调过程的组成部分。 Do not forget traditional non-LLM methods. Combining traditional tools with LLMs can achieve a synergistic effect where...
[llm_finetune github](GitHub - simonlisiyu/llm_finetune: Web one-click mode full process platform, including train data upload, fine-tuning, model merge, model deploy, gpu monitor etc., no need python or shell development) 本项目受益于 [LLaMA-Efficient-Tuning](https://github.com/hiyouga/...
It offers a high-level API for fine-tuning models on various tasks. It also provides a range of training techniques, such as distributed training, mixed-precision training, and gradient accumulation, to help optimize the fine-tuning process. HuggingFace trl TRL allows users to implement a reinfor...
Publication Large language models (LLMs) use extensive datasets and advanced algorithms to generate nuanced, context-sensitive content. However, their development requires substantial computational resources. To address this, we developed LoftQ, an innovative technique that streamlines the fine-tunin...
Using PEFT techniques like low-rank adaptations (LoRA) allows you to create "mini-models" or adapters for various domains and tasks. LoRA also reduces the total trainable parameters, thereby decreasing the memory and compute complexity of the fine-tuning process. Deploying these adapters...
LLMs are generally trained on public data with no specific focus. Fine-tuning is a crucial step that adapts a pre-trained LLM model to a specific task, enhancing the LLM responses significantly. Although text generation is a well-known application of an LLM, the neural network embeddings obtai...
Today, explore the essence of pre-trained language models and further delve into the fine-tuning process. So, let’s navigate through practical steps for fine-tuning a model like GPT-2 using Hugging Face. Fine-tuning vs. RAG RAGcombines the strengths of retrieval-based models and generative ...
简介: LLM-03 大模型 15分钟 FineTuning 微调 GPT2 模型 finetuning GPT微调实战 仅需6GB显存 单卡微调 数据 10MB数据集微调 参考资料 GPT2 FineTuning OpenAI-GPT2 Kaggle short-jokes 数据集 Why will you need fine-tuning an LLM? LLMs are generally trained on public data with no specific focus. ...
A helper library for fine-tuning Amazon Bedrock models. This toolkit assists in generating Q&A datasets from documents and streamlines the LLM fine-tuning process. amazon-bedrockllm-finetuning UpdatedNov 7, 2024 Python LLM Finetuning with Axolotl with decent defaults + Optional TrueFoundry Experiment...
Why Fine-Tuning Is a Game Changer What’s fine-tuning exactly? Fine-tuning is a technique in machine learning and AI used to adapt a pre-trained model to perform better on a specific task and/or domain. Use cases that require consistent and highly specialized outputs are perfect for fine-...