aigc
by phodal
《构筑大语言模型应用：应用开发与架构设计》一本关于 LLM 在真实世界应用的开源电子书，介绍了大语言模型的基础知识和应用，以及如何构建自己的模型。其中包括Prompt的编写、开发和管理，探索最好的大语言模型能带来什么，以及LLM应用开发的模式和架构设计。
AI summary
Language Model Dev
Developing and applying large language models to improve software development workflows and processes
- stars
- 1.4K
- forks
- 171
- watching
- 25
Similar projects
Found by comparing what the projects do, not just their names.
LLM
Develops large language models for text understanding and generation tasks.
Language model toolkit
Provides pre-trained language models and tools for fine-tuning and evaluation
Multimodal LLM
An implementation of a multimodal language model with capabilities for comprehension and generation
LLM
A multilingual large language model developed by XVERSE Technology Inc.
Language model toolkit
A guide to using pre-trained large language models in source code analysis and generation
Dialogue Model
A large language and speech model for multilingual conversational dialogue
Mental Health Models
Provides a suite of AI-powered models for mental health support and evaluation
Trust Assessment Toolkit
A toolkit for assessing trustworthiness in large language models
Crop models
Developing large language models for agricultural applications to improve crop yields and support rural development.
Language Model
An 8B and 13B language model based on the Llama architecture with multilingual capabilities.
LLM exploration
Exploring various LLMs and their applications in natural language processing and related areas
Llama model
A deep learning project providing an open-source implementation of the LLaMA2 model with Chinese and English text data
Multimodal LLM
A multi-modal large language model that integrates natural language and visual capabilities with fine-tuning for various tasks
Medical LLM
Develops and deploys a large language model for Chinese traditional medicine applications
ML Systems Guide
A curated collection of research papers, articles, and resources on machine learning systems, including design principles, infrastructure, and best practices.
