llm-workflow-engine
LLM Client
A command-line tool and workflow manager for interacting with large language models like ChatGPT/GPT4.
Power CLI and Workflow manager for LLMs (core package)
4k stars
44 watching
472 forks
Language: Python
last commit: 4 months ago
Linked from 3 awesome lists
chatbotchatgptgpt-3gpt3gpt4llmopenaipython
Related projects:
Repository | Description | Stars |
---|---|---|
| A plugin for Neovim that integrates with the ChatGPT API to generate natural language responses and assist with coding tasks. | 3,825 |
| Provides a unified API to interact with 100+ Large Language Models (LLMs) offered by various providers | 15,070 |
| An integrated development platform for large language models (LLMs) that provides observability, analytics, and management tools. | 7,123 |
| A curated list of resources to help developers navigate the landscape of large language models and their applications in NLP | 9,551 |
| An open-source Python client for running Large Language Models (LLMs) locally on any device. | 71,176 |
| Developing and pretraining a GPT-like Large Language Model from scratch | 35,405 |
| Large pre-trained language models trained to follow complex instructions using an evolutionary instruction framework | 9,295 |
| A semantic cache designed to reduce the cost and improve the speed of LLM API calls by storing responses. | 7,293 |
| A framework for building enterprise LLM-based applications using small, specialized models | 8,303 |
| A comprehensive toolset for building Large Language Model (LLM) based applications | 1,733 |
| A desktop application built with Rust and Tauri, providing a chat interface using the GPT-3 AI model | 53,237 |
| An all-in-one Desktop & Docker AI application with built-in RAG and support for multiple LLMs and vector databases. | 28,746 |
| A demo project showcasing integration with the OpenAI GPT-3.5 Turbo API for generating chatbot-like responses. | 8,014 |
| A comprehensive course and resource package on building and deploying Large Language Models (LLMs) | 40,053 |
| Enables users to interact with large language models within Neovim for tasks like code optimization and translation. | 65 |