ChatGPT 中文指南🔥,ChatGPT 中文调教指南,指令指南,应用开发指南,精选资源清单,更好的使用 chatGPT 让你的生产力 up up up! 🚀
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Updated
Apr 25, 2024 - Python
ChatGPT 中文指南🔥,ChatGPT 中文调教指南,指令指南,应用开发指南,精选资源清单,更好的使用 chatGPT 让你的生产力 up up up! 🚀
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Your Automatic Prompt Engineering Assistant for GenAI Applications
LangGPT: Empowering everyone to become a prompt expert!🚀 Structured Prompt,Language of GPT, 结构化提示词,结构化Prompt
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
Structured Text Generation
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
A unified evaluation framework for large language models
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
A framework for prompt tuning using Intent-based Prompt Calibration
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
The Security Toolkit for LLM Interactions
Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Business Operation Automation. Join our Community: https://discord.gg/DbjBMJTSWD
A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering.
🦙 Integrating LLMs into structured NLP pipelines
Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥
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