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Section: Large Language Models (LLMs)
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Appears in 11 awesome lists
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Section: Large Language Models (LLMs)
Section: Learning resources · Guide and resources for prompt engineering.
Section: Prompts · 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Section: Resources · Guides, papers, and resources for prompt engineering with LLMs.
Section: Prompt Engineering · Guide and resources for prompt engineering
Section: Guides · Guides, papers, lecture, notebooks and resources for prompt engineering.
Section: Prompt Engineering · guides, papers, lecture, notebooks and resources for prompt engineering
Section: Prompt对话指令
Section: Prompt Engineering · 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Section: Prompts · Guides, papers, lecture, and resources for prompt engineering.
Section: Learning resources · Guide and resources for prompt engineering.
Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs
Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD
Open-source AI observability & evaluation platform (Arize) — OpenTelemetry-native tracing for agents, LLM-as-judge evals, versioned datasets & experiments for prompt regression testing, prompt management with version control and replay, plus an MCP endpoint so Claude Code/Cursor can query traces…
The most widely adopted self-hostable LLM observability platform: traces every agent step, manages prompt versions, and runs evals in one tool. Preferred over cloud-only alternatives when data residency or cost control is a constraint.
Private AI platform for building intelligent agents and assistants with enterprise search. Features Agent Builder, deep research tools, multi-format document analysis, and multi-model support. MIT licensed.
is a large language model developed by Anthropic that excels at complex reasoning, code generation, and analysis tasks. Built with Constitutional AI principles, Claude provides reliable assistance for programming, writing, research, and problem-solving while maintaining safety and accuracy.
DemoGPT enables you to create quick demos by just using prompt. It applies ToT approach on Langchain documentation tree.
OpenAI's cookbook includes examples of prompt engineering.