8 Lessons, Get Started Building with Generative AI and Gemini API
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Updated
Jun 2, 2024 - Jupyter Notebook
8 Lessons, Get Started Building with Generative AI and Gemini API
Generative AI Scripting for VSCode
💬 Epic prompts to turbo-charge your LLM chatbots.
Test your prompts, models, and RAGs. Catch regressions and improve prompt quality. LLM evals for OpenAI, Azure, Anthropic, Gemini, Mistral, Llama, Bedrock, Ollama, and other local & private models with CI/CD integration.
Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Business Operation Automation. Join our Community: https://discord.gg/DbjBMJTSWD
🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
An intuitive approach to building with LLMs
Get templates for applying LLMs in Medical Education! 🎓 Let's do the steps instructors would require to... 🥵
Structured Text Generation
🤖 Build AI applications with confidence ✅ DSPy Visualizer ✅ Understand how your users are using your LLM-app ✅ Get a full picture of the quality performance of your LLM-app ✅ Collaborate with your stakeholders in ONE platform ✅ Iterate towards the most valuable & reliable LLM-app.
a collection of small machine learning projects
🚀Large language model automation and Autonomous Language Agents development framework. Build your LLM Agent Application in a pythonic way!
notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.
LLM prompt language based on Jinja
A python package for developing AI applications with local LLMs.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
A code kata to practice prompt engineering while doing TDD
An AI-Powered Review Platform That Gathers Information Through Conversations
The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
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