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Explore an automated prompt engineering system using GPT models, Elo ratings, and tournaments to generate optimal prompts for specific tasks.
Explore the latest Auto Coder V.4, featuring autonomous and controlled modes, error mitigation, and practical applications like generating a Flappy Bird game and GPT chatbot web app.
Step-by-step guide to implementing Langchain in JavaScript, covering API calls, prompt templates, agents, memory, streaming, and component integration for advanced AI applications.
Explore built-in Langchain agent types in JavaScript: MRKL, Conversational, Structured Tool, and Plan and Execute. Learn implementation and usage for AI-powered applications.
Automatiza la creación de aplicaciones complejas con múltiples archivos utilizando GPT. Genera código para animaciones, juegos y más a partir de descripciones simples.
Build and deploy a GPT chat web app with conversation history using OpenAI API, FastAPI, HTML, CSS, and JavaScript. Learn full-stack development and deployment on Railway, including theme changes and UI enhancements.
Explore an app that generates novel ideas by extracting essential information from arXiv papers, Wikipedia articles, or custom knowledge bases using GPT-4 technology.
Comprehensive tutorial on GPT function calling, covering streaming responses, basic and advanced implementations, and multi-function agent-like setups with practical Python examples.
Learn advanced techniques for fine-tuning GPT-3.5 Turbo, including dataset creation, model evaluation, and using the OpenAI API for complex tasks like summarizing Wikipedia articles.
Learn to automatically select vector indexes and prompts for document QA using Langchain router chains, with code demos for Streamlit and terminal applications.
Step-by-step guide to using Llama Index for document storage, indexing, and querying with customizable LLM settings and prompt helpers. Learn to create, manage, and interact with vector store indexes efficiently.
Learn to crawl documentation, extract code blocks, create datasets, and build Llama Index applications using GPT-4 and vector databases. Explore similarity search and generate complete applications from simple descriptions.
Explore a prototype GPT-based swarm intelligence system, demonstrating ensemble approaches and inspiring advanced swarm development. Includes code reviews, parallelism, and comparisons to true swarm behavior.
Learn to build AI-powered web apps using FastAPI, JavaScript, and OpenAI's GPT models. Covers key concepts like CORS, static files, and HTTP methods for seamless integration.
Build a full-stack ChatGPT webapp with message history using FastAPI, MongoDB, htmx, and Tailwind CSS. Learn database creation, connection, and deployment on Railway with minimal JavaScript.
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