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Turns LangChain documentation into a searchable code dataset that GPT-4 can use to generate complete applications from plain-language descriptions.
A GPT agent generates candidate prompts, then ranks them in an Elo-style tournament to select a prompt for a task.
Tests Auto Coder V.4 in autonomous and user-controlled modes, then uses it to generate a Flappy Bird game and a GPT chatbot website.
Compare LangChain.js's built-in agent types, from MRKL and conversational agents to structured-tool and plan-and-execute agents.
A step-by-step JavaScript implementation of LangChain, including agents, memory, streaming responses, and combined components.
Build interactive human-behavior simulations with generative agents, LangChain, vector storage, and GPT, including automatic event generation.
See GPT-4 generate and review three FastAPI/JavaScript chat interfaces, including conversational memory and token-limit handling.
Learn to use LangChain's async support to run parallel OpenAI calls across LLM, chain, and agent workflows.
A demonstration of prompting GPT-3 to solve verbal riddles through self-reflective analysis.
Set up Clojure with Java, VS Code, and GitPod, then run it locally through the REPL.
Learn JavaScript objects through creating, accessing, modifying, and iterating over object properties.
Build a web app connecting an HTML/JavaScript frontend and FastAPI/Python backend to the OpenAI GPT-3 API.
Learn to create, access, iterate over, add to, and remove elements from JavaScript arrays, with an introduction to common array methods.
A beginner-friendly JavaScript tutorial covering variables, data types, operators, conditional statements, and loops.
Learn NumPy in Python by creating, transforming, indexing, and analyzing arrays, then applying broadcasting, masking, and linear algebra.
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