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Build GPT-4 chat applications with token-aware history, streamed responses, Streamlit and Gradio interfaces, and a FastAPI web app.
GPT-4 generates increasingly complex JavaScript canvas animations and converts one into Python Pygame code.
Evaluate LLM and agent performance with LangChain, custom prompts, and Hugging Face datasets.
Build five LangChain document summarization and question-answering apps with ChromaDB, GPT-3, embeddings, custom prompts, and four chain types.
Build LangChain workflows that combine multiple GPT-3 calls, support multiple inputs and outputs, and stream responses.
Convert website text into OpenAI embeddings for similarity-search-based GPT-3 question answering.
Build a document-questioning chatbot with LangChain, GPT-3, OpenAI embeddings, Wikipedia search, and a Streamlit file-upload interface.
Build a Streamlit web app that brings Wikipedia content to life with GPT-3, GPT Index, and OpenAI embeddings.
An introduction to LangChain workflows using prompt templates, user inputs, few-shot examples, and example selection.
Build a ChatGPT-like interface by connecting an HTML, CSS, and JavaScript frontend to a GPT-3 API through FastAPI.
Solving a Kaggle challenge with XGBoost code generated and refined by GPT-3, ChatGPT, and GitHub Copilot.
A deep dive into OpenAI Playground controls for GPT-3, including model settings, prompt modes, token counts, and saving or viewing code.
Generate a custom dataset and fine-tune GPT-3 using a web app, CLI, OpenAI Playground, and API.
Explore Python’s built-in string methods, including find, index, replace, and split.
A beginner setup guide for building AI-powered apps with Python, VS Code, terminal commands, pip, and Conda environments.
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