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Evaluate LLM and agent performance using Langchain, custom prompts, and Huggingface datasets. Learn to create environments, review code, and assess OpenAI GPT-3 capabilities.
Build 5 Langchain apps for document summarization and Q&A using Chromadb, OpenAI embeddings, and GPT-3. Learn token counting, custom prompts, and various chain types for efficient text processing and analysis.
Learn to create Langchain chains using OpenAI GPT-3, including multi-input/output chains and streaming responses. Explore simple LLM chains, multi-LLM chains, and advanced techniques for efficient language model integration.
Learn to create a QA chatbot using OpenAI embeddings and GPT-3 API. Convert website content for similarity search, set up the environment, and implement the system step-by-step.
Build a ChatGPT-like chatbot using Langchain, GPT-3, and OpenAI embeddings. Includes Streamlit UI, file uploader, and Wikipedia API integration for answering questions based on uploaded documents and relevant context.
Build an interactive "Talk to Wikipedia" app using Streamlit, GPT-3, and OpenAI embeddings. Learn to integrate APIs, debug in VS Code, and deploy your creation online.
Explore OpenAI's ADA vectorized embeddings API for advanced NLP, search, and machine learning applications with practical code examples and visualizations.
Explore LangChain's powerful prompt tools for GPT-3, including templates, input variables, and few-shot examples. Learn to enhance AI interactions and create custom workflows.
Build a ChatGPT-like UI using HTML, CSS, JavaScript, and FastAPI. Integrate OpenAI's GPT API for responses directly in VS Code, creating an interactive chat interface.
Solve a Kaggle challenge using XGBoost with AI assistance from GPT-3, ChatGPT, and GitHub Copilot. Learn data preprocessing, code review, and explore alternative algorithms.
Comprehensive guide to OpenAI Playground features, including models, parameters, and modes. Learn to optimize AI text generation and explore advanced functionalities.
Learn to fine-tune GPT-3 using a custom dataset, from generating training data to implementing the fine-tuned model in a web application, with step-by-step guidance and practical demonstrations.
Explore Python string manipulation methods using GPT-3 and OpenAI Playground, covering find, index, replace, and split functions for efficient coding.
Learn to create interactive human behavior simulations using Python, LangChain, and OpenAI GPT. Master vector storage, explore GPT capabilities, and transform your projects with cutting-edge AI technology.
Explore GPT-4's ability to generate and evaluate system messages, enhancing AI-assisted coding and prompt engineering for more effective language model interactions.
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