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Learn hands-on web scraping techniques using BeautifulSoup, including script tag extraction with regex and simple class selector methods for efficient data extraction and automation.
Learn to create interactive AI chat applications using Streamlit and LangChain, combining powerful language models with specialized tools for enhanced functionality and user experience.
Optimize LLM development with LangChain's caching mechanism to reduce API calls, save costs, and improve application speed.
Tutorial on Guidance, an open-source project for controlling language models effectively. Learn to create better interfaces between prompts and outputs, applicable to various LLMs including GPT and open-source models.
Explore AI-powered app development using SMOL Developer, a tool that generates web applications from text prompts, showcasing the potential of GPT in streamlining software creation.
Learn to create a unique sci-fi game world using Cohere's language model and Stability AI's text-to-image models. Explore generative AI for world-building and game development.
Explore GitHub Copilot Chat, an AI-powered coding assistant that integrates with Visual Studio and VS Code to enhance productivity and streamline development workflows.
Create a queryable daily journal system using OpenAI, markdown, and LlamaIndex for efficient and cost-effective note-taking and information retrieval.
Learn to create an AI language tutor using Pinecone, LlamaIndex, GPT-3, and BeautifulSoup. Train GPT-3.5 on Nietzsche's writing for advanced language translation and tutoring capabilities.
Explore OpenAI's Python library for text completion, Q&A, image generation, and speech-to-text. Hands-on tutorial covering GPT-3, DALL-E 2, and Whisper functionalities.
Implement an offline, locally-hosted open-source LLM using Meta's OPT model and LlamaIndex. Learn about instruction-tuned models and explore alternatives to GPT-3 for various NLP tasks.
Explore embeddings in LLMs, their role in AI-powered tools, and practical applications using LlamaIndex and Chroma db. Gain insights into representing data for advanced language processing.
Explore LangChain with GPT-2 and HuggingFace for AI development without OpenAI costs. Learn to integrate cutting-edge LLMs, text embeddings, and vector stores for innovative applications.
Learn to query databases and CSV files using natural language with LangChain and OpenAI, converting English to SQL or pandas commands for efficient data retrieval and analysis.
Learn to build an AI-powered Q&A system using LangChain and OpenAI. Explore text embeddings, vector stores, and agent chaining to create a custom question-answering tool with your own data.
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