How to Build a Q&A AI in Python - Open-Domain Question-Answering
Learn to build an open-domain question-answering AI in Python, covering retriever training, fine-tuning, evaluation, vector database setup, and querying techniques for natural language interfaces.
HNSW for Vector Search Explained and Implemented with Faiss - Python
Demystifying HNSW algorithm for vector similarity search, explaining its foundations, implementation with Faiss, and optimization techniques for top-performing indexes in approximate nearest neighbor searches.
Metadata Filtering for Vector Search - Latest Filter Tech
Explore advanced metadata filtering techniques for vector search, including pre-filtering, post-filtering, and single-stage filtering. Learn to implement efficient filters on massive datasets using Pinecone's solution.
Locality Sensitive Hashing for Search with Shingling + MinHashing - Python
Learn efficient similarity search using Locality Sensitive Hashing (LSH) with shingling and MinHashing techniques in Python. Explore implementation steps, from data preprocessing to LSH tuning, for approximate nearest neighbor search.
JAX Crash Course - Accelerating Machine Learning Code
Accelerate machine learning with JAX: Learn NumPy-like operations on CPU, GPU, and TPU, automatic differentiation, and high-performance techniques for ML research in this comprehensive introduction.
Building Machine Learning Applications Fast
Learn to rapidly create machine learning applications using Gradio, exploring its modalities and desktop interface for easy model demonstration and deployment.
The Hugging Face Hub: Collaborating and Sharing Machine Learning Projects
Explore the Hugging Face Hub for collaborative ML projects, including model repositories, datasets, and tools with simple APIs for accessible machine learning.
Hugging Face Workshops - Pretraining Language Models & CodeParrot
Explore pretraining language models and CodeParrot, a code-writing AI. Learn data transformation, batching, evaluation, and tackle coding challenges in this hands-on workshop.
Langchain ChatGPT Your Documents Challenge Part 2 with GPT-3 and OpenAI Embeddings and Streamlit UI
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.
Chat GPT UI Built by GPT-3 API Responses Directly in VS Code Using HTML, CSS, JavaScript & FastAPI
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.
Kaggle with XGBoost, GPT-3, Chat GPT, and GitHub Copilot
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.
Fine Tuning GPT-3 With a Custom Dataset
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.
Beginners Workshop to Fine-Tune OpenAI LLM Model with Enterprise Web Data in Python
Learn to fine-tune OpenAI's GPT-3.5-Turbo model with enterprise web data using Langchain and ChromaDB. Create a ChatGPT-like interface for your customer data in this hands-on Python workshop.
Python Gradio UI for Fine-Tuning LLM - OpenAI GPT with Custom Data
Learn to create a Python Gradio UI for fine-tuning OpenAI's GPT model with custom data using LlamaIndex, enabling personalized Q&A and summarization capabilities.
Fine Tuning LLM -OpenAI GPT- with Custom Data in Python
Learn to fine-tune OpenAI GPT models with custom data using LlamaIndex in Python. Explore concepts, see a Gradio UI demo, and follow a coding walkthrough for Q&A and summarization tasks.
Python Workshop with Face Detection, Mesh & Orientations with Hugging Face Deployment
Build a Python web app for face analysis using Gradio UI, including face detection, mesh, and orientation. Learn to process webcam input and deploy to Hugging Face Space.
Hands-on Coding Lab: Text Prompt UI for Stable Diffusion Models - Part 4
Learn to save and retrieve prompts and images for Stable Diffusion models using Gradio. Implement a UI with dropdown lists, JSON storage, and duplication prevention for efficient prompt management.
Hands-on Coding Lab: Text Prompt UI for Stable Diffusion Models - Part 3
Learn to create a Python Gradio UI for Stable Diffusion models, including audio-to-text prompts, prompt updates, and image saving functionality in this hands-on coding tutorial.
A Developer Guide to Use Stable Diffusion Text-to-Image AI Model in Python
Learn to implement Stable Diffusion text-to-image AI model in Python, covering setup, pipeline creation, model testing, and Gradio app development for both local and Google Colab environments.
GPT-4 Tutorial - How to Chat With Multiple PDF Files of Tesla's 10-K Annual Reports
Learn to build a GPT-4 powered chatbot for analyzing multiple PDF files, using LangChain and Pinecone. Includes code walkthrough and demo with Tesla's annual reports.
GPT-4 & LangChain Tutorial - How to Chat With A 56-Page PDF Document
Learn to build a chatbot that interacts with a 56-page legal PDF using GPT-4, LangChain, and Pinecone. Explore the architecture, code implementation, and frontend interface creation for this powerful document analysis tool.