Real-World Python Machine Learning Tutorial With Scikit Learn
Comprehensive Python machine learning tutorial covering sentiment analysis using scikit-learn, from data preparation to model evaluation and optimization, with practical examples using Amazon reviews.
How to Build a Content Moderation App in Python for Analyzing Audio Files
Learn to build a Python app for audio content moderation using AssemblyAI API and Streamlit. Transcribe audio, analyze content, and create an interactive tool for efficient moderation.
MLOps 101 - A Practical Tutorial on Creating a Machine Learning Project with DagsHub
Step-by-step tutorial on using DagsHub for machine learning projects, covering project creation, environment setup, remote storage configuration, version control, experiment tracking, and hypothesis exploration.
Build Your First Machine Learning Model in Python
Learn to build a machine learning model in Python using scikit-learn. Covers data loading, splitting, model building with linear regression and random forest, comparison, and visualization.
Machine Learning in R - Repurpose Machine Learning Code for New Data
Learn to adapt machine learning code in R for new datasets. Explore data understanding, visualization, and model building techniques using the DHFR dataset as an example.
Enhance Low Light Images Using Keras, Python and Weights & Biases
Learn to enhance low-light images using Zero-DCE, an unsupervised technique implemented with Python, Keras, and Weights & Biases. Explore model training, experiment tracking, and result visualization in this hands-on tutorial.
Fine-Tuning OpenAI's GPT-3
Explore GPT-3's applications, fine-tuning benefits, and API development with OpenAI's VP and a W&B engineer. Learn about commercial uses and the new OpenAI-W&B collaboration for logging fine-tuning projects.
Train GPT-3 on Any Corpus of Data with ChatGPT and Knowledge Graphs - SCOTUS Opinions Part 1
Learn to create knowledge graphs from Supreme Court decisions, enhancing GPT-3's understanding of legal concepts for improved AI applications in law and research.
Play Twenty Questions with GPT-3 - Full Game Coding Walkthrough
Step-by-step walkthrough of coding a Twenty Questions game using GPT-3, covering random word generation, prompt building, and bot creation for question answering and gameplay logic.
Stress Testing Qdrant - Semantic Search with 90,000 Vectors - Lightning Fast Search Microservice
Explore stress testing Qdrant for semantic search with 90,000 vectors. Learn to set up TensorFlow, generate data, and evaluate search efficiency in this hands-on tutorial.
Semantic Search for AI - Testing Out Qdrant Neural Search
Explore semantic search implementation using Qdrant, covering Docker setup, data cleaning, microservice creation, and leveraging sentence embeddings for improved AI-powered search capabilities.
Metaprompting with GPT-3 to Dynamically Generate Arguments
Explore advanced techniques for generating complex arguments and essays using GPT-3, including prompt chaining, metaprompting, and automated writing strategies.
Finetune GPT-3 to Write a Coherent Novel - Success! With Minor Bugs
Explore the process of using AI to write a novel, from generating summaries to creating full chapters, with insights on recursive neural networks and GPT-3 implementation.
Fine-Tune Multiple Cognitive Tasks with GPT-3 on Medical Texts and Reduce Hallucination
Learn to finetune GPT-3 for medical tasks, reduce hallucination, and improve accuracy in extracting information from patient charts and generating diagnoses.
Train GPT-3 on Any Corpus of Data with ChatGPT and Knowledge Graphs - SCOTUS Opinions Part 2
Learn to process and analyze Supreme Court opinions using ChatGPT and knowledge graphs. Covers data cleaning, chunking, encoding, and visualization techniques with Python libraries.
Convolutional Neural Nets Explained and Implemented in Python - PyTorch
Comprehensive guide to Convolutional Neural Networks: theory, implementation, and practical applications using Python and PyTorch for computer vision tasks like image classification.
Vision Transformers Explained + Fine-Tuning in Python
Explore Vision Transformers (ViT) for image classification, from theory to implementation. Learn about attention mechanisms, patch embeddings, and fine-tuning using Hugging Face in Python.
Fast Zero Shot Object Detection with OpenAI CLIP
Learn zero-shot object detection and localization using OpenAI CLIP, a multi-modal deep learning model. Implement practical techniques for efficient, domain-flexible computer vision tasks without fine-tuning.
How to Use OpenAI Whisper to Fix YouTube Search
Learn to enhance YouTube search using OpenAI Whisper, transformers, and vector search. Build a system for precise content retrieval, transcription, and question-answering from YouTube videos.
Evaluation Measures for Search and Recommender Systems
Learn popular offline metrics for evaluating search and recommender systems, including Recall@K, MRR, MAP@K, and NDCG@K, with Python demonstrations and practical insights for improving information retrieval systems.
Is GPL the Future of Sentence Transformers - Generative Pseudo-Labeling Deep Dive
Explore Generative Pseudo-Labeling for training high-performance sentence transformers using unlabeled text data. Learn implementation techniques, potential applications, and future implications for NLP and semantic search.