Revisiting ml5.js
Explore machine learning with ml5.js, from model training to integrating with OBS and Zoom. Learn to create interactive graphics and gestures in this hands-on coding session.
Data Sets for Analytics - What Is a Dataset - Top 25 Datasets
Explore 25 free datasets for analytics, including Iris, Boston, and Titanic. Learn about dataset types, formats, and their importance in machine learning and data analysis.
How to Use Machine Learning AI in Unity - ML-Agents
Unlock the power of Machine Learning AI in Unity with ML-Agents. Learn installation, agent creation, training, and visualization to enhance your game development skills.
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.
CMU Multilingual NLP 2020 - Automatic Speech Recognition
Learn about automatic speech recognition, covering pronunciation, acoustic, and language modeling techniques for multilingual NLP applications.
ABY3 - A Mixed Protocol Framework for Machine Learning
Explore privacy-preserving machine learning with ABY3, a framework addressing data collection concerns through encrypted computations and secure multi-party protocols.
Stable Diffusion Dreambooth Tutorial - Just Like Corridor Crew
Learn to use Dreambooth SD Optimised for adding custom elements to Stable Diffusion. This tutorial covers setup, training, and inference, with tips for different hardware configurations.
The Modern Trolley Problem - Responsible AI Principles
Explore ethical challenges in AI-driven vehicles, from object recognition to decision-making algorithms. Delve into responsible AI principles and the importance of intentional, transparent coding in autonomous systems.
Learning about Machine Learning from Kids
Explore AI through children's projects, gaining insights on machine learning principles and their real-world impact. Discover hands-on approaches for developers new to AI/ML.
Training LLMs with Diffusion Techniques - From Theory to Implementation
Dive into implementing text generation using discrete diffusion modeling, covering implementation details from basic concepts to training scripts for creating GPT-2 competitive models.
Large Language Model Training: Tackling Data Challenges
Explore expert tips on tackling data challenges in large language model training, covering use cases, tools, and knowledge graphs.