Training Models Courses and Certifications

Harvard CMSA

The TinyStories Dataset - Training Small Language Models for Coherent Text Generation

Explore groundbreaking research on TinyStories - a synthetic dataset enabling small language models to generate coherent stories using vocabulary comprehensible to young children.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

Discover AI

Adaptive Intelligence: In-Context Learning and Test-Time Training for Small Language Models

Explore adaptive intelligence mechanisms for small language models, focusing on In-Context Learning and Test-Time Training for real-time domain adaptation and optimization.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Discover AI

ORPO: A New Preference-Aligned Training Method for Large Language Models

Explore a groundbreaking reference model-free optimization algorithm for LLM training, comparing ORPO's performance with Llama 2 and Mistral 7B through theoretical physics perspectives.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Oxen

Deep Dive Into Self-Rewarding Language Models - Training Models as Their Own Judges

Explore how language models can be trained to evaluate and improve themselves, eliminating the need for human-labeled data while achieving superior performance in AI development and training.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Python Tutorials for Digital Humanities

How to Prepare Annotations in Prodigy for Training SpaCy SpanCat Models - Part 2

Master the process of preparing and using Prodigy annotations to train SpanCat models in spaCy, focusing on data preparation, annotation techniques, and model training workflows.

• YouTube
• 12 minutes
• On-Demand
• Free Video

AI Engineer

Building Cursor Composer - Infrastructure, Training, and Evaluations for AI Coding Models

Discover the infrastructure, training, and evaluation techniques behind Cursor Composer, exploring system architecture, scaling challenges, and semantic search for AI coding models.

• YouTube
• 16 minutes
• On-Demand
• Free Video

Neural Breakdown with AVB

Training Vision Language Models from Scratch Using Text-Only LLMs

Discover how to transform text-only LLMs into powerful Vision Language Models using Q-Former architecture from BLIP-2, with complete code implementation and training guide.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Trelis Research

Training Recursive Models - A Frontier in Adaptive Compute

Explore recursive neural network architectures that enable adaptive computation, efficient inference on smaller devices, and dynamic resource allocation for AI models.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Training and Evaluating LLaMA2 Models with Argo Workflows and Hera

Comprehensive guide to train and evaluate LLaMA2 models using Argo Workflows and Hera SDK. Covers setup, data preprocessing, model training, and performance assessment with cloud-native tools.

• YouTube
• 25 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Training Deep Learning Computer Vision Models in Pytorch Part II by Pranay Goel

Learn advanced techniques for training deep learning computer vision models using PyTorch, including optimization strategies and model architectures for improved performance and accuracy.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Training Deep Learning Computer Vision Models in Pytorch - Part I

Learn to train deep learning computer vision models using PyTorch, covering essential techniques and best practices for developing effective image analysis solutions.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

USENIX

Check-N-Run - A Checkpointing System for Training Deep Learning Recommendation Models

Innovative checkpointing system for large ML models, reducing bandwidth and storage needs through differential checkpointing and quantization techniques without compromising training accuracy.

• YouTube
• 16 minutes
• On-Demand
• Conference Talk

Training and Ensuring Reliability of ML Models - The Power of ArgoCD, Flyte, and Argo Workflows

Explore Wolt's approach to reliable ML model training and deployment using ArgoCD, Flyte, and Argo Workflows. Learn strategies for scalability, consistency, and collaboration in ML operations.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Computational Genomics Summer Institute CGSI

Training Highly Generalizable Biomedical Image Segmentation Models with Very Few Annotations

Learn highly generalizable biomedical image segmentation techniques using minimal annotations, focusing on efficient model training and performance optimization for medical imaging tasks.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Training Custom Clinical NER Models with Spark NLP

Learn to train custom clinical Named Entity Recognition models using Spark NLP, exploring advanced techniques for healthcare data extraction and analysis.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video