T5 Courses and Certifications

Natural Language Processing with Attention Models

1024 ratings at Coursera

Learn advanced NLP techniques including attention models, Transformers, and transfer learning to build applications for translation, summarization, question-answering, and chatbots.

• Coursera
• 1 day 2 hours 28 minutes
• On-Demand
• Free Online Course (Audit)

Databricks

Large Language Models: Foundation Models from the Ground Up

Explore innovations in transformer-based architectures, efficient fine-tuning, deployment considerations, and multi-modal developments for large language models in this comprehensive deep dive.

• edX
• 4 weeks, 4-8 hours a week
• On-Demand
• Free Online Course (Audit)

AI Language Models and Foundation Models

15 ratings at Pluralsight

Explore the foundation of AI language models, gain a deep understanding of BERT, GPT, and T5 and their practical applications and even learn how to fine tune such a model yourself.

• Pluralsight
• 1 hour 5 minutes
• On-Demand
• Free Trial Available

The Full Stack

LLM Foundations - LLM Bootcamp

Explore foundational concepts of large language models, including machine learning basics, Transformer architecture, and notable LLMs. Gain insights into pretraining datasets and instruction tuning.

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

Data Science Dojo

Large Language Models Simplified

Explore LLM concepts, prompt engineering, and augmented LLMs to build AI applications. Gain hands-on experience and expert insights into the cutting-edge world of Language Models.

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

Abhishek Thakur

Introduction to T5 for Sentiment Span Extraction

Explore T5's text-to-text approach for NLP tasks, focusing on sentiment span extraction in tweets. Learn about multi-task learning and its potential impact on industrial NLP applications.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Graham Neubig

Pre-training and Pre-trained Models in Advanced NLP - Lecture 5

Explore pre-training in NLP, covering objectives, data, model types, and notable examples. Gain insights into advanced techniques shaping modern language processing.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Improving Retrieval with RAG Fine-tuning

Learn effective ways to adapt and optimize RAG models. This course will teach techniques for Fine-tuning RAG models using different methods, such as task-specific, domain adaptation, and multi-task fine-tuning.

• Pluralsight
• 20 minutes
• On-Demand
• Free Trial Available

AutoML Seminars

No Train No Gain - Revisiting Efficient Training Algorithms for Transformer-based Language Models

Delve into efficient training algorithms for Transformer models, exploring dynamic architectures, batch selection, and optimizers while examining their effectiveness against baseline methods.

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

Trelis Research

Fine-Tuning a Diffusion Model with Your Photos

Learn to fine-tune a diffusion model using your own photos. Explore Flux Schnell, set up GPU environments, create datasets, and understand the intricacies of diffusion models and their architectures.

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

The Machine Learning Engineer

Fine-Tune T5 for Document Classification - Part 1: Creating Dataset with Web Scraping

Personalize Flan-T5 for document classification by creating a custom dataset using web scraping techniques with DuckDuckGo.

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

The Machine Learning Engineer

Document Summarization: Langchain Summarization Chains, Clustering and LLMs

Explore document summarization using Langchain, Hugging Face Transformers, and clustering techniques for efficient text analysis and insights.

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

The Machine Learning Engineer

Fine-Tuning Flan T5 Base for Document Summarization Using Multi-News Dataset

Fine-tune Flan T5 for document summarization using multi_news dataset. Learn practical implementation with provided notebook and explore variations with other models and datasets.

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

The Machine Learning Engineer

Microsoft AI: Semantic Kernel SDK Integration with Hugging Face Models

Integrate Semantic Kernel with Huggingface models for text generation and summarization using GPT2 and T5-base. Explore practical implementation for machine learning tasks.

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

Discover AI

LLM Ecosystem: A Comprehensive Guide to Large Language Models and AI

Dive into the comprehensive world of Large Language Models, from GPT to LLaMA, covering model architectures, fine-tuning techniques, and practical implementation strategies for AI applications.

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