Fine-Tuning Courses and Certifications

Discover AI

Creating Instruction Datasets for LLM Fine-tuning - A Beginner's Guide

Discover comprehensive strategies for creating instruction datasets and fine-tuning LLMs, from basic concepts to advanced techniques for both coders and non-coders in AI model development.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Discover AI

Fine-Tuning Code Language Models - A Practical Guide

Master the process of fine-tuning Code LLMs using instruction datasets, from environment setup to implementation, with hands-on demonstrations using StarCoder and practical GPU requirements guidance.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Discover AI

Fine-tuning T5 LLM for Text Generation and Summarization - Complete Tutorial

Master T5 LLM fine-tuning techniques for text summarization through hands-on coding in Google Colab, using practical examples and real-time implementation with Hugging Face.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

AI Engineer

Everything You Need to Know About Fine-Tuning and Merging LLMs

Discover essential fine-tuning techniques for LLMs including LoRA, QLoRA, and preference alignment methods like PPO and DPO to customize models for enterprise needs.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Hyperparameter Tuning in Python

12 ratings at DataCamp

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Hyperparameter Tuning in R

Learn how to tune your model's hyperparameters to get the best predictive results.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Google DeepMind: Accelerate Your Model

Train more powerful models with a single GPU, learn how hardware can speed up model training and the key considerations when training models on a GPU.

• DataCamp
• Self-Paced
• Free Trial Available

Google DeepMind: Fine-Tune Your Model

Unleash the power of language models with fine-tuning. In this course, you will learn how to adjust a pre-trained model to a specific task.

• DataCamp
• 8 hours
• Self-Paced
• Free Trial Available

LLMOps Space

Fine-tuning LLMs with Hugging Face SFT and QLoRA - LLMOps Techniques

Explore advanced LLM fine-tuning techniques, from specialized tuning to instruction enhancement. Learn dataset preparation, model optimization, and leverage powerful libraries for efficient fine-tuning and deployment.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

MLOps.community

Fine-Tuning LLMs: Best Practices and When to Go Small - Lecture 124

Explore best practices for fine-tuning LLMs, including strategies for improving performance, overcoming challenges, and determining when to use smaller models for specific tasks.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Weights & Biases

Fine-tuning LLMs to Reduce Hallucination - Leveraging Out-of-Domain Data

Explore techniques to enhance LLM factual consistency using out-of-domain data and two-step fine-tuning. Learn to leverage Weights & Biases for model evaluation and improve hallucination detection.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Anyscale

Lessons From Fine-Tuning Llama-2

Explore insights from fine-tuning Llama-2 for specialized applications. Learn setup, infrastructure, and efficiency techniques to outperform GPT-4 in specific scenarios using Anyscale and Ray.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Trelis Research

Top Ten Tips for Fine-tuning Large Language Models

Discover ten essential tips for effective fine-tuning of language models, from starting small to advanced techniques like LoRA and preference tuning. Gain practical insights for optimal results.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Trelis Research

Fine-tuning Llama 3 on Wikipedia Datasets for Low-Resource Languages

Learn to fine-tune Llama 3 on Wikipedia datasets for low-resource languages. Master dataset creation, LoRA setup, blending techniques, and parameter optimization for improved language model performance.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Trelis Research

Fine-tuning Multi-modal Video and Text Models

Explore fine-tuning techniques for multi-modal video and text models, covering dataset generation, clipping, querying, and evaluation using IDEFICS 2 and Jupyter Notebooks.

• YouTube
• 22 minutes
• Self-Paced
• Free Video