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Learn LLM Fine-Tuning, earn certificates with paid and free online courses from Duke, IIM Bangalore and other top universities around the world. Read reviews to decide if a class is right for you.
Learn to use OpenAI to fine tune LLMs on your own datasets!
Fine-tune domain-specific LLMs with supervised methods, PEFT, and RLHF, handling data preparation, hyperparameter tuning, and evaluation, then tune Falcon-7B and build a LangChain plus DALL·E image app.
Fine-tune Llama 2 and Gemma language models using QLoRA, quantization, and custom data.
Design and build an automated LLM fine-tuning solution through an AI customer simulation and guided AWS Console lab.
Practice fine-tuning a large language model on Amazon SageMaker through an AI-guided AWS solution design and live console lab.
Fine-tuning the Llama model This course provides a comprehensive guide to preparing and working with Llama models.
Fine-tune language models: reformat a dataset into question-and-answer flashcards, run full-parameter training, apply LoRA to Gemma3-1B, and weigh SFT limits and governance responses.
Build adaptive AI agents by fine-tuning language models with SFT, PEFT, ReAct reasoning, and DPO alignment.
Fine-tune an LLM on custom data in Python, using LlamaIndex to support question answering, summarization, and other ChatGPT-like functions.
API, ChatGPT, Prompt Engineering, Finetuning, OpenAI, Integrate ChatGPT, Business AI, Generative AI, Chat GPT 4
Fine-tune causal LLMs with instruction tuning, reward modeling, RLHF, PPO, and direct preference optimization, using Hugging Face trainers and LoRA in hands-on labs.
Fine-tune large language models with Hugging Face and PyTorch: load and pretrain transformers, then apply PEFT, adapters, LoRA, QLoRA, quantization, and soft prompts.
Fine-tune GPT-3.5 with the OpenAI API in Python to extract topic, problem, and a 0-100 dissatisfaction index from telecom customer complaints.
Build a text-to-SQL agent, measure it with an evaluation framework, and cut hallucinations through instruction tuning, memory tuning, LoRA, and MoME on Llama models.
Learn to fine-tune large language models for business tasks: LLM fundamentals, comparing models and tools, analyzing industry applications, and building fine-tuning strategies.
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