Fine-Tuning Your Own Llama 2 Model
In this session, we take a step-by-step approach to fine-tune a Llama 2 model on a custom dataset.
Nov 2023
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tutorial
Fine-Tuning LLaMA 2: A Step-by-Step Guide to Customizing the Large Language Model
Learn how to fine-tune Llama-2 on Colab using new techniques to overcome memory and computing limitations to make open-source large language models more accessible.
Abid Ali Awan
12 min
tutorial
Fine-Tuning Llama 3 and Using It Locally: A Step-by-Step Guide
We'll fine-tune Llama 3 on a dataset of patient-doctor conversations, creating a model tailored for medical dialogue. After merging, converting, and quantizing the model, it will be ready for private local use via the Jan application.
Abid Ali Awan
19 min
tutorial
Fine Tuning Google Gemma: Enhancing LLMs with Customized Instructions
Learn how to run inference on GPUs/TPUs and fine-tune the latest Gemma 7b-it model on a role-play dataset.
Abid Ali Awan
12 min
tutorial
An Introductory Guide to Fine-Tuning LLMs
Fine-tuning Large Language Models (LLMs) has revolutionized Natural Language Processing (NLP), offering unprecedented capabilities in tasks like language translation, sentiment analysis, and text generation. This transformative approach leverages pre-trained models like GPT-2, enhancing their performance on specific domains through the fine-tuning process.
Josep Ferrer
12 min
tutorial
Fine-Tune and Run Inference on Google's Gemma Model Using TPUs for Enhanced Speed and Performance
Learn to infer and fine-tune LLMs with TPUs and implement model parallelism for distributed training on 8 TPU devices.
Abid Ali Awan
12 min
code-along
Retrieval Augmented Generation with LlamaIndex
In this session you'll learn how to get started with Chroma and perform Q&A on some documents using Llama 2, the RAG technique, and LlamaIndex.
Dan Becker