Lightweight Fine-Tuning of LLMs: Practical Workshop with Python

Unlock the potential of Large Language Models (LLMs) in this hands-on workshop designed for professionals and enthusiasts alike. Whether you're a data scientist, Python developer, researcher, tech enthusiast, entrepreneur, or a business owner with limited resources, this session will teach you how to harness open-weight LLMs for transforming unstructured text into structured data efficiently. Say goodbye to complex and resource-heavy processes and discover lightweight solutions for text processing.
Learn how to create custom datasets, perform lightweight fine-tuning, and build models for extracting structured information from unstructured text using Python and OpenAI’s API. Gain practical skills to implement text processing workflows tailored to your business needs or research objectives.
What You’ll Learn:

• How to create and preprocess datasets for unstructured text extraction.
• Lightweight fine-tuning techniques for resource-efficient text processing.
• Practical workflows to simplify unstructured-to-structured data transformation.
• Hands-on coding exercises to build models for text extraction and structuring.

Who Should Attend:

• Businesses and startups with limited budgets aiming to streamline text processing.
• Professionals looking for practical ways to handle unstructured text without relying on closed-source solutions.
• Data scientists and developers interested in optimizing text processing workflows.
• Anyone eager to apply LLMs to extract actionable insights from unstructured data.

Requirements:

• Bring your own laptop.
• Subscribe to OpenAI API in advance for data set creation.
• Google Colab subscription $9.99
• Basic ability in Python, all code will be provided.

Don’t miss this opportunity to master cutting-edge AI techniques, transform how you process text, and create structured data solutions tailored to your projects