Session
Building Custom Large Language Models with Llama: Exploring Pros and Cons
Come join two experts that have been working with LLMs for the past few years building real world solutions for customers.
In the rapidly evolving landscape of natural language processing, the demand for large language models has surged. Customization of these models to suit specific domains and tasks has become crucial. This technical presentation delves into the world of building custom large language models using the innovative framework known as Llama. Llama stands for "Language Model Learning Architecture," and it has emerged as a powerful tool for tailoring language models to diverse applications.
In this presentation, we will explore the step-by-step process of creating custom large language models with Llama, covering key concepts such as fine-tuning, transfer learning, and data preparation. We will also delve into the extensive pros and cons associated with this approach.
By the end of this presentation, attendees will gain a comprehensive understanding of the Llama framework, its capabilities in custom model creation, and the nuanced trade-offs between customization and generic large language models. Whether you are a researcher, developer, or decision-maker in the field of NLP, this presentation will equip you with valuable insights into harnessing the power of Llama for your specific language model needs.
![](https://sessionize.com/image/e075-400o400o2-YDWrakvdv5m3gYuK637ri6.jpeg)
Min Maung
Mentor, Technical Presenter, Data Scientist
Chicago, Illinois, United States
Links
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