Catalyst Conference NLP with ChatGPT (and other Large Language Models) Transformer Architectures from Development to Deployment

Understand Attention and Transformers, as well as how these essential modern NLP concepts relate to Deep Learning and LLMs
Survey the staggeringly broad range of LLMs' natural-language capabilities
Learn how to use LLMs in practice, including how to train and deploy them into production NLP applications
Large Language Models (LLMs) such as GPT series architectures have dramatically accelerated the natural language processing (NLP) capabilities of machines in recent years. These capabilities, facilitated by LLMs' hundreds of billions of model parameters, approach or exceed human-level performance on a staggeringly broad set of natural-language tasks — often without any task-specific training being required. In this event, leading subject-matter experts introduce LLMs and their associated concepts (e.g., Transformers, Attention), survey LLMs' breadth of capabilities, and provide the best practices on how to leverage LLMs efficiently and confidently in order to supercharge your own natural-language applications.
AI Catalyst
The AI Catalyst Conference from Pearson brings together leading voices in AI to make complex topics understandable and actionable. Host Jon Krohn guides the conversation and explains how to bring state-of-the-art methods into practice. Gain new information or a different perspective to make an impact in your job and in the world.
Free Download By the end of the course, you'll understand
Large Language Models (LLMs)
Attention
Transformers
The breadth of state-of-the-art NLP applications
And you'll be able to
Select an appropriate LLM architecture for a given NLP application
Prompt pre-trained LLMs like ChatGPT and GPT-3 to effectively produce your desired output
Train and deploy LLMs into production NLP applications
Potentially accelerate your data science roadmap by months or years by leveraging a pre-trained LLM instead of needing to train individual task-specific models from scratch yourself
This course is for you because.
You'd like to appreciate the staggering breadth of NLP and Deep Learning capabilities
You are a data scientist, software developer, ML engineer, or other technical professional who would like to be able incorporate new NLP approaches into real-world applications
Prerequisites
All you need is an interest in how AI can impact you and your organization.