Fine-tuning LLMs with TensorFlow and GCP

Language models, particularly those based on deep learning architectures, have revolutionized natural language processing tasks, enabling machines to understand, generate, and interact with human language more effectively than ever before. Fine-tuning these pre-trained models for specific tasks has proven to be a game-changer, allowing organizations to achieve impressive results in various domains, from sentiment analysis and language translation to text generation and chatbot development. In this talk, we will dive into the world of fine-tuning large language models, exploring how to leverage the powerful combination of TensorFlow and Google Cloud Platform (GCP) to unlock the full potential of state-of-the-art language models. We will look at some common patterns to build different apps on GCP and some real world examples of using LLMs on their own data using GCP.

This is a joint event with the GenAI Gurus community.