Description

In the realm of Natural Language Processing (NLP) and Large Language Models (LLM), leveraging pre-trained models has become a transformative practice, accelerating both research and applications in real-world scenarios.  Presented by Oracle Cloud Infrastructure and NVIDIA, this talk is intended to guide attendees on the path of fine-tuning large pre-trained models such as HuggingFace's Transformers (Falcon-40B), specifically focusing on question-answering and text summarization tasks.

We will delve into the theory and practical aspects of fine-tuning these models, shedding light on the mechanisms and strategies for model optimization and tailoring to specific tasks. Attendees will gain a deeper understanding of how pre-training and fine-tuning paradigms work and will acquire the know-how to apply them in their own NLP/LLM projects.


Local ODSC chapter in NYC, USA

Instructor's Bio

Dr. Sanjay Basu

 Senior Director – AI/ML at Oracle Cloud Engineering

Dr. Sanjay Basu is a highly accomplished leader with superior strengths in setting technology direction, managing customer relationships, managing large, diverse teams and delivering results.  He is an industry-recognized Artificial Intelligence / Machine Learning / Quantum Computing subject matter expert.

Webinar

  • 1

    ON-DEMAND WEBINAR: Enhanced Fine-tuning (using PEFT) of Open Source Pre-trained LLMs for Q&A and Summarization Tasks

    • Ai+ Training

    • Webinar recording

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