Rapid Application Development Using Large Language Models

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Course Overview

In this course, you’ll gain a strong understanding and practical knowledge of LLM application development by exploring the open-sourced ecosystem, including pretrained LLMs, that can help you get started quickly developing LLM-based applications.

Who Should Attend

Experienced Python Developers

Course Objectives

    • Find, pull in, and experiment with the HuggingFace model repository and the associated transformers API
    • Use encoder models for tasks like semantic analysis, embedding, question-answering, and zero-shot classification
    • Use decoder models to generate sequences like code, unbounded answers, and conversations
    • Use state management and composition techniques to guide LLMs for safe, effective, and accurate conversation

Course Outline

  • Introduction
  • From Deep Learning to Large Language Models
  • Specialized Encoder Models
  • Encoder-Decoder Models for Seq2Seq
  • Decoder Models for Text Generation
  • Stateful LLMs
  • Assessment and Q&A

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Class Dates & Times

Class times are listed Central time

This is a 1-day class

Price : $500.00

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