Rapid Application Development Using Large Language Models

Price
$500.00 USD

Duration
1 Day

Delivery Methods
Virtual Instructor Led
Private Group

Request More Information

Download Course Details

Course Details Only
Course Details & Schedule

Skip to Class Dates

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.

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

Who Should Attend?

Experienced Python Developers

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Course Prerequisites

Introductory deep learning, with comfort with PyTorch and transfer learning preferred. Content covered by DLI’s Getting Started with Deep Learning or Fundamentals of Deep Learning courses, or similar experience is sufficient.
Intermediate Python experience, including object-oriented programming and libraries. Content covered by Python Tutorial (w3schools.com) or similar experience is sufficient.

Agenda

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

Get in touch to schedule training for your team
We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.

Do You Have Additional Questions? Please Contact Us Below.

Contact Us about Starting Your Business Training Strategy with New Horizons