Introduction to Large Language Models (LLMs) and Prompt Engineering (Video Course), 2nd Edition

Description

Learn how to use and launch large language models (LLMs) like GPT, Llama, Claude T5, and BERT and design prompts for optimal AI workloads.

Introduction to Large Language Models (LLMs) and Prompt Engineering guides you to launch LLMs like GPT, Llama, Claude, T5, and BERT at scale. It presents a step-by-step approach to building and deploying LLMs, with real-world case studies to illustrate the concepts. It also covers how to begin your LLM journey with prompt engineering with optimal instruction placements and prompting across models. The video works toward building a Retrieval-Augmented Generation (RAG) system with LLMs. It fills a gap in the market by providing a guide to using LLMs and will be a valuable resource for anyone looking to use LLMs in their projects.

The companion GitHub repository for this course is at https://github.com/sinanuozdemir/quick-start-guide-to-llms

Learn How To:

• Apply large language models (LLMs) and use semantic search with them
• Utilize principles of prompt engineering to build agents and a retrieval-augmented generation (RAG) bot with OpenAI and GPT-4
• Understand how AI agents are built and operated

Who Should Take This Course:

• Machine learning engineers with experience in ML and want to learn more about LLMs
• Developers, data scientists, and engineers who are interested in using LLMs for their projects
• Those who want the best outputs from Generative LLMs and Embedding models

Skill Level:

• Beginner to Intermediate

Course requirement:

• Python 3 proficiency with some experience working in interactive Python environments including Notebooks (Jupyter/Google Colab/Kaggle Kernels)

About Pearson Video Training

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.

Sample Content

Table of Contents

Lesson 1: Overview of Large Language Models

Lesson 2: Semantic Search with LLMs

Lesson 3: First Steps with Prompt Engineering

Lesson 4: Retrieve Augmented Generation (RAG) + AI Agents

Lesson 5: Advanced Prompt Engineering

Updates

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