Introduction to Large Language Models
Chapter 1: Understanding Large Language Models
What is Artificial Intelligence? A Brief Overview
Introducing Natural Language Processing (NLP)
Defining Large Language Models (LLMs)
How LLMs Learn from Text Data
Examples of Tasks LLMs Can Perform
Common Misconceptions about LLMs
Quiz for Chapter 1
Chapter 2: The Mechanics of LLMs (Simplified)
Representing Words: Tokens and Embeddings
Predicting the Next Word: The Core Idea
The Role of Training Data Size
Understanding Model Parameters
Introduction to Transformer Architecture (High-Level)
How Context Influences Generation
Quiz for Chapter 2
Chapter 3: Communicating with LLMs: Prompts
What is a Prompt?
Basic Prompting Techniques
Providing Instructions Clearly
Giving Examples (Few-Shot Prompting)
Controlling Output Length and Format
Common Prompting Challenges
Practice: Crafting Your First Prompts
Quiz for Chapter 3
Chapter 4: A Look at Different LLMs
Overview of Foundational Models
General Purpose vs. Specialized Models
Open vs. Closed Models: What's the Difference?
Understanding Model Size and Capabilities
Accessing Models: APIs and Interfaces
Quiz for Chapter 4
Chapter 5: Using Pre-trained LLMs
What are Pre-trained Models?
Finding and Choosing an LLM Service
Interacting via Web Interfaces
Introduction to Using LLM APIs
Sending Your First API Request
Interpreting LLM Responses
Hands-on Practical: Simple Text Generation Task
Quiz for Chapter 5
Finding and Choosing an LLM Service
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- OpenAI API Documentation, OpenAI, 2024 (OpenAI) - Official guides for using OpenAI's models, including API references, quickstart guides, and information on playgrounds and pricing.
- Vertex AI Documentation, Google Cloud, 2024 (Google Cloud) - Official resource for Google Cloud's machine learning platform, including how to access and deploy Gemini and other large language models.
- The Hugging Face Course, Abubakar Abid, Ben Burtenshaw, 2024 (Hugging Face) - A comprehensive, free online course providing practical guidance on using Hugging Face's ecosystem, including Transformers, Datasets, and Spaces for various NLP and LLM tasks.
- Amazon Bedrock Documentation, Amazon Web Services (AWS), 2024 (Amazon Web Services) - Official documentation for AWS Bedrock, covering access to foundation models from Amazon and third-party providers, and its use in building generative AI applications.