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Micro-course: LLM Fundamentals

68,482 views

Learn key concepts and earn your certificate.

1.
How LLMs Actually Work

How LLMs Actually Work

01:34
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2.
Tokens Context Windows and Cost

Tokens Context Windows and Cost

01:37
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Embeddings Explained

Embeddings Explained

01:26
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4.
Inference vs Training

Inference vs Training

01:24
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5.
Choosing the Right Model

Choosing the Right Model

01:27
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Modern AI Landscape arrow LLM Fundamentals

Choosing the Right Model

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01:27
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Choosing the Right Model

Video Summary: Choosing the Right Model

This video explains how to select the most appropriate large language model (LLM) for your AI project by considering key factors such as the type of task, available data, model size, and performance needs. Understanding these criteria helps ensure efficient use of resources and optimal results in AI applications.

Frequently Asked Questions

Consider your computational resources, latency requirements, and the complexity of your task. Larger models generally offer better accuracy but require more processing power and memory, so balance these factors based on your deployment environment.