AI Startup Blueprint

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Module 1: Start.

Basics of AI

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Basics of AI

What is an LLM?

Difference from regular ML models

Designed to understand nuances of human language

Accessing LLMs:

Use APIs for comprehensive models

Challenges with traditional LLM:

Hallucinations

Data risks

Building LLM from scratch:

Highly expensive, billions of parameters

Need massive funding (e.g. OpenAI, Maestro)

Powering LLMs:

GPU power is a key factor

Faster and more efficient inferences ensure real-time responsiveness

Introduction to Langchain:

Framework for ChatGPT & other LLMs

Facilitates chained interactions

Simplifies creation of applications using LLMs

Types of LLM interactions:

Text to text (e.g. code generation)

Text to images (e.g. Midjourney, DALL·E)

Text to video

Images to images

Images to video

Action Items:

Familiarize Yourself with LLM Basics Above

Challenges with traditional LLM:

Building LLM from scratch:

Introduction to Langchain:

Types of LLM interactions:

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