Learn with Aji ：Learn Prompt Engineering for Beginners – 6 : What is Context Window, Token and how pricing works

In this video, we explore two key concepts in using OpenAI API context window, tokens and the pricing. Think of tokens as the building blocks of our conversation with Large Language Models.

Context window: This is the amount of text the AI can “remember” at one time. Keeping your prompts within this limit helps the AI understand your whole question and avoid misunderstandings to the Model.

Tokens: These are the units that the breaks your text into.

In this video, I’ll break down these concepts in simple terms.

Timeline
0:00 Introduction
0:17 Tokenization process when call ChatGPT API
0:18 What are tokens and tokenization examples
2:21 How many tokens in one word?
2:39 What is context Window?
3:18 Open AI tokenizer tool
3:31 What are the context window of different models
4:00 What is the pricing to use OpenAI APIs
4:31 How to check my API usage and it’s cost
5:00 Can AI chat ots remember everything?

LINKS:
🔗Link to Prompt Engineering Tutorial playlist: https://www.youtube.com/playlist?list=PLb4ejiaqMhBzLuAGw1JfVCSG6nbjDKxtX
🔗 Open AI Tokenizer: https://platform.openai.com/tokenizer
Context window od OpenAI models: https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo
🔗 Pricing of OpenAI Models: https://openai.com/pricing

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