Everyday AI Podcast – An AI and ChatGPT Podcast

EP 336: A Complete Guide to Tokens Inside of ChatGPT

Aug 14, 2024

Jordan, an expert in large language models and ChatGPT, dives into the often misunderstood world of tokens. He explains how tokens are the building blocks that enable AI to process language effectively. The discussion covers misconceptions about GPT-4 and highlights the importance of understanding tokenization for better AI outputs. Jordan also shares insights on the context windows of different models and offers practical tips to optimize generative AI use for improved performance.

47:48

Episode guests

Jordan

AI Summary

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Episode notes

Podcast summary created with Snipd AI

Quick takeaways

Tokens are fundamental units in ChatGPT that enable effective language processing and contextual analysis, improving AI communication.

Understanding the limitations of a model's context window is crucial for maintaining coherent interactions and optimizing user prompts with AI.

Deep dives

Understanding Tokens in AI

Tokens serve as fundamental units that large language models, such as ChatGPT, utilize to process and understand text. Each token can be a portion of a word, a full word, or even punctuation, hence breaking down complex language into smaller, manageable parts. For example, the word 'strawberry' can be divided into three tokens, demonstrating that language models operate on numeric values assigned to these tokens instead of seeing them as traditional words. This mechanism allows models to better analyze context and respond accordingly, clarifying that their behavior reflects computational rules rather than human-like understanding.

Intro

2min

Latest Trends and Innovations in AI Technology

5min

Understanding Tokens in Chatbots and Their Importance

2min

Understanding Tokens and Their Role in Large Language Models

38min

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Wait.... tokens? When using a large language model like ChatGPT, tokens really matter. But hardly no one understands them. And NOT knowing how tokens work is causing your ChatGPT output to stink. We'll help you fix it.

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Related Episodes: Ep 253: Custom GPTs in ChatGPT – A Beginner’s Guide
Ep 318: GPT-4o Mini: What you need to know and what no one’s talking about

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Tokenization in ChatGPT
2. Comparison of Different AI Models
3. Importance of Tokenization and Memory in AI Models
4. Limitations of ChatGPT
5. Explanation of Tokenization Process

Timestamps:
02:10 Daily AI news
07:00 Introduction to tokens
10:08 Large language models understand words through tokens.
12:05 Understanding tokenization in generative AI language models.
16:35 Contextual analysis of words for language understanding.
19:15 Different models have varying context window sizes.
23:57 Misconception about GPT-4. Detailed explanation follows.
26:38 Promotion of PPP course, common language mistakes.
28:57 Excess text to exceed word limit intentionally.
33:19 Keeping up with ever-changing AI rules.
36:50 Recall important information by prompting chat GPT.
40:37 Highlight information, use quotation button, request summary.
43:41 Clear communication is crucial for ChatGPT.

Keywords:
Jordan Wilson, Bears football team, personal information, Carolina blue, deep dish pizza, token counts, memory limitations, ChatGPT, tokenization, language models, generative AI, controlling response, token range, memory recall, AI models, GPT, anthropic Claude, Google Gemini, context window, book interaction, large language models, OpenAI's GPT 4.0, transcript summary, Everyday AI, Google's Gemini Live AI assistant, new Pixel 9 series, XAI's Grok 2, OpenAI's GPT 4 update, importance of tokens in chatbots, podcast promotion.

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