Everyday AI Podcast – An AI and ChatGPT Podcast

EP 336: A Complete Guide to Tokens Inside of ChatGPT

Aug 14, 2024

Dive into the fascinating world of tokenization and its crucial role in AI interactions. Understand how tokens help large language models like ChatGPT interpret language and context. Discover the latest advancements in AI technologies from top companies. Learn about common misconceptions surrounding memory limits and how they affect your AI experience. Plus, don't miss the chance to engage for a chance to win a unique Q&A session with the hosts!

47:48

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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

Recent Advancements in AI: From Google to OpenAI

5min

Understanding Tokens: The Key to Effective Chatbot Interactions

28min

Navigating Tokenization and Memory Recall in ChatGPT

11min

Exciting Opportunity to Engage: Win a Free Q&A Session

2min

Win a free year of ChatGPT or other prizes! Find out how.

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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Join the discussion: Ask Jordan questions on ChatGPT

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
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

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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