Consider Context Window and Token Limit in Conversations with Chat GPT

49sec Snip

00:00

Play full episode

Summary

Transcript

Episode notes

In conversations with chat GPT, it is essential to consider the context window and token limit. The context window represents the token limit, which for GPT 3.5 is around 4,000 tokens. This means that the model can only consider 4,000 tokens at a time, leading to a loss of context for previous questions or outputs. Therefore, it is crucial to be mindful of the token count and context window to maintain context in the conversation.

Join Scott and CJ as they dive into the fascinating world of AI, exploring topics from LLM token sizes and context windows to understanding input length. They discuss practical use cases and share insights on how web developers can leverage larger token counts to maximize the potential of AI and LLMs.

Show Notes

00:00 Welcome to Syntax!
01:31 Brought to you by Sentry.io.
02:42 What is a token?
- Quizgecko GPT-4 Token Counter.
04:22 Context window sometimes called “max tokens”.
- OpenAI Platform Models.
- Claude Models.
10:42 Understanding input length.
11:59 Models + services with big token counts.
- Gemini Docs.
13:22 Generating open API documentation for a complex API.
17:29 Generating JSDoc style typing.
- Drop-In stolinski GitHub.
21:07 Generating seed data for a complex database.
- bytedash w3cj GitHub.
24:34 Summarizing 8+ hours of video.
29:35 Some things we’ve yet to try.
31:32 What about cost?
- Google AI for Developers Cost.