Syntax - Tasty Web Development Treats

789: Do More With AI - LLMs With Big Token Counts

Jul 1, 2024

33:43

Snipd AI

Dive into the world of AI with insights on LLM token sizes, context windows, and maximizing AI potential for developers. Explore practical use cases like generating API documentation, seed data for databases, and summarizing videos. Discover how AI can assist developers in tasks, leveraging larger token counts for enhanced productivity and efficiency.

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Quick takeaways

Leveraging LLMs with larger token counts enhances AI capabilities for software developers by providing better data processing for extensive text tasks.

Maintaining a broader context window in LLMs prevents 'hallucinations' and improves response quality, leading to more accurate and relevant AI-generated outputs.

Deep dives

Understanding Large Language Models (LLMs)

LLMs offer a greater context window for software developers, allowing the processing of a larger amount of tokens. This enhanced processing capability is beneficial for tasks involving extensive text data. AI solutions leveraging LLMs can significantly aid developers by providing them with more data, leading to better outcomes in software development projects.

Consider Context Window and Token Limit in Conversations with Chat GPT

00:49

Automated Data Generation for Restaurants

01:22

Intro

4min

Understanding Tokens and Context in Language Models

5min

Token Count and AI Model Capabilities

9min

Utilizing JS Doc Style Typing in a Monorepo Project and AI for Generating Documentation

2min

Benefits of AI in Assisting Developers

11min

Exploring Gemini 1.5 Pro in Dev Console and Anticipating Future Features

2min

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.