Syntax - Tasty Web Development Treats 789: Do More With AI - LLMs With Big Token Counts
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Jul 1, 2024 Scott and CJ delve into the exciting realm of AI, discussing the versatility of large language models (LLMs) and their token capacities. They break down what tokens are and how input length impacts AI outputs. From generating JSDoc style typing to creating seed data for databases, they reveal practical coding applications. The duo also emphasizes the importance of context in enhancing AI-generated content and shares insights on AI integration costs and benefits for developers. It's a feast of knowledge for anyone keen on leveraging AI in their work!
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Tokens Explained
- Tokens are units of text, like words or characters, that LLMs use.
- More tokens allow for more context and better AI responses.
Token Complexity
- Token count varies by model; "token" isn't a standard unit.
- Visualizing tokenizers online helps understand their behavior.
Context Window
- LLMs have a "context window" (token limit).
- Exceeding it causes context loss, like forgetting initial instructions.