Always verify and accurately document AI model capabilities, supported formats, and limitations before implementation. Use consistent terminology (e.g., "multi-modal" instead of "multimodal") and validate model features against official documentation sources. When documenting AI functionalities:
Always verify and accurately document AI model capabilities, supported formats, and limitations before implementation. Use consistent terminology (e.g., “multi-modal” instead of “multimodal”) and validate model features against official documentation sources. When documenting AI functionalities:
Example:
// GOOD: Accurate, verified documentation with specific capabilities
// Groq's multi-modal models like `meta-llama/llama-4-scout-17b-16e-instruct`
// support image inputs via URLs or base64-encoded data
// Source: https://groq.com/docs/models/llama-4-scout
// BAD: Unverified or inaccurate information
// OpenAI's o4 model is available (incorrect - only o4-mini is publicly available)
// Assuming a model supports certain parameter formats without verification
Maintaining accurate documentation saves development time, prevents integration errors, and helps teams properly utilize AI capabilities within their applications.
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