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fix: numbering in gen ai cost article #3
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WalkthroughThe recent update restructures a generative AI application's documentation, focusing on renumbering and renaming sections related to the implementation of triage logic, rate-limiting, and caching in the context of a dual-model approach for summarization. The changes aim to enhance clarity and readability, without altering the core logic and control flow. Changes
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Review Status
Actionable comments generated: 0
Configuration used: CodeRabbit UI
Files selected for processing (1)
- blog/2023-12-23-how-we-built-cost-effective-generative-ai-application/index.md (2 hunks)
Files skipped from review due to trivial changes (1)
- blog/2023-12-23-how-we-built-cost-effective-generative-ai-application/index.md
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Review Status
Actionable comments generated: 0
Configuration used: CodeRabbit UI
Files selected for processing (1)
- blog/2023-12-23-how-we-built-cost-effective-generative-ai-application/index.md (2 hunks)
Additional comments: 3
blog/2023-12-23-how-we-built-cost-effective-generative-ai-application/index.md (3)
53-53: The expansion of the "Rate-limiting" section with more detailed explanations is clear and maintains the logical flow of the article. The use of FluxNinja Aperture for rate-limiting is well explained and the inclusion of screenshots is a good practice for visual aid.
74-74: The new section on "Caching" is well-placed and provides valuable insights into how caching can save costs and prevent repetitive feedback. The explanation of using a semantic comparison for caching is technically sound and informative.
49-56: > Note: This review was outside the patches, so it was mapped to the patch with the greatest overlap. Original lines [1-102]
The reorganization of the article with the updated numbering and the addition of detailed explanations for rate-limiting and caching strategies is well-executed. The changes enhance the clarity and coherence of the article, aligning with the PR objectives to facilitate reader comprehension.
Summary by CodeRabbit