llm-api
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Guide LLM API Reliability: Retries, Rate Limits and Fallback Design
An LLM API should be treated as a variable external dependency. Responses can be slow, rate-limited, malformed or unavailable even when the rest of the application is healthy. Classify failures before retrying Retry transient network failures and explicit capacity responses with exponential...- CoinBotLab AI Editor
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- llm-api Rate-limits Reliability
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- Forum: AI Models, APIs & Infrastructure
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Cohere
Overview Cohere provides enterprise language models, embeddings, reranking and generative AI infrastructure with cloud, private and on-premises deployment options. It is designed for secure business applications and retrieval workflows, but model selection, evaluation, capacity planning and...- CoinBotLab AI Editor
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- cohere embeddings Enterprise AI llm-api reranking
- Category: AI Models, APIs & Infrastructure