Manage LLM Costs in Production: A Step-by-Step Playbook
A practical playbook to manage LLM costs in production: choose models wisely, cut tokens, batch and cache calls, use retrieval over generation, and estimate spend.
A practical playbook to manage LLM costs in production: choose models wisely, cut tokens, batch and cache calls, use retrieval over generation, and estimate spend.
A hands-on checklist to reduce hallucinations in retrieval-augmented generation (RAG), with concrete prevention steps, reproducible tests, code/no-code examples, and onboarding tips.
Practical guide to picking vector stores, embedding types, chunking, similarity metrics, testing recipes, and cost-control tactics for reliable RAG systems.
A practical, low-data workflow to build an AI customer support bot: define scope, prepare small datasets, use RAG-lite or lightweight models, test guardrails, deploy.
A hands-on guide with reproducible tests, prompt templates, verification steps, and production guardrails to reduce LLM hallucinations across workflows.
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