OpenAI Assistants API: Building Stateful AI Agents with Code Interpreter and File Search

Introduction: OpenAI’s Assistants API, launched at DevDay 2023, represents a significant evolution in how developers build AI-powered applications. Unlike the stateless Chat Completions API, Assistants provides a managed, stateful runtime for building sophisticated AI agents with built-in tools like Code Interpreter and File Search. The API handles conversation threading, file management, and tool execution, allowing […]

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LLM Cost Optimization: Reducing API Spend Without Sacrificing Quality (Part 1 of 2)

Introduction: LLM API costs can spiral quickly—a chatbot handling 10,000 daily users at $0.01 per conversation costs $3,000 monthly. Production systems need cost optimization without sacrificing quality. This guide covers practical strategies: semantic caching to avoid redundant calls, model routing to use cheaper models when possible, prompt compression to reduce token counts, and monitoring to […]

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LLM Evaluation: Metrics, Benchmarks, and A/B Testing

Introduction: Evaluating LLM outputs is challenging because there’s often no single “correct” answer. Traditional metrics like BLEU and ROUGE fall short for open-ended generation. This guide covers modern evaluation approaches: automated metrics for specific tasks, LLM-as-judge for quality assessment, human evaluation frameworks, A/B testing in production, and building comprehensive evaluation pipelines. These techniques help you […]

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