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The Problem No One Wants to Talk About Large language models have quietly become competitive machine translation systems. GPT-4, Claude, Gemini — they all translate between dozens of language pairs with fluency that often matches or exceeds dedicated MT systems like Google Translate or DeepL. For...
Building Effective AI Agents: Core Principles and Design Patterns AI agents represent a fundamental shift in how we interact with artificial intelligence. Rather than simple query-response systems, agents can reason, plan, use tools, and accomplish complex multi-step tasks autonomously. This...
Practical lessons from building production RAG systems, covering chunking strategies, hybrid search, reranking, and evaluation.
A comprehensive look at Anthropic's Claude 3.5 Sonnet, covering benchmarks, real-world performance, and practical applications.
An AI researcher documents replacing her production ML pipeline with open-source alternatives. Inference costs dropped 94% while quality decreased only 3%. Includes exact benchmarks, cost tables, and honest assessment of tradeoffs.