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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...
Learn how to build AI agents that can reason, plan, and execute complex tasks. Covers architecture, design patterns, and best practices.
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.