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2 articles across 2 sub-topics
TLDR: š§ Choosing the right LLM can save you 80% on costs while maintaining quality. This guide provides a decision framework, cost comparison, and practical examples to help engineering teams select between GPT-4o, Claude, Llama, and Mistral based o...
TLDR: š§ Context windows are LLM memory limits. When conversations grow past 4K-128K tokens, you need strategies: sliding windows (cheap, lossy), summarization (balanced), RAG (selective), map-reduce (scalable), or selective memory (precise). LangCha...
