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Decoding is bound by memory bandwidth, not arithmetic, which is the gap speculative decoding exploits. How draft-and-verify keeps the output distribution intact, why acceptance rate collapses as you speculate further ahead, and what recent measurement says about heavy load.
Split 1 agent into several and you inherit a new question: who decides what runs next? Handoffs are tool calls underneath, supervisors and swarms differ only in whether control returns to a center, and the coordination overhead runs about 15 times a chat in tokens.
Q4_K_M, GPTQ-4bit, AWQ: the names encode 2 separate choices, and the format matters more than the bit count. Measured quality by level on Llama-3.1-8B, the memory math including the KV cache, and which formats your hardware can actually run.
Someone improves a prompt on Tuesday and the pipeline mislabels documents by Thursday, with no diff, no test run, and no way to connect the 2 events. The fix is 3 disciplines applied to text: version the bundle (template, examples, tool descriptions, model ID, parameters), run
Most small businesses decide what data may reach their AI tools retroactively, when a client asks. Eleven lessons on the inventory, the three data tiers, what zero retention actually covers, and why the model is rarely the leak.
Local is free is the sentence that starts most bad local-LLM projects. Eleven lessons on naming a real reason, the costs that never appear on an invoice, sizing hardware to the model, proving privacy properly, and knowing when to give it back.
