OpenAI Python SDK como contar Tokens tiktoken Español machine...
OpenAI Python SDK como contar Tokens tiktoken Español machine...
9 months ago
open.video
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If Anthropic is 8x short on compute, Opus is relatively well given each inference request is allocated 1/8 the compute it’s should get. Anthropic is doing some combination of:1. Reducing the tokens count per inference request by pruning each chain of thought. 2. Quantize computation for each token aka lower quality of each token.Anthropic is competing with OpenAI like a basketball player in sandals and to no software developer’s surprise OpenAI has taken the lead.
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This Chinese developer launched Llama 70B locally on a MacBook on a plane and for a full 11 hours without internet ran client projects.He was sitting by the window on a transatlantic flight with a MacBook Pro M4 with 64 GB of memory. WiFi on board cost $25 for the flight. He declined.No cloud API, no connection to Anthropic or OpenAI servers, no internet at all.Just a local Llama 3.3 70B on bf16 and his own orchestrator script.The model runs through llama.cpp. Generation speed, 71 tokens per sec
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