Trends Artificial Intelligence
Growth Over Nine Years of… Compute Gains from Better Algorithms Led To… Note: Estimates how much progress comes from bigger models versus smarter algorithms, based on how much computing power you'd need to to reach top performance without any improvements. Source: Epoch AI (3/24) Impact of Improved Algorithms on AI Model Performance – 2014-2023, per Epoch AI Effective Compute (Relative to 2014) +200% …AI’s power demands are increasing – and its progress is increasingly bottlenecked not by data or algorithms, but by the grid and strains related to demand. While AI presently places considerable demands0 码力 | 340 页 | 12.14 MB | 5 月前3
DeepSeek-V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language Modelparallel all-to-all communication. We also customize faster CUDA kernels for communications, routing algorithms, and fused 12 1K 12K 24K 35K 47K 58K 70K 81K 93K 104K 116K 128K Context Length (#Tokens) 00 码力 | 52 页 | 1.23 MB | 1 年前3
OpenAI 《A practical guide to building agents》manager_agent,msg) message orchestrator_output.new_messages: (f" - {message.content}") async def for in print "Translate 'hello' to Spanish, French and Italian for me!" Translation step: Declarative 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 from import from import class str async def ( "Churn Detection Agent" "Identify if the user message indicates a potential run(customer_support_agent, "Hello!") ("Hello message passed") [None] input: str list await input return async def await print "Customer support agent", "You are a customer support agent. You help customers0 码力 | 34 页 | 7.00 MB | 6 月前3
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