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1:09:09EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月2日播客30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually Think主持 Nathan LabenzAlistair Pullen tells Latent Space how Cosine reconstructed human problem-solving, fine-tuned on billions of tokens, and took the top score on software engineering’s hardest public test.编程智能体智能体工程微调+3
1:01:39EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月13日播客GPT-5 Wants 100 Trillion Tokens. Does Earth Have Enough?主持 Nathan LabenzTraining GPT-3 took about a trillion tokens; GPT-4 took about ten trillion. The next jump is a data question as much as a compute one.模型与训练Scaling LawsSynthetic data+3
1:21:50EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月14日播客A 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.主持 Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.模型与训练Synthetic dataData quality & curation+3
1:17:09EN
Cognitive Revolution "How AI Changes Everything"· 2023年9月26日播客GPT-4 as Teacher, GPT-3.5 as Student: A Nine-Tenths Cost Cut and an AI Bundle Nobody Will Start主持 Nathan LabenzNathan Labenz reports that chain-of-thought traces from GPT-4 train a cheaper, faster 3.5, then argues for flooring the app accelerator, tapping the brake on GPT-5, and bundling a hundred AI tools for a hundred dollars.企业与战略微调Synthetic data+3
2:00:19EN
Cognitive Revolution "How AI Changes Everything"· 2023年6月6日播客1.5 Million GPT-4 Fairy Tales Let a 33-Million-Parameter Model Out-Reason GPT-2主持 Nathan LabenzTry this fill-in: Lily likes cats and dogs. She asked her mom for a dog. Mom said no, so she asked for a…模型与训练Synthetic dataData quality & curation+3