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Episode 12 - Leaked Google Strategy Memo, Open Source, AI Value Chains
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内容由Jeff Hwang and Seymour Duncker提供。所有播客内容（包括剧集、图形和播客描述）均由 Jeff Hwang and Seymour Duncker 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
Jeff and Seymour briefly discuss Google I/O which happened last week including the release of PaLM 2. Most of the episode is spent on the strategic and ecosystem implications of an internal Google strategy memo and the impact of open source. They also discuss AI Supply Chains in the context of a series of MIT blog posts from April. Finally, they draw analogies from earlier eras of tech history including the rise of the PC industry and IBM/Oracle's relationship with Linux in the late 20th century. Links:
- Jordan Burgess pushes back on Google strategy memo
- Andrej Karpathy's perspective
- Andrej's overall view of current LLM landscape which is similar to Jeff and Seymour's four part framework of understanding gen AI: (1) pre-trained foundation model; (2) fine-tuning; (3) whole product / end user UX; and (4) distribution
- Examples of fine-tuning methods: (1) RHLF; (2) LoRA; (3) LLaMA Adaptor
- Explanation of quantization to make foundation models lighter weight
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