OpenAI Fine-Tuning Update, Acceleration Debate, and Bundling AI Services

Nathan and Erik chat OpenAI GPT-3.5 fine tuning updates, using GPT 4 outputs to fine-tune 3.5, when to accelerate, and AI bundles. If you're looking for an ERP platform, check out our sponsor, NetSuite: http://netsuite.com/cognitive

We're hiring across the board at Turpentine and for Erik's personal team on other projects he's incubating. He's hiring a Chief of Staff, EA, Head of Special Projects, Investment Associate, and more. For a list of JDs, check out: eriktorenberg.com.

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TIMESTAMPS: (00:00) - Intro and GPT-3.5 fine tuning update (05:50) - Using GPT-4 to generate training data for GPT-3.5 (09:54) - Potential for training models on synthetic/cleaned data (10:24) - Using chain of thought prompts to improve model performance (15:02) - Sponsors: Netsuite | Omneky (19:39) - Accelerating applications vs new AI models (20:40) - What to accelerate vs what to slow down (26:07) - AI as a co-pilot vs fully automating tasks (30:12) - When to delegate to AI (36:40)- Displacement of human roles by AI systems (40:39) - Does training on synthetic data solve a problem? (45:10) - The idea of an AI bundle/subscription (50:28) - Bundling in other industries like cable and SaaS (54:27) - Churn and retention challenges for AI apps (01:02:54) - Low retention for easy-to-use AI apps (01:03:57) - Incentives for AI companies to join a bundle (01:04:39) - Potential for collaboration between AI companies (01:12:01) - Leading AI firms creating separate bundles (01:16:43) - Outro

Release date

Lydbog: 26. september 2023