Gradient Dissent: Conversations on AI AI’s Future: Investment & Impact with Sarah Guo and Elad Gil
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Jan 18, 2024 
Join Sarah Guo and Elad Gil on a deep dive into the world of AI, exploring topics such as fine-tuning versus RAG in AI, evaluating AI research for investment, the impact of AI models on product development, AI's role in evolving job markets, code generation technologies in software engineering, AI's broader industry implications, importance of product-driven approaches in AI startups, AI's impact on traditional roles and industries.
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Code Generation Is Ahead Of The Curve
- Code generation is ahead of many other AI applications due to structured, highly ordered inputs that LLMs handle well.
- This makes CodeGen attract more attention and progress than messier, less structured domains.
Ship On GPT-4 Before Deep Research
- Ship simple products on GPT-4 quickly to learn what users actually need before building complex research features.
- Prioritize product-market fit over cutting-edge model research in many early-stage CodeGen companies.
Target Repetitive Engineering Pain Points
- Target engineering tasks that are repetitive, high-toil, and unloved (integrations, migrations, internal tools) for early CodeGen products.
- These tasks offer immediate product-market fit and defendable use cases for startups.