Dive into a thought-provoking discussion on the future of AI investment and impact with Gradient Dissent host Lukas Biewald and guests Elad Gill and Sarah Guo from the No Priors podcast. Explore the nuanced world of AI, focusing on its broader industry implications and how startups can effectively blend product-centric approaches with innovation and practical development. Gain insights from Sarah Guo, founder of the AI-centric Conviction VC, and Elad Gill, a seasoned entrepreneur and startup investor with an impressive portfolio. Delve into topics such as fine-tuning vs. RAG in AI, evaluating AI research for investment, the impact of AI models on product development, AI's role in evolving job markets, and the balance between AI research and product development. Examine code generation technologies in software engineering, the importance of product-driven approaches in AI startups, AI applications across various sectors, and the debate between open-source and proprietary AI models. Understand AI's potential impact on traditional roles and industries in this comprehensive exploration of AI's future landscape.
AI's Future: Investment and Impact in Startups and Industry
Overview
Syllabus
- Introduction
- Exploring Fine-Tuning vs RAG in AI
- Evaluating AI Research for Investment
- Impact of AI Models on Product Development
- AI's Role in Evolving Job Markets
- The Balance Between AI Research and Product Development
- Code Generation Technologies in Software Engineering
- AI's Broader Industry Implications
- Importance of Product-Driven Approaches in AI Startups
- AI in Various Sectors: Beyond Software Engineering
- Open Source vs Proprietary AI Models
- AI's Impact on Traditional Roles and Industries
- Closing Thoughts
Taught by
Weights & Biases
