The Current Landscape of Language Models and Approaches

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The open source community is working on fewer than 10 major language models that receive daily updates. Instead of competing with general purpose models, many are focusing on developing smaller, specialized models. This approach is seen as more efficient and cost-effective. Large language models are being targeted by vertical-specific models and open source contributions. The goal is to create smaller and more efficient models with fewer parameters. The energy and compute requirements of large models are a significant concern. The cost of running a cluster of thousands of GPUs can be substantial.

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Today’s show:

Bill Gurley and Sunny Madra join Jason to discuss open-source AI vs. proprietary AI (1:12), friends and foes of open-source AI (5:42), and strategic choices companies make between open and closed approaches (9:48). Then, Sunny demos more AI tools (22:45), and much more!

Time stamps:

(0:00) Sunny Madra joins Jason

(1:12) Bill Gurley joins to break down open-source vs. proprietary AI

(5:42) Friends and foes of open-source AI

(8:17) LinkedIn Marketing - Get a $100 LinkedIn ad credit at https://linkedin.com/thisweekinstartups

(9:48) Strategic choices companies make between open and closed approaches

(21:37) Vanta - Get $1000 off your SOC 2 at https://vanta.com/twist

(22:45) Sunny demos LLaVA: Large Language and Vision Assistant

(29:56) CLA - Get started with CLA's CPAs, consultants, and wealth advisors now at https://claconnect.com/tech

(31:00) Sunny breaks down parameter models

(38:56) Companies manufacturing their own chips

(42:26) Sunny demos Mistral AI