The Data Exchange with Ben Lorica
Monthly Roundup: New LLMs, GTC 2024, Constraint-Driven Innovation, Model Safety, and GraphRAG
Apr 18, 2024
Paco Nathan, Founder of Derwen, discusses updates on large language models and advancements in efficiency and scalability. Topics include Constraint-Driven Innovation, GTC 2024 highlights, and lessons from AI workload security exploits. Exciting discussions on model improvements, generative AI tools, and the importance of data engineering for AI safety.
37:01
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Quick takeaways
- Planning for future upgrades in large language models is essential for flexibility and efficiency.
- Proactive measures and ongoing monitoring are crucial to address security vulnerabilities in AI workloads.
Deep dives
Trends in Large Language Models
Continuous improvements in large language models are driving the need for flexibility in model usage, emphasizing the importance of planning for future upgrades and trends such as a mixture of experts approach for increased efficiency and cost-effectiveness.
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