Session Outline
Modern generative AI networks are growing in size and complexity to enhance accuracy and precision. As a consequence, such larger AI models result in reduced throughput and escalated memory needs. In the fast-paced landscape of AI, optimizing and scaling inferencing workloads becomes paramount. This enlightening talk at the Data Innovation Summit 2024, explores a solution to address this need, which involves optimizing AI models for performance and maximizing the utilization of available resources.
Key Takeaways
- Understand why it is essential to optimize performance of your LLMs.
- Learn specific techniques one can utilize to boost the performance of LLMs.
- Discover free to use software products instrumental for LLM performance optimization.
