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In this episode, we delve into the intricate world of AI inference with cofounders of Firework AI. Discover the strategies behind optimizing AI performance, the importance of balancing latency and throughput, and the nuances of different AI architectures from GPT-3 to Stable Diffusion. Learn about their partnership with Stability AI, their unique focus on reducing total cost of ownership, and their vision for a seamless developer experience.

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SPONSORS:
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Plumb is a no-code AI app builder designed for product teams who care about quality and speed. What is taking you weeks to hand-code today can be done confidently in hours. Check out https://bit.ly/PlumbTCR for early access.

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CHAPTERS :
(00:00:00) Introduction
(00:08:34) Compute Stack
(00:19:23) Fireworks Product Philosophy
(00:24:11) Sponsors : Brave / Omneky
(00:25:40) Fine-tuning Strategy
(00:38:40) Sponsors : Plumb / Squad
(00:41:37) NVIDIA Stack Overview
(00:47:14) TensorFlow Triton Service
(00:55:25) Reduced Precision Advantages
(01:03:57) Different Deployment Scenarios
(01:08:27) Seeking Intuition on Sharding
(01:28:28) Announcing Stability AI Partnership
(01:32:00) Closing Remarks