"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis AI Inference: Good, Fast, and Cheap, with Lin Qiao & Dmytro Ivchenko of Fireworks AI
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Apr 20, 2024 
Lin Qiao and Dmytro Ivchenko, co-founders of Fireworks AI, share insights on advancing AI inference. They discuss strategies for optimizing latency and performance while balancing cost efficiency. The duo highlights their collaboration with Stability AI and the significance of user-centered products in easing developer challenges. They also explore the innovative LoRa method for fine-tuning AI models, and the shifts from traditional to deep learning frameworks, alongside the impact of GPU programming on AI performance. Tune in for a deep dive into the future of AI technology!
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Focus on Value-Add Services
- Reselling hardware is a low-margin business, so Fireworks.ai focuses on value-add services.
- They prioritize low latency, high quality, and low total cost of ownership (TCO) for generative AI inference.
Prioritize Performance over Low Cost
- Don't solely focus on low cost; prioritize latency, quality, and TCO.
- Low TCO is often a byproduct of high performance.
Simplifying Generative AI for Developers
- Generative AI application developers face challenges in model selection, optimization, and cost justification.
- Fireworks.ai aims to abstract these complexities, allowing developers to focus on product development.