This research shows how flexible these models are: meta-prompting aids in decomposing complex tasks, engages distinct expertise, adopting a computational bias when using code in real-time which further enhances performance, then seamlessly integrates the varied outputs.
Rodrigo Liang: SambaNova and Generative AI in the Enterprise
An interview with SambaNova Systems CEO, Rodrigo Liang.
One of our research obsessions is Edge AI through which we study opportunities to build and deploy AI on a computing device at the edge of a network. The premise is that AI in the cloud benefits from scale but is challenged by cost and privacy and Edge AI solves many of these challenges by eliminating cloud computing costs and keeping data within secure environments.
Given this interest, we were excited to talk with Rodrigo Liang, the Co-Founder and CEO of SambaNova Systems which has built a platform to deliver enterprise grade chips, software, and models in a fully integrated system, purpose built for AI. In this interview, Rodrigo discusses how his company is enabling enterprises to adopt AI in a secure, customizable way that builds long-term value by building AI assets. Their full-stack solutions aim to simplify AI model building and deployment, especially by leveraging open source frameworks and using modular, fine-tuned expert models tailored to clients' private data.
- SambaNova Systems aims to help companies adopt AI technology, particularly in enterprise environments. It provides full-stack AI solutions including hardware, software, models, etc. to simplify adoption.
- The company’s offerings are designed to enable companies to leverage AI while maintaining data privacy and security. A modular approach provides the flexibility to adapt to diverse enterprise needs.
- SambaNova takes an "AI asset" approach focused on creating long-term value rather than just providing "AI tools." A focus on open source models provides diversity of technology while reducing vendor lock-in.
- The company’s software stack enables fine-tuning of granular models on customer data, creating a multitude of AI experts to serve the enterprise. Unlimited use encourages experimentation without the same cost challenges as public cloud AI.
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Thanks to Jonathan Coulton for our music