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Viraj Mehta

CTO and co-founder of TensorZero, developing LLM gateways for managing interactions between applications and AI models. His expertise lies in reinforcement learning and data-efficient AI.

Top 3 podcasts with Viraj Mehta

Ranked by the Snipd community
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5 snips
Nov 19, 2024 • 1h 2min

When AI hits the wall, with Viraj Mehta, Cofounder of TensorZero

Viraj Mehta, co-founder of TensorZero, shares his expertise in building resilient AI systems. He discusses the messy realities of deploying large language models and the importance of effective data accumulation. The conversation dives into the pitfalls of seeking perfection, advocating for adaptable tools that thrive amidst chaos. Viraj also explores how principles from nuclear fusion can transform AI development, and the critical balance between simplicity and user empowerment in technology. His insights offer a refreshing perspective on navigating the future of AI.
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Jan 27, 2025 • 38min

E163: Using Feedback Loops to Optimize LLM-Based Applications

Viraj Mehta, Co-founder and CTO of TensorZero, discusses optimizing LLM applications through innovative feedback loops. He explains how these loops lead to smarter and faster models, showcasing practical applications like AI sales bots. The conversation delves into selecting suitable models and the potential monetization of 'recipes.' Viraj emphasizes the importance of community engagement and feedback in open-source projects, enhancing user education on LLM capabilities and optimizing technologies for better results.
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Jan 22, 2025 • 1h 3min

Optimize Your AI Applications Automatically With The TensorZero LLM Gateway

Viraj Mehta, CTO and co-founder of TensorZero, shares insights on optimizing AI applications with their innovative LLM gateways. He discusses how these gateways standardize communication and manage interactions between applications and AI models. The conversation dives into sustainable AI optimization and the challenges of integrating structured data inputs. Viraj also highlights the role of user feedback in enhancing AI interactions, as well as the architectural innovations that improve efficiency and usability for developers.