Key Principles for Running LLMs in Production

How to maximizing LLM Impact with tailored Generative AI solutions for diverse sectors
Shaked Zychlinski
Shaked Zychlinski
AI Architect, CTO Office at JFrog
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As Large Language Models (LLMs) such as GPT and Llama become increasingly integrated into various sectors, including technology, finance, healthcare, and customer service, the need for robust, scalable, and cost-effective strategies has never been more critical. Yet, Generative AI solutions develop faster than anything we've seen before, leaving decision-makers baffled with the myriad different options to choose from on one hand, and the "need for speed" launching GenAI-based products on the other. In this talk, we'll explore the different types of LLM products, explaining which one fits who and for which use-cases. We'll also discuss some key principles to consider when planning your first LLM-based product. Through this presentation, attendees will gain a comprehensive understanding of the multifaceted approach required to successfully deploy and manage LLMs in production, ensuring they fit the product and company in the best way possible.

As Large Language Models (LLMs) such as GPT and Llama become increasingly integrated into various sectors, including technology, finance, healthcare, and customer service, the need for robust, scalable, and cost-effective strategies has never been more critical. Yet, Generative AI solutions develop faster than anything we've seen before, leaving decision-makers baffled with the myriad different options to choose from on one hand, and the "need for speed" launching GenAI-based products on the other. In this talk, we'll explore the different types of LLM products, explaining which one fits who and for which use-cases. We'll also discuss some key principles to consider when planning your first LLM-based product. Through this presentation, attendees will gain a comprehensive understanding of the multifaceted approach required to successfully deploy and manage LLMs in production, ensuring they fit the product and company in the best way possible.

Qwak optimizes AI in production

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Lightricks
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ONE ZERO BANK
“We ditched our in-house platform for Qwak. I wish we had found them sooner.”
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