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.

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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.

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