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LLM economics The Cost of leveraging Large Language Models
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Speaker:
Nikunj Bajaj
CEO & Cofounder, TrueFoundry
Abstract:
Most of us are using LLMs and some of us are getting to the point where LLMs are going to production. Honeymoon phase is going to get over soon and practical realities like cost & maintainability are going to become mainstream.
However, the cost of running LLMs is not well understood or often not put in perspective. In this talk we will dive deep into what type of costs are involved in building LLM based apps. How do these compare when you run RAG vs Fine tuning, what happens when you use Open Source vs Commercial LLMs?
Spoiler- If you wanted to summarize the entire Wikipedia to half its size using GPT-4 8k context window, it would cost a whopping $360K!
Nikunj Bajaj
CEO & Cofounder, TrueFoundry
Abstract:
Most of us are using LLMs and some of us are getting to the point where LLMs are going to production. Honeymoon phase is going to get over soon and practical realities like cost & maintainability are going to become mainstream.
However, the cost of running LLMs is not well understood or often not put in perspective. In this talk we will dive deep into what type of costs are involved in building LLM based apps. How do these compare when you run RAG vs Fine tuning, what happens when you use Open Source vs Commercial LLMs?
Spoiler- If you wanted to summarize the entire Wikipedia to half its size using GPT-4 8k context window, it would cost a whopping $360K!
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