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cs.AI2024
Assessing Economic Viability: A Comparative Analysis of Total Cost of Ownership for Domain-Adapted Large Language Models versus State-of-the-art Counterparts in Chip Design Coding Assistance
Amit Sharma, Teodor-Dumitru Ene, Kishor Kunal +3
This paper presents a comparative analysis of total cost of ownership (TCO) and performance between domain-adapted large language models (LLM) and state-of-the-art (SoTA) LLMs , wi…
cs.CL2024
NICE: To Optimize In-Context Examples or Not?
Pragya Srivastava, Satvik Golechha, Amit Deshpande +1
Recent work shows that in-context learning and optimization of in-context examples (ICE) can significantly improve the accuracy of large language models (LLMs) on a wide range of t…