Does size really matter? (LLMs vs. SLMs)

Reddit r/artificial News

Summary

Discusses the trade-offs between large language models (LLMs) and small language models (SLMs), questioning whether larger models are always necessary for production use cases and exploring the future of AI deployment.

If an SLM can effectively handle a specific business need while reducing costs, latency, and deployment constraints, what is the benefit of using an LLM in production? Will LLMs eventually be mainly reserved for research, complex tasks, and distillation, while specialized SLMs power most business applications? Do you have concrete examples of use cases suited to each type of model? And where do you think the future of AI lies: with LLMs or SLMs? https://preview.redd.it/8l7ai1qqxcch1.png?width=1440&format=png&auto=webp&s=5a7ff9a4d13937f8d8c107a2c3b5a30463bcf93b
Original Article

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