Small Language Models use fine-tuning, quantization, RAG and local deployment to reduce cost, latency and privacy risks while supporting specialized applications such as Greek labor-law assistance. (IMAGE)

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Small Language Models use fine-tuning, quantization, RAG and local deployment to reduce cost, latency and privacy risks while supporting specialized applications such as Greek labor-law assistance.

Caption

Small Language Models use fine-tuning, quantization, RAG and local deployment to reduce cost, latency and privacy risks while supporting specialized applications such as Greek labor-law assistance.

Credit

Christos Kotrotsios and Manolis Vavalis/Department of Electrical and Computer Engineering, University of Thessaly

Usage Restrictions

Credit must be given to the creator.

License

CC BY

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