The Power of Hybrid AI in Smaller Language Models(SLMs)
Smaller models, on the other hand, might revolutionise next-generation AI capabilities for mobile devices
The unique class of AI models driving this new paradigm are called LLMs. NLP, or natural language processing, makes this possible
Retrieval augmentation generation, or the RAG pattern, is a technique for adding one’s own data to an LLM
Smaller models would be more appropriate for them, even though normal gen AI scenarios and use cases can and can benefit them
This leads us to the conclusion that smaller is preferable. Small Language Models (SLMs) that are “smaller” than LLMs are now available
SLMs may even be able to operate at scale on a single GPU chip, saving thousands of dollars in annual computational expenses
The majority of businesses dislike having their data stored in the cloud. Performance is another important factor
Telcos could provide this option to their customers and host these SLMs at their base stations
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