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Best Use Cases: Research, AI-powered documentation tools, and knowledge retrieval. Weaknesses: Requires precise promptengineering for optimalresults. TinyLlama & Phi-3Mini Overview: These ultra-lightweight models focus on mobile and embedded AI applications.
Prompting Rather than inputs and outputs, LLMs are controlled via prompts – contextual instructions that frame a task. Promptengineering is crucial to steering LLMs effectively. Embeddings Word embeddings represent words as dense vectors encoding semantic meaning, allowing mathematical operations.
In short, EDS is the problem of the widespread lack of a rational approach to and methodology for the objective, automated and quantitative evaluation of performance in terms of generative model finetuning and promptengineering for specific downstream GenAI tasks related to practical business applications. Galstyan A. Cresswell J.C.,
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