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Performance: Expected to provide strong general-purpose AI capabilities with improved efficiency. Best Use Cases: AI-powered agents, virtual assistants, and automation tools. Best Use Cases: Research, AI-powered documentation tools, and knowledge retrieval.
Prompting Rather than inputs and outputs, LLMs are controlled via prompts – contextual instructions that frame a task. Promptengineering is crucial to steering LLMs effectively. Cohere provides a studio for automating LLM workflows with a GUI, REST API and Python SDK.
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.
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