Eric Saleh

Agentic tool calling is what makes AI agents useful in production. It’s how they query databases, trigger workflows, retrieve real-time data, and act on a user’s behalf. But base models frequently hallucinate tools, pass bad parameters, and attempt actions when they should ask for clarification. These failures erode trust and block production deployment. You can use Serverless model customization in Amazon SageMaker AI to fix these problems without managing infrastructure.

Perspective, J Physiother Rehabi Vol: 8 Issue: 3 Eric Saleh* 1Department of Health and Rehabilitation, University of Gothenburg, Gothenburg, Sweden *Corresponding Author: Eric Saleh, Department of Health and Rehabilitation, University of Gothenburg, Gothenburg, Sweden E-mail: saleheri@c.sw Received date: 28 May, 2024, Manuscript No. JPTR-24-140179; Editor assigned date: 30 May, 2024, PreQC No. JPTR-24-140179 (PQ); Reviewed date: 13 June, 2024, QC No. JPTR-24-140179; Revised date: 21 June,...

We live in a world dictated by data. Businesses of all sizes are justifiably relying on data analytics to make decisions (called prescriptive analytics) because businesses can generally quantify their success. If they can measure their success (i.e., count their money), businesses can then measure the impact of decisions on their success. While this isn’t exactly breaking news, we’re hearing more and more about data analytics lately because: 1. More data is recordable than ever. 2.