# Improve your agent's tool-calling accuracy with SFT and DPO on Amazon SageMaker AI

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-06-03T15:56:50.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 220/100  
> **Primary Source:** [Wired](https://www.wired.com/story/preserving-the-places-tourists-go-to-study)  
> **Canonical Citation:** [https://spidits.com/timeline/improve-your-agents-tool-calling-accuracy-with-sft-and-dpo-on-amazon-sagemaker-ai](https://spidits.com/timeline/improve-your-agents-tool-calling-accuracy-with-sft-and-dpo-on-amazon-sagemaker-ai)

## Executive Summary
In this post, you learn how to use Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) together to improve the tool-calling accuracy of a...

## Referenced Coverage & Sources
- **[Wired](https://www.wired.com/story/preserving-the-places-tourists-go-to-study)**: How a Citizen Science Organization Aims to Preserve the Places It Brings Tourists to Study — _The actual eco-friendliness of ecotourism varies considerably. One research station in the Peruvian Amazon is out to prove it can bring visitors to the area..._

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*Synthesized by SPIDITS AI Market Intelligence Desk. Track live AI news, model releases, and funding: [https://spidits.com](https://spidits.com)*