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 small language model (SLM). The example uses Amazon SageMaker A…
New models reset the capability and price-performance frontier. Teams re-evaluate what to build on whenever a launch shifts what's possible per dollar.
Companies and models mentioned in this story — open their pages and live prices
Summaries are aggregated for information only — follow the source link for the full story. Demo entries are illustrative.