Preparing data for supervised fine-tuning Part 2: Advanced data strategies | Amazon Web Services
Data preparation for supervised fine-tuning (SFT) doesn’t end when your dataset is clean and correctly formatted. The harder questions come…
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Data preparation for supervised fine-tuning (SFT) doesn’t end when your dataset is clean and correctly formatted. The harder questions come…
By Bruno Alvisio Publication Date: 2026-06-15 18:07:00 Foundation models are reshaping computational biology. Pretrained on massive corpora of protein or…
The EU AI Act requires organizations fine-tuning large language models (LLMs) to track computational resources measured in floating-point operations (FLOPs)…
Today, we’re sharing how Amazon Bedrock makes it straightforward to customize Amazon Nova models for your specific business needs. As…
In December 2025, we announced the availability of Reinforcement fine-tuning (RFT) on Amazon Bedrock starting with support for Nova models.…
Enterprises are increasingly shifting from relying solely on large, general-purpose language models to developing specialized large language models (LLMs) fine-tuned…
Our work with large enterprise customers and Amazon teams has revealed that high stakes use cases continue to benefit significantly…
Optimizing generative AI applications relies on tailoring foundation models (FMs) using techniques such as prompt engineering, RAG, continued pre-training, and…
Microsoft has announced a significant update for model fine-tuning in Azure AI Foundry. This environment already supported model adjustments, but…
Today, we’re excited to announce two major enhancements to model fine-tuning in Azure AI Foundry—Reinforcement Fine-Tuning (RFT) with o4-mini, coming…