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This hands-on guide walks through every step of fine-tuning an Amazon Nova model with the Amazon Nova Forge SDK, from data preparation to training with data mixing to evaluation, giving you a repeatable playbook you can adapt to your own use case. This is the second part in our Nova Forge SDK series, building on the SDK introduction and first part, which covered kicking off customization experiments.
In this post, we demonstrate two approaches to fine-tune Amazon Nova Micro for custom SQL dialect generation to deliver both cost efficiency and production ready performance.
a quiet day lets us report on the death of the pull requests
a quiet day lets us reflect on work in the time of AI
a quiet day lets us give due respect to the enormously successful Gemma 4 launch
a quiet day lets us report an important GPU trend
Last year, AWS announced an integration between Amazon SageMaker Unified Studio and Amazon S3 general purpose buckets. This integration makes it straightforward for teams to use unstructured data stored in Amazon Simple Storage Service (Amazon S3) for machine learning (ML) and data analytics use cases. In this post, we show how to integrate S3 general purpose buckets with Amazon SageMaker Catalog to fine-tune Llama 3.2 11B Vision Instruct for visual question answering (VQA) using Amazon SageMaker Unified Studio.
a quiet day lets us reflect on the End of Sora, LiteLLM, AI2, and other not so happy news.
At KubeCon + CloudNativeCon Europe 2026 in Amsterdam, we're making announcements that reflect the goal of bringing the operational maturity of Kubernetes to today's workloads and demands. The post What’s new with Microsoft in open-source and Kubernetes at KubeCon + CloudNativeCon Europe 2026 appeared first on Microsoft Azure Blog .
In this post, we explain how P-EAGLE works, how we integrated it into vLLM starting from v0.16.0 (PR#32887), and how to serve it with our pre-trained checkpoints.
In this post, we explore how to fine-tune a leaderboard-topping, NVIDIA Nemotron Speech Automatic Speech Recognition (ASR) model; Parakeet TDT 0.6B V2. Using synthetic speech data to achieve superior transcription results for specialised applications, we'll walk through an end-to-end workflow that combines AWS infrastructure with the following popular open-source frameworks.
a quiet day lets us reflect on a central debate in AI engineering
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