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Nova Forge SDK series part 2: Practical guide to fine-tune Nova models using data mixing capabilities
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.
Cost-efficient custom text-to-SQL using Amazon Nova Micro and Amazon Bedrock on-demand inference
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.
[AINews] RIP Pull Requests (2005-2026)
a quiet day lets us report on the death of the pull requests
[AINews] Humanity's Last Gasp
a quiet day lets us reflect on work in the time of AI
[AINews] Gemma 4 crosses 2 million downloads
a quiet day lets us give due respect to the enormously successful Gemma 4 launch
[AINews] H100 prices are melting *UP*
a quiet day lets us report an important GPU trend
Accelerating LLM fine-tuning with unstructured data using SageMaker Unified Studio and S3
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.
[AINews] Apple's War on Slop
a quiet day lets us reflect on the End of Sora, LiteLLM, AI2, and other not so happy news.
What’s new with Microsoft in open-source and Kubernetes at KubeCon + CloudNativeCon Europe 2026
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 .
P-EAGLE: Faster LLM inference with Parallel Speculative Decoding in vLLM
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.
Fine-tuning NVIDIA Nemotron Speech ASR on Amazon EC2 for domain adaptation
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.
[AINews] Is Harness Engineering real?
a quiet day lets us reflect on a central debate in AI engineering
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