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Monday, 19 October 2026 Sign in

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Latest developments

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and model building with Amazon SageMaker Canvas Amazon Web Services · 1 month ago · 25

Introducing TabFM: A zero-shot foundation model for tabular data Google Research · 3 months ago · 13

Design Patterns in Machine Learning Code and Systems Eugene Yan · 4 years ago · 23

Timeline

Month Quarter Year

2026

Articles describe a three-part no-code workflow using Snowflake, Amazon SageMaker Canvas, and Amazon QuickSight to build and publish a fraud-detection dashboard with AI-generated executive summaries. Other

2022

12 Jun Design Patterns in Machine Learning Code and Systems

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Products & technology

Amazon SageMaker Canvas deploys this model · 1 source

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TLDRocket 19 October 2026

Nvidia’s latest open-model push set the tone for AI’s next phase: less “big chat,” more dependable agent infrastructure. Alongside its enterprise pitch, the company released Nemotron 3.5 Super VL, a 120-billion-parameter multimodal model aimed at always-on corporate agents, and followed with Nemotron 3.5 Bolt, a locally runnable, laptop-focused variant. Artificial Analysis reports Super VL lands 26 points on its 10-benchmark Intelligence Index while using about 60% less text than the prior Nemotron 3 Super—an efficiency bump that matters when tokens are your operating cost, not your poetry. Nvidia also shifted availability toward faster, leaner deployments, including new quantized variants and updated API token pricing designed for long-running workflows.

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