January 2026

Tencent Hunyuan’s 3D Digital Human team has released HY-Motion 1.0, an open weight text-to-3D human motion generation family that scales Diffusion Transformer based Flow Matching to 1B parameters in the motion domain. The models turn natural language prompts plus an expected duration into 3D human motion clips on a unified SMPL-H skeleton and are available on GitHub and Hugging Face with code, checkpoints and a Gradio interface for local use. https://arxiv.org/pdf/2512.23464 What HY-Motion 1.0 provides for developers? HY-Motion […]

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Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do not change the destination, only the path. Each method adds a mechanism that fixes a limitation of the previous one, making the movement faster, more stable, or more adaptive. The goal stays the same. The update becomes smarter. The post The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel appeared first on Towards Data Science.

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Understanding retrieval in RAG systems by experimenting with different chunk sizes The post Chunk Size as an Experimental Variable in RAG Systems appeared first on Towards Data Science.

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Five key learnings that I discovered during a programming challenge and how they apply to data science The post What Advent of Code Has Taught Me About Data Science appeared first on Towards Data Science.

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From simple chat to multi-agent reasoning and real-time REST APIs The post Production-Ready LLMs Made Simple with the NeMo Agent Toolkit appeared first on Towards Data Science.

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