Claude Skills and Subagents: Escaping the Prompt Engineering Hamster Wheel
How reusable, lazy-loaded instructions solve the context bloat problem in AI-assisted development.
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Scaling ML Inference on Databricks: Liquid or Partitioned? Salted or Not?
A case study on techniques to maximize your clusters
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You must have faced the never-ending wait of an AI model taking its time to answer your query. To put an end to this wait, the new Mercury 2 reasoning model of Inception Labs is now live. It works a bit differently from others. It employs diffusion to provide quality answers at nearly instant speed....
Can LLM Embeddings Improve Time Series Forecasting? A Practical Feature Engineering Approach
Using large language models (LLMs) — or their outputs, for that matter — for all kinds of machine learning-driven tasks, including predictive ones that were already being solved long before language models emerged, has become something of a trend.
Google Launches Nano Banana 2: Learn All About It!
Nano Banana! The image model that took the world by storm just got eclipsed by…itself. Yes! Google did it again. After establishing standards by their release of Nano banana, they are back with its high anticipated follow-up: Nano Banana 2 (officially designated as Gemini 3.1 Flash Image). This new ...
Nano Banana 2: Google’s latest AI image generation model
Nano Banana! The image model that took the world by storm just got eclipsed by…itself. Yes! Google did it again. After establishing standards by their release of Nano banana, they are back with its high anticipated follow-up: Nano Banana 2 (officially designated as Gemini 3.1 Flash Image). This new ...
Designing Data and AI Systems That Hold Up in Production
A system-level perspective on architecture, agents, and responsible scale
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A practical guide to identifying, restoring, and transforming elements within your images
The post Detecting and Editing Visual Objects with Gemini appeared first on Towards Data Science.
Scaling Feature Engineering Pipelines with Feast and Ray
Utilizing feature stores like Feast and distributed compute frameworks like Ray in production machine learning systems
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Breaking the Host Memory Bottleneck: How Peer Direct Transformed Gaudi’s Cloud Performance
Engineering RDMA-like performance over cloud host NICs using libfabric, DMA-BUF, and HCCL to restore distributed training scalability
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Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms
Understanding the foundational distortion of digital audio from first principles, with worked examples and visual intuition
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Optimizing Token Generation in PyTorch Decoder Models
Hiding host-device synchronization via CUDA stream interleaving
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A deep dive into the Sharpness-Aware-Minimization (SAM) algorithm and how it improves the generalizability of modern deep learning models
The post Optimizing Deep Learning Models with SAM appeared first on Towards Data Science.
Lag Features and Rolling Features in Feature Engineering
The success of machine learning pipelines depends on feature engineering as their essential foundation. The two strongest methods for handling time series data are lag features and rolling features, according to your advanced techniques. The ability to use these techniques will enhance your model pe...
AI has quietly created a new category of high-paying jobs. Not just for engineers, but for people who know how to use it well. These are real roles, hired by companies like Google, OpenAI, Microsoft, and fast-growing startups. None of them require you to write code. What matters is how well you can ...
Inside the research that shows algorithmic price-fixing isn't a bug in the code. It's a feature of the math.
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Use Claude Code to quickly build completely personalized applications
The post Build Effective Internal Tooling with Claude Code appeared first on Towards Data Science.
Who has ever had a great idea about an application, only to be confronted with the reality of the development dread, which may take weeks, or even months. The path between the idea and a working product can be tiresome. Imagine that you could fit that whole procedure into the amount of time you spen...
Data Storytelling using AI: 5 Techniques to Present AI-Generated Insights
AI can generate insights faster than any analyst ever could. But speed isn’t the problem anymore. The real problem is value. In 2026, the gap isn’t between companies that use AI and those that don’t. It’s between those who can explain AI-generated insights clearly and those who just copy-paste model...
5 Essential Design Patterns for Building Robust Agentic AI Systems
Build robust AI agents with design patterns for ReAct loops, multi-agent workflows, and state management essential for moving from prototype to reliable production.