Quick and simple tips to help you write better agent instructions

The post 8 Tips for Writing Effective Agent Instructions appeared first on Towards Data Science.

How to apply the latest context engineering guidelines to your day-to-day data science work

The post Context Engineering Is Changing. Here’s What It Means for Data Scientists appeared first on Towards Data Science.

As AI handles more of the execution, what work should belong to agents vs humans and why does that distinction matter?

The post Agentic AI Is Rewriting The Analytics Stack But There's One Skill It Still Can't Touch appeared first on Towards Data Science.

A practical guide to getting better code, not just more code

The post How to Work with AI Coding Agents appeared first on Towards Data Science.

Why most agents are just flowcharts in disguise, and what to build instead.

The post Is Agentic AI Just Automation? appeared first on Towards Data Science.

Watermarks act at the model’s moments of doubt, and so do the safety checks that catch AI mistakes

The post Hallucinations, Watermarks, Removers, and a Squeezed Balloon appeared first on Towards Data Science.

How DFlash trades spare compute for saved memory bandwidth, and why its gains shrink as concurrency rises

The post Speculative Decoding on CPUs: Nearly 4x Faster Token Generation with DFlash appeared first on Towards Data Science.

LoRA fine-tuning solved our under-labeling problem. Whether it makes sense for you depends on three questions.

The post Why We Fine-Tuned SigLip (And Why That’s Not Always the Right Call) appeared first on Towards Data Science.

A walkthrough of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training

The post Estimating from No Data: Deriving a Continuous Score from Categories appeared first on Towards Data Science.