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.

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.

Speculative decoding can turn underused CPU compute into faster token generation, without changing the model's output. In our vLLM tests, DFlash delivered 3.92x the autoregressive throughput with Qwen3.5-9B on Intel Xeon 6 at concurrency 1. We break down where the speedup comes from, explain the acceptance metrics, and show what determines whether speculation pays off.

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.

A production account of scaling an enterprise integration pipeline from 500 to 8,000 events per second, and the two correctness guarantees the throughput work was never allowed to trade away.

The post How to Scale an Integration Pipeline Without Breaking Correctness appeared first on Towards Data Science.

People can accept tradeoffs when they see value — but if they don’t, what happens?

The post Understanding Anti-AI Public Opinion appeared first on Towards Data Science.

5 principles that determine whether an agent system succeeds in production, explained through one I built for a $100M+ company.

The post Building Enterprise Agent Systems that People can Trust, Verify and Improve appeared first on Towards Data Science.

How autonomous agents broke two decades of capacity planning — and what to build instead

The post Three Generations of Autoscaling — And Why Agentic Traffic Breaks All of Them appeared first on Towards Data Science.

Here's how to be the Data Scientist who thrives in a world where coding is a commodity.

The post How to Shine as a Data Scientist in the Vibe Coding Era appeared first on Towards Data Science.

Can a language model do live adversarial level design? Yes, emphasis on the adversarial part

The post I Made an LLM Lay Siege to My Minecraft House appeared first on Towards Data Science.

Image inputs and structured outputs with Gemma 4 and Ollama

The post Building Multimodal Workflows with a Local LLM appeared first on Towards Data Science.

Not all Python data libraries are created equal!

The post Should AI Developers Make the Switch from Polars to Pandas? appeared first on Towards Data Science.

How to diversify a budget without losing the shadow prices that explain the result

The post The Budget Split That Explains Itself appeared first on Towards Data Science.

I replayed the same 27 real production tasks through two local models, one hardware upgrade apart, to find out what it actually takes to replace Claude as the brain behind a 90-tool personal agent.

The post Can a Local LLM Run My AI Assistant? appeared first on Towards Data Science.