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Getting reliable, readable responses out of your LLM, and knowing which tool to reach for The post Structured Outputs with LLMs: JSON Mode, Function Calling, an

Most LLM applications need a clear workflow, not an autonomous agent. Here's how to build one in plain Python. The post You Probably Don’t Need an Agent Framewo

Enterprise Document Intelligence [Vol.1 #6b] - The five field families the parser reads straight from the user’s question, with the code that fills each one The

Increase productivity with your LLMs The post How to Effectively Align with Claude Code appeared first on Towards Data Science .

Without these, Claude will be confidently wrong. The post 4 Lines You Should Include in Your Claude Skill appeared first on Towards Data Science .

Enterprise Document Intelligence [Vol.1 #5quater] - The other parsers read the words on a page. A vision model also reads the pictures The post Vision LLMs are

A systems-level deep dive into the hidden microarchitectural costs of Kubernetes GPU time-slicing, and what it actually costs to co-locate Agentic AI workloads.

A story about a broken printer, visual inductive bias, and why the race endedin a tie. The post Is Language Visual? An Experiment with Chinese Characters appear

This is how LLMs are used today to increase precision in recommendation systems The post Increase Recommendation Systems’ Precision with LLMs, Using Python appe

In Part 1 of this series, we introduced Chronos-2, a time-series foundation model. We got our hands dirty by walking through a real case study and saw what Chro

A look at the real-world value of online graduate AI programs, combining hard data with firsthand experience of a big tech machine learning engineer The post Is

Enterprise Document Intelligence [Vol. 1 #1] The smallest version of RAG that actually works, on a real PDF, with grounded answers and the source lines highligh

A retrospective on my MS thesis, the leaderboard it placed on, and the LLM shift that has reshaped the field since. The post EmoNet: Speaker-Aware Transformers

A practitioner's warning about generated variables in causal analysis The post LLM Themes Are Not Observations appeared first on Towards Data Science .

Most LLM failures in production aren’t random — they’re predictable. I kept hitting broken JSON, silent failures, and outages that froze my entire app. Prompt e

How unlearning fixes mode collapse in synthetic survey replies The post Can LLMs Replace Survey Respondents? appeared first on Towards Data Science .

Why production LLM systems need live web search to overcome knowledge cutoffs and stale training data The post Grounding LLMs with Fresh Web Data to Reduce Hall

Most LLM evaluation systems rely on vague scoring and human judgment disguised as metrics. I built a lightweight evaluation layer in pure Python that turns LLM

Learn how to make your Claude Code improve over time The post How I Continually Improve My Claude Code appeared first on Towards Data Science .

From a Chinese prompt to a Korean response: an embedding-space investigation into how code vocabulary reshapes language The post Why My Coding Assistant Started

How to build a decision-grade scorecard for AI agents The post Stop Evaluating LLMs with “Vibe Checks” appeared first on Towards Data Science .

A practical comparison between rule-based PDF extraction using “pytesseract” and an LLM-based approach with “Ollama” and “LLaMA 3”, based on a realistic B2B ord

Why learn 8 scripts when you can learn 256 bytes? The post Bytes Speak All Languages: Cross-Script Name Retrieval via Contrastive Learning appeared first on Tow

How I turned LLM persona interviews into a repeatable customer research workflow The post From Ad Hoc Prompting to Repeatable AI Workflows with Claude Code Skil