I Tried 100+ Claude Skills. These 6 Actually Changed How I Work.
Author(s): Divy Yadav Originally published on Towards AI. After testing more than 100 Claude Code skills, only six became part of my daily workflow. Here is what each one does. I built more than 100 Claude Code skills. Photo from AIThe author …
5 Python Frameworks That Put You Ahead of 90% of AI Beginners
Author(s): Divy Yadav Originally published on Towards AI. Not a list to memorize. The 5 real gaps that decide whether your AI project ships, or dies on your laptop. A beginner spent three weekends building an AI app that summarized PDFs. It …
Vibe Machine Learning: Using GenAI for ML, AI and R&D
Author(s): Artem Shelamanov Originally published on Towards AI. Vibe Machine Learning: Using GenAI for ML, AI and R&D The rise of AI tools has affected many people across different areas of IT. But the field that has been affected the most is, …
Building AI Agents Part 3C: Why Your Framework Choice Will Make or Break Your Production System
Author(s): Raj kumar Originally published on Towards AI. Why the framework that worked in your prototype will stall your production system The fintech team I mentioned in Part 3B (Testing and Evaluation Strategies for Production AI Agents) had built something impressive. Their …
Claude Code for Data Science Projects
Author(s): Rashmi Originally published on Towards AI. Why data science needs a different playbook Data science work has a structural problem that ordinary software engineering doesn’t: the artifact that matters most — the dataset — usually can’t live in context, can’t be …
Self-Hosting Airflow at Home: Automating Stock Price Data Collection
Author(s): FS Stance Originally published on Towards AI. Self-Hosting Airflow at Home: Automating Stock Price Data Collection One of the main goals of creating my home lab is to gain a deeper understanding of Machine Learning Operations (MLOps) and how to productionalize …
China’s Coding Model, Kimi K2.7 Code, is 6x Cheaper Than Claude. It also Grades Its Own Homework
Author(s): Kashif Mehmood Originally published on Towards AI. China’s Coding Model, Kimi K2.7 Code, is 6x Cheaper Than Claude. It also Grades Its Own Homework China’s best open-weight coder is here; it’s a fraction of the cost, and you cannot independently verify …
My EfficientNet Scored Worse Than Logistic Regression, Here’s What Changed…
Author(s): Pavankumar More Originally published on Towards AI. My EfficientNet Scored Worse Than Logistic Regression, Here’s What Changed… I spent several weeks on the Messy Mashup Kaggle competition, a music genre classification challenge where the test data sounds like someone threw ten …
Bagging vs Boosting: The Complete Beginner’s Guide to Ensemble Learning in Machine Learning
Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. From decision trees to Random Forest and XGBoost — everything explained simply, with real-life analogies, examples, and code. You’ve probably heard the saying: “Two heads are better than one.” After the introduction, the …
If You Understand These 21 Terms, You’ll Understand Almost Any AI Concept
Author(s): Tina Sharma Originally published on Towards AI. The gap between people who follow AI and people who don’t isn’t intelligence. It’s 21 words. Here is something that happens a lot. You open an article about a new AI model. The first …
The Unscented Kalman Filter
Author(s): Maxwell’s Demon Originally published on Towards AI. State estimation for a nonlinear system Every system that evolves with time has a state which is the set of quantities that describe it at a given moment. Examples are the position and velocity …
TOON: Beyond JSON for LLMs
Author(s): Sourav Ghosh Originally published on Towards AI. Is JSON Finally Getting a Token-Efficient Alternative for LLMs? For years, JSON has been the default language for APIs, integrations, configuration files, event payloads, and all other types of application-to-application communications. It is an …
7 Essential AI Agent Design Patterns
Author(s): Zoumana Keita Originally published on Towards AI. From Lone Models to Collaborative Systems: A Strategic Guide to Agentic Orchestration The world of AI is moving fast. We’ve gone from simple chatbots to AI Agents that can actually get things done. In …
How Local-First AI Architectures Address Compliance and Data Pipeline Issues in Modern Enterprises
Author(s): Isaac Mcfadden Originally published on Towards AI. How Local-First AI Architectures Address Compliance and Data Pipeline Issues in Modern Enterprises The enterprise AI agent I trust is not the flashiest demo. It is the one I can audit after it touches …
Prompt Caching Is the Most Underrated Cost Optimization in LLM Systems
Author(s): Satyam Sahu Originally published on Towards AI. I cut my API spend by 70% without changing a single model call. Here’s the architectural decision that made it possible. You’re probably doing cost optimization wrong. Photo by cottonbro studio on Pexels | …
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