The Anthropic Shockwave: Why Claude Code Security Just Nuked Cybersecurity Stocks
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. When an AI model does in minutes what human researchers couldn’t do in decades, the market doesn’t just notice: it panics. Here is the nuclear option nobody in Silicon Valley wanted to …
Training AI to Predict Clinical Trial Outcomes: A 30% Improvement in 3 Hours
Author(s): 3rdSon Originally published on Towards AI. Predicting whether a clinical trial will succeed or fail is notoriously difficult. Even experienced pharmaceutical analysts struggle with accuracy rates much better than a coin flip. But what if we could train an AI model …
Building a Simple SQL Query Generator Using LLMs
Author(s): Sainath Udata Originally published on Towards AI. Writing SQL is an art, but not everyone enjoys the canvas. For many, the syntax of a complex JOIN or a nested subquery is a barrier to getting the data they need. In our …
Cutting Batch Release from 14 Days to 3: A Case Study in Multi-Agent AI for Pharmaceutical Manufacturing
Author(s): Saif Ali Kheraj Originally published on Towards AI. How agentic AI architectures can compress decision cycles in regulated manufacturing with a practical implementation blueprint using CrewAI. Every contract pharmaceutical manufacturer faces the same operational bottleneck. After a medicine batch completes production …
JSON Tool Calling Is Dead. Here’s What Replaces It
Author(s): MKWriteshere Originally published on Towards AI. Anthropic just made code-based tool orchestration the default path forward. Hugging Face saw this coming in December 2024. Here’s a pattern you’ll notice if you watch the AI industry closely enough: the open-source community figures …
You probably don’t need a Vector Database (Yet) for your RAG
Author(s): Thomas Reid Originally published on Towards AI. Numpy and/or SciKit-Learn might meet all your retrieval needs Right now, off the back of Retrieval Augmented Generation (RAG), vector databases are getting a lot of attention in the AI world. Image by Nano …
OpenClaw Architecture Deep Dive: Building Production-Ready AI Agents from Scratch
Author(s): Know-Island Originally published on Towards AI. Dissecting the agent framework that hit 100K GitHub stars in a week — and had 400+ malicious plugins. Architecture patterns for building agents that actually work. OpenClaw went from zero to 100,000 GitHub stars in …
Top 20 Anomaly Detection Interview Questions and Answers (Part 2 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 27 Anomaly detection is the practice of identifying patterns in data that deviate from expected behavior. In an era where systems generate massive volumes of real-time data, detecting anomalies …
How I Used Sarvam AI’s Free API to Clone My Friend
Author(s): Shashwat Originally published on Towards AI. Why spend $20 on OpenAI when you can build a hyper-local, Hinglish-speaking roast bot for ₹0 using India’s newest LLM? This morning, I was staring at a Kubernetes deployment where the helm kept reconciling (brb, …
The 6 Essential Prompt Engineering Techniques: How to Get 10× Better Results from the Same LLM
Author(s): TANVEER MUSTAFA Originally published on Towards AI. Understanding Zero-Shot, Few-Shot, Chain-of-Thought, Self-Consistency, Tree of Thoughts, and ReAct You ask an LLM to analyze market trends. It gives a vague, generic response. Your colleague asks the same model with a different prompt …
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