Running LLM Models locally with Docker
Author(s): Kushal Banda Originally published on Towards AI. If you’ve been building AI applications recently, you’re likely familiar with the friction of managing API keys, tracking usage costs, and relying on cloud endpoints like OpenAI or Anthropic. But what if you could …
Anthropic Shipped Its Best Features Yet. Then, Got Banned by the US Government.
Author(s): Adham Khaled Originally published on Towards AI. Recurring tasks, remote code sessions, a Pentagon ultimatum, a federal ban, and a retired AI with a Substack — all in seven days. If you had Cowork open, you got a notification: Claude can …
The Death of Context Switching: Building an AI Controller with MCP Servers
Author(s): Ritesh Meena Originally published on Towards AI. Part 2 : Skip the Theory. Here’s What We Actually Built. A technical deep-dive into the architecture that made our development workflow 10x faster We connected an AI coding agent to 5 MCP servers …
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 …
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 …
The 4 AI Safety Alignment Approaches: How to Build AI That Won’t Lie, Harm, or Manipulate
Author(s): TANVEER MUSTAFA Originally published on Towards AI. Understanding RLHF, Constitutional AI, Red Teaming, and Value Learning You ask ChatGPT how to make a bomb. It refuses. You ask it to write a racist joke. It declines. You try jailbreaking it with …
AI Transforms Data Quality Engineering for Modern Enterprise
Author(s): Valentin Podkamennyi Originally published on Towards AI. Explore how AI-augmented data quality engineering is revolutionizing enterprise data platforms by shifting from rule-based to self-learning systems. Modern enterprise data platforms are characterized by their petabyte scale, the ingestion of fully unstructured data …
LAI #115: The Hidden Cost of “Agent-First” Thinking
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! AI is getting embedded into real workflows: repos, data platforms, enterprise search, and production infrastructure. And as that happens, a pattern is showing up everywhere: the biggest failures …
101 ML/LLM/Agentic AIOPS Interview Questions.
Author(s): Niraj Kumar Originally published on Towards AI. Image by Author Section 1: Technical & Hands-On (ML/AI & MLOps) These questions test your foundational knowledge of MLOps, regardless of the cloud platform. 1. Describe the most complex ML project you’ve taken from …
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