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Measles cases are rising. Other vaccine-preventable infections could be next.

There’s a measles outbreak happening close to where I live. Since the start of this year, 34 cases have been confirmed in Enfield, a northern borough of London. Most of those affected are children under the age of 11. One in five have needed hospital treatment. It’s another worrying development for an incredibly contagious and potentially…

Coca-Cola turns to AI marketing as price-led growth slows

Shifting from price hikes to persuasion, Coca-Cola’s latest strategy signals how AI is moving deeper into the core of corporate marketing. Recent coverage of the company’s leadership discussions shows that Coca-Cola is entering what executives describe as a new phase focused on influence not pricing power. According to Mi-3, the company is changing its focus […] The post Coca-Cola turns to AI marketing as price-led growth slows appeared first on AI News.

The 6 Essential Prompt Engineering Techniques: How to Get 10× Better Results from the Same LLM

Last Updated on February 21, 2026 by Editorial Team 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 — receives a detailed, actionable analysis worth consulting fees. Same model, radically different results. The difference? Prompt engineering. Image generated by Author using AIThis article explores six essential prompt engineering techniques, detailing how each technique can drastically improve results when interacting with language models. Techniques discussed include Zero-Shot prompting with clear instructions, Few-Shot prompting learning from examples, Chain-of-Thought for step-by-step reasoning, Self-Consistency through majority voting, Tree of Thoughts to explore multiple reasoning paths, and ReAct which combines reasoning with actions. The author emphasizes how mastering these methods can transform model outputs from vague responses to highly accurate, expert-level analyses. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI

The 4 AI Safety Alignment Approaches: How to Build AI That Won’t Lie, Harm, or Manipulate

Last Updated on February 21, 2026 by Editorial Team 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 elaborate prompts. It still won’t comply. This isn’t accidental — it’s alignment. Image generated by Author using AIThis article discusses the importance of AI safety alignment, detailing four key approaches: Reinforcement Learning from Human Feedback (RLHF), Constitutional AI, Red Teaming, and Value Learning. Each method contributes to ensuring AI systems remain helpful, harmless, and honest while minimizing risks associated with misalignment. The author emphasizes that as AI capabilities grow, effective alignment becomes crucial, presenting strategies that could mitigate potential dangers of powerful AI systems. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI

Context Engineering: The 6 Techniques That Actually Matter in 2026 ( A Comprehensive Guide )

Last Updated on February 21, 2026 by Editorial Team Author(s): Divy Yadav Originally published on Towards AI. Prompt engineering is dead. Context engineering is how production systems work now. Your RAG system returns perfect chunks. Your prompt is beautifully crafted But The LLM still hallucinates. Photo by AuthorThe article discusses the transition from prompt engineering to context engineering in production systems, highlighting that effective performance in 2026 will rely on dynamic context selection, compression, and comprehensive memory management rather than just clever prompts. It outlines six specific techniques that improve the efficiency and accuracy of AI models by focusing on how context is presented and utilized, including selective retrieval of relevant information, context compression to enhance clarity, and hierarchical layouts to signal importance, with an emphasis on continuously adapting to the user’s needs. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI

General Catalyst commits $5B to India over five years

The pledge marks a sharp jump from General Catalyst's earlier $500 million–$1 billion India earmark.

Google’s new Gemini Pro model has record benchmark scores — again

Gemini 3.1 Pro promises a Google LLM capable of handling more complex forms of work.

Nvidia deepens early-stage push into India’s AI startup ecosystem

Nvidia is working with investors, nonprofits, and venture firms to build earlier ties with India's fast-growing AI founder ecosystem.

GGML and llama.cpp join HF to ensure the long-term progress of Local AI

Train AI models with Unsloth and Hugging Face Jobs for FREE

The Pitt has a sharp take on AI

Each episode of HBO's The Pitt features some degree of medical trauma that almost makes the hospital drama feel like a horror series. Some patients are dealing with gnarly lacerations while others are fighting off vicious blood infections that could rob them of their limbs, and the chaos of working in an emergency room often leaves The Pitt's central characters shaken. But as alarming as many of The Pitt's more gore-forward moments can be, what's even more unsettling is the show's slow-burning subplot about hospitals adopting generative artificial intelligence. In its second season, The Pitt once again chronicles all the events that happen … Read the full story at The Verge.

Why these startup CEOs don’t think AI will replace human roles

The CEOs of Read AI and Lucidya told TechCrunch at Web Summit Qatar that they see AI tools replacing tasks, rather than workers.

YouTube’s latest experiment brings its conversational AI tool to TVs

YouTube is testing conversational AI on smart TVs, allowing viewers to ask the assistant questions related to the video they're watching on the big screen.

Code Metal Raises $125 Million to Rewrite the Defense Industry’s Code With AI

The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can’t come at the cost of new bugs.

Perplexity’s Retreat From Ads Signals a Bigger Strategic Shift

The AI search startup once predicted advertising would be a massive business. Now it's betting on a smaller, more valuable audience.

The AI security nightmare is here and it looks suspiciously like lobster

A hacker tricked a popular AI coding tool into installing OpenClaw - the viral, open-source AI agent OpenClaw that "actually does things" - absolutely everywhere. Funny as a stunt, but a sign of what to come as more and more people let autonomous software use their computers on their behalf. The hacker took advantage of a vulnerability in Cline, an open-source AI coding agent popular among developers, that security researcher Adnan Khan had surfaced just days earlier as a proof of concept. Simply put, Cline's workflow used Anthropic's Claude, which could be fed sneaky instructions and made to do things that it shouldn't, a technique known … Read the full story at The Verge.

Reddit is testing a new AI search feature for shopping

A small group of users in the U.S. will start to see search results that include interactive product carousels with pricing, images, and direct where-to-buy links.