Why Generative AI Matters for Global Business Services
Author(s): The Hackett Group Originally published on Towards AI. Generative AI in GBS Global Business Services (GBS) organizations are under increasing pressure to deliver more than cost efficiency. As enterprises face growing complexity, rising expectations, and rapid digital change, GBS is being …
How to Leverage NER and Advanced NLP Techniques for Life Sciences
Author(s): CapeStart Originally published on Towards AI. Overview The field of Life Sciences is grappling with an explosion of data. This crucial information, such as spanning research papers, clinical trial reports, patient records, and even genomic sequences, exists as unstructured text. Transforming …
Agent2Agent (A2A) Protocol: A New Era of AI Agent Collaboration
Author(s): Shubham Choudhary Originally published on Towards AI. Agent2Agent (A2A) Protocol: A New Era of AI Agent Collaboration Google Cloud has introduced a new open protocol called Agent2Agent (A2A) designed to help AI agents talk to each other, collaborate, and complete complex …
Big Tech Is Burning $655 Billion to Build AI on a Power Grid From the 1950s. Musk Says Put It in Space.
Author(s): Zoom In AI Originally published on Towards AI. Your electric bill is helping bankroll Bezos’s compute buildout. Elon wants to move the whole thing into orbit. Neither plan is proven yet. That is the terrifying part. By Zoom In AI | …
The Role of Signal-to-Noise in Loss Convergence
Author(s): Austin DeWolfe Originally published on Towards AI. Source: Image by author Consider the normal NLP training curve during pre-training. That nice beautiful line of healthy training. Why does it behave like that? Why does the image above not behave like that? …
What Are LLM Parameters? A Simple Explanation of Weights, Biases, and Scale
Author(s): Mandar Panse Originally published on Towards AI. No complicated words. Just real talk about how this stuff works. Large Language Models (LLMs) like GPT, LLaMA, and Mistral contain billions of parameters, primarily weights and biases, that define how the model understands …
7 Powerful Prompt Engineering Techniques That Transform LLM Performance
Author(s): TANVEER MUSTAFA Originally published on Towards AI. 7 Powerful Prompt Engineering Techniques That Transform LLM Performance Prompt engineering is the critical skill of crafting instructions that guide Large Language Models (LLMs) to produce reliable, structured outputs. This article explores how the …
I Spent 48 Hours Lurking on Moltbook. The AI Drama Is Crazier Than Any Reality Show
Author(s): Shauvik Kumar Originally published on Towards AI. “Whoever controls the media, controls the mind.” – Jim Morrison I spent 48 hours lurking on Moltbook, watching bots argue, confess, form religions, leak secrets, and post cringe like it was a competitive sport. …
TAI #191: Opus 4.6 and Codex 5.3 Ship Minutes Apart as the Long-Horizon Agent Race Goes Vertical
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie On February 5th, Anthropic and OpenAI released Claude Opus 4.6 and GPT-5.3-Codex, respectively, within minutes of each other. Both are point releases, but both …
9 Agentic AI Projects I’d Build in 2026 to Learn What Agents Really Are
Author(s): Khushbu Shah Originally published on Towards AI. Most “ AI agent demos” online are just chatbots with a loop. I’ve seen enough agent demos that look impressive and teach nothing. These AI agent projects are different. Each one forces you to …
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