The AI Bubble Is in the Wrong Place: Why Vertical AI/Integrators Will Win the Next Decade
Author(s): Ina Hanninger Originally published on Towards AI. The latest AI boom has pushed valuations into territory we’ve only seen a handful of times in modern market history. At $5 trillion, Nvidia has become the most valuable company in the world, and …
Tensors in Machine Learning: The Clearest Explanation You’ll Ever Read (ML Chapter-1)
Author(s): Sayan Chowdhury Originally published on Towards AI. If you’ve ever opened a machine learning textbook or played with a deep-learning framework, you’ve seen the word tensor pop up everywhere. It sounds intimidating. It feels mathematical. And everyone seems to assume you …
Simple guide to build a Google Search AI Agent with Gemini 3.0
Author(s): Sohail Mohammed Originally published on Towards AI. Simple guide to build a Google Search AI Agent with Gemini 3.0 Well, the internet is officially broken in the best possible way. Ever since Gemini 3.0 dropped its record-smashing benchmarks, the development world …
CPU Architectures for Developers
Author(s): Ganesh Bajaj Originally published on Towards AI. CPU Architectures for Developers As a developer, you’ll sooner or later need to understand CPU architectures — whether you’re writing low-level code, optimizing performance, compiling for different targets, or choosing hardware for a product. …
The Prompting Language Every AI Engineer Should Know: A BAML Deep Dive
Author(s): Lorre Atlan, PhD Originally published on Towards AI. What is BAML? As LLM applications move to production, developers face a critical challenge: LLMs frequently generate malformed JSON and unparseable outputs, leading to application failures and degraded user experiences. BAML addresses this …
Governing with AI: From Pilot Purgatory to Public Purpose
Author(s): Cezary Gesikowski Originally published on Towards AI. What 200 Government AI Use Cases Reveal About Moving from Aspiration to Action The conference room in Brussels was packed with senior public servants, each clutching a glossy national AI strategy document. Yet as …
Stopping AI Hallucinations: A New Data Science Playbook
Author(s): The Braveheart writerd Originally published on Towards AI. Stopping AI Hallucinations: A New Data Science Playbook Ask a Vision-Language Model (VLM) how many Matryoshka dolls are in an image, and it might confidently lie to you. dataBot — “AI explores data …
The Developer Guide to Integrating LLMs via APIs and SDKs
Author(s): Hamza Boulahia Originally published on Towards AI. Chatbots are great for exploration. But if you want to build something real, you need APIs, and this is how to use them in Python. If you want to analyze a thousand customer reviews, …
5 Ways Gemini 3 Will End the Era of Simple Chatbots
Author(s): Souradip Pal Originally published on Towards AI. Why Google’s Gemini 3 marks the biggest leap in conversational intelligence since GPT-4 For years, chatbots have felt like vending machines:You press a button (your prompt), and they spit out a predictable answer.Useful, yes.Impressive? …
Deep Agents vs Agentic AI: What’s the Real Difference?
Author(s): Rashmi Originally published on Towards AI. Deep Agents vs Agentic AI: What’s the Real Difference? The AI landscape is experiencing a paradigm shift with two distinct but often conflated approaches: Deep Agents and Agentic AI. While both represent autonomous AI systems, …
Qwen3-Omni: The AI That Can Think, See, Hear, and Talk Within 234ms
Author(s): Gaurav Shrivastav Originally published on Towards AI. Why splitting AI into a “Thinker” and “Talker” could change everything we know about multimodal intelligence. So, the big dream is to get one AI that can see, listen, and talk all at once, …
Building a Semantic Model Referee With Google ADK and the OpenAI Agent SDK
Author(s): Kyle knudson Originally published on Towards AI. A practical comparison of two emerging agent frameworks for enterprise data engineering A practical comparison of two emerging agent frameworks for enterprise data engineering Building a Semantic Model Referee With Google ADK and the …
Why Your Chatbots Feel Sluggish (and How TiDAR Fixes It)
Author(s): Devashish Datt Mamgain Originally published on Towards AI. When most leaders consider AI strategy, they typically focus on data and use cases. The nitty-gritty of AI technology doesn’t really matter in your day-to-day. However, these architectural details may actually impact your …
I Re-Ran My “Real World” AI Test with Gemini 3, GPT-5.1, and Llama 4, and The Hierarchy Just Shattered
Author(s): Manash Pratim Originally published on Towards AI. Stop using the models you loved in early 2025. They are already fossils. A few days ago, I posted a comparison that went viral. I pitted GPT-5 against Claude 3.7 and Gemini 2.5. I …
5 Secrets to Mastering RL Agents and Rewards Fast
Author(s): Vikram Lingam Originally published on Towards AI. Everything you need to know about reinforcement learning and why it matters Reinforcement learning (RL) has transformed how machines tackle complex tasks, from self-driving cars navigating traffic to robots assembling parts in factories. In …
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