Agentic AI Fundamentals: Part 3— How Do You Trust an AI Agent in the Real World?
Author(s): Anjanadry Rane Originally published on Towards AI. In the town of Greenfield, Max has grown from a kid with a good sense of direction into something more: a reliable guide who helps others navigate the forest. We’ve been using Max as …
AI Cost Reduction Outlook: How to Cut Operational Expenses Smartly
Author(s): Ruben Melkonian Originally published on Towards AI. How much is your organization losing every quarter by ignoring AI cost reduction potential? According to a recent McKinsey study [1], companies that have already applied gen AI across most critical operations see cost …
Turning Images into Live-Blinking Pixel Art Inside Excel (with Python)
Author(s): Sundar Balamurugan Originally published on Towards AI. Turning Images into Live-Blinking Pixel Art Inside Excel (with Python) Ever thought Excel was just a spreadsheet tool? Think again. With a bit of Python magic, Excel can become a canvas that displays images …
TAI #180: DeepMind Pulling Ahead in the AI Race with Gemini 3.0 Pro and Nano Banana Pro?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, DeepMind finally released the much-anticipated Gemini 3.0 Pro, which sailed into the lead on multiple measures. There is much discussion about whether …
Is India Just the Guinea Pig for Silicon Valley’s AI Ambitions?
Author(s): INDRANIL BANERJEE Originally published on Towards AI. We provide the data; they own the models. Decoding the massive gap between India’s “AI Superpower” dreams and the ground reality A few days back I got a notification that I can avail the …
Making Agentic Tool Usage 91% More Efficient: With JSON Response Filtering
Author(s): AI Rabbit Originally published on Towards AI. Making Agentic Tool Usage 91% More Efficient: With JSON Response Filtering Agentic systems call tools. Those tools return giant JSON blobs designed for booking engines, dashboards, or backend services — not for LLMs. The …
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 …
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 …
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? …
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 …
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 …
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