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 …
Networking Explained: From “What’s Network?” to AI-Powered Networks
Author(s): Divy Yadav Originally published on Towards AI. You click. Pages load. Messages send. Videos stream. But HOW? Let me show you using something everyone understands: a school. By the end of this, you’ll understand IP addresses, routers, switches, firewalls — all …
ARC is a Vision Problem! (Paper Review)
Author(s): Hira Ahmad Originally published on Towards AI. ARC is a Vision Problem! (Paper Review) Non-members can read for review Source ImageThe article discusses the re-framing of the Abstraction and Reasoning Corpus (ARC) as a vision problem, advocating for the use of …
AI Can Write Poetry, But Can’t Pour Coffee: Inside the Next Great Tech Revolution
Author(s): cai zhang Originally published on Towards AI. This article summarizes the views from Fei-Fei Li, an AI expert, in her first Substack post titled “From Words to Worlds: Spatial Intelligence is AI’s Next Frontier.” Introduction: The Genius in the Room Has …
The Orthogonality Paradox: We’ve Been Wrong About Space
Author(s): DrSwarnenduAI Originally published on Towards AI. The trap we don’t know we’re in You think you understand space. The article discusses the implications of dimensionality in understanding space and mathematics, particularly how our intuitive grasp of lower dimensions doesn’t hold true …
Agents 2.0: From Shallow Loops to Deep Agents
Author(s): Kushal Banda Originally published on Towards AI. Deep Agents For the past year, building an AI agent usually meant one thing: setting up a while loop, take a user prompt, send it to an LLM, parse a tool call, execute the …
Ultimate Free Deep Learning AI App Bundle for Smarter Research & Productivity in 2026
Author(s): Ignacio Guerrero Originally published on Towards AI. Unlock the Top 5 AI Tools for Fast Deep Learning — with a Real Case Study Video Included In this article, you will learn how to deep learn easily, for free, and on a …
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