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The average human IQ is 100. Statistical fact – not an insult. For decades, that number has quietly defined what we meant by “normal intelligence.” But in 2025, something strange is happening. Machines with no consciousness, no emotions, and no lived experience are now scoring higher than humans on the very tests designed to measure […]
IQ of AI: 15+ AI Models That are Smarter Than You Read More »
Every few months, the AI world reshuffles its deck, and as we stand at the end of 2025, we already have a brand-new leaderboard. Models are getting sharper, faster, and strangely more “human,” making it harder for developers to ignore how much these systems now shape modern web experiences. So instead of guessing which models
Top 10 AI Models For Web Development in 2025 Read More »
The race for the “best AI model” goes on, as Z.ai is the latest one to mark its entry with a new and evolved model. Calling it the GLM-4.6V, Z.ai has focused on visual cues and representation with this one. And hence the “V” at the end of its name that resembles the existing flagship
Z.ai Reveals New GLM-4.6V: Should You Use it? Read More »
Large Language Models (LLMs) are the heart of Agentic systems and RAG systems. And building with LLMs is exciting until the scale makes them expensive. There is always a tradeoff for cost vs quality, but in this article we will explore the 10 best ways according to me that can slash costs for the LLM
10 Ways to Slash Inference Costs with OpenAI LLMs Read More »
While scrolling through your YouTube feed, you might have come to a realization. It’s almost impossible to figure out AI-generated content from humane content. And this problem isn’t limited to YouTube, but has plagued content throughout the internet. With releases like Nano banana, ChatGPT and Qwen pushing the boundaries for what was possible before, it
How to Detect AI-Generated Content? Read More »
Imagine a chatbot makes a joke, and the user gives it a negative feedback. The same agent is far funnier on the said topic a week later. This is what we mean by agent’s live adaptation. Most chat agents as of now are static programs in nature. They don’t really learn from user feedback during
Create an Agent that can Learn from Interactions using AutoGen Read More »
Relying on a single source for critical information poses risks. This truth applies to large language models as well. You might receive a biased answer or a hallucination. The LLM Council solves this by gathering diverse opinions. It uses a multi-model AI approach to improve accuracy. This tool mimics a human board meeting. It forces
LLM Council: Andrej Karpathy’s AI for Reliable Answers Read More »
The creation and deployment of applications that utilize Large Language Models (LLMs) comes with their own set of problems. LLMs have non-deterministic nature, can generate plausible but false information and tracing their actions in convoluted sequences can be very troublesome. In this guide, we’ll see how Langfuse comes up as an essential instrument for solving these problems, by offering a strong foundation for
Getting Started with Langfuse [2026 Guide] Read More »
NeurIPS dropped its list of the best research papers for the year 2025, and the list does more than name-drop impressive work. It provides a map for navigating the problems the field now cares about. This article would shed some light to what those papers are, and how they were able to contribute to AI.
Top 4 Papers of NeurIPS 2025 That You Must Read Read More »
Imagine an AI that doesn’t just answer your questions, but thinks ahead, breaks tasks down, creates its own TODOs, and even spawns sub-agents to get the work done. That’s the promise of Deep Agents. AI Agents already take the capabilities of LLMs a notch higher, and today we’ll look at Deep Agents to see how
Deep Agents Tutorial: Create Advanced AI Agents with LangGraph and Web Search Tools Read More »
