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3D printing has come a long way since its invention in 1983 by Chuck Hull, who pioneered stereolithography, a technique that solidifies liquid resin into solid objects using ultraviolet lasers. Over the decades, 3D printers have evolved from experimental curiosities into tools capable of producing everything from custom prosthetics to complex food designs, architectural models, […]
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
AI and machine learning have pushed the demand for high-performance hardware, making the GPU-versus-TPU discussion more relevant than ever. GPUs, originally built for graphics, have grown into flexible processors for data analysis, scientific computing, and modern AI workloads. TPUs, built by Google as specialized ASICs for deep learning, focus on high-throughput tensor operations and have
Google has just dropped its biggest wave of AI updates in months. The best part – each one rewires how we get things done. And to add to that, this range of AI tools and features span across generating content, solving problems, and even getting multi-step, complicated tasks done by the power of AI. From
7 Latest AI Drops by Google Will Make You a Powerhouse at Work 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.
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 »
Image processing has had a resurgence with releases like Nano Banana and Qwen Image, stretching the boundary of what was previously possible. We’re no longer stuck with extra fingers or broken text. These models can produce life-like images and illustrations that mimic the work of a designer. Meta’s latest release, SAM3D, is here to make
If you’ve been following the AI space lately, you’ve probably noticed something big: people don’t just care what an AI answers anymore, they care how it reaches that answer. And that’s exactly where DeepSeek Math V2 steps in. It’s an open-source model built specifically for real mathematical reasoning. In this guide, I’ll walk you through what DeepSeek Math V2
DeepSeek Math V2 Guide: Smarter AI for Real Math Read More »
Some people want to “learn AI.” Others want to build the future. If you’re in the second category, bookmark this right now – because the Generative AI Scientist Roadmap 2026 isn’t another cute syllabus. It’s the no-nonsense, industry-level blueprint for turning you from “I know Python loops” into “I can architect agents that run companies.”
If you’ve been watching the open-source LLM space, you already know it has turned into a full-blown race. Every few months, a new model comes out claiming to push the boundary and some genuinely do. Chinese labs especially have been moving fast, with models like GLM 4.6, Kimi K2 Thinking, Qwen 3 Next, ERNIE-4.5-VL and
Is DeepSeek’s V3.2 the Most Powerful Open-source LLM? Read More »
