15 Best Vibe Coding Tools in 2026 Compared: Pricing, Features, and Best Fit
AI-first development is changing how software gets built. A new approach called “vibe coding” sits at the center of that shift. Developers describe what they want in plain language. An AI agent turns that description into working software. The term was coined by Andrej Karpathy. It captures a move away from line-by-line coding toward natural-language […]
Building a Semantic Search Engine and Open-Status Classifier over the ResearchMath-14k Dataset
from sentence_transformers import util def search(query, k=5): q = model.encode([query], normalize_embeddings=True) sims = util.cos_sim(q, emb)[0].cpu().numpy() idx = sims.argsort()[::-1][:k] print(f’\n=== Query: “{query}” ===’) for rank, i in enumerate(idx, 1): row = work.iloc[i] print(f”\n[{rank}] sim={sims[i]:.3f} | {row[‘taxonomy_level_1’]} ” f”| status={row[‘open_status’]}”) print(” “, row[TEXT_COL][:260].replace(“\n”, ” “), “…”) search(“rational points on hyperelliptic curves”) search(“multiplicativity of maximal output p-norm of […]
NVIDIA AI Releases Nemotron 3 Ultra: An Open 550B Mixture-of-Experts Hybrid Mamba-Transformer for Long-Running Agents
NVIDIA has released Nemotron 3 Ultra, the largest model in its Nemotron 3 family. It targets a specific problem: long-running agents that plan, call tools, and reason across many turns. As agents run longer, token counts grow and inference cost climbs. Nemotron 3 Ultra is designed to keep accuracy high while making that inference faster […]
Meta Business Agent drives AI-powered conversational commerce
Meta has launched Business Agent to automate conversational commerce workflows directly inside its messaging applications. The software allows global retail brands to execute transactions and field support tickets without human intervention. Deploying this architecture places agentic AI directly at the core of social commerce. Meta integrated these workflows natively into Instagram, Messenger, and soon WhatsApp. […]
How to Navigate the Shift from Prompt-Based Tools to Workflow-Driven AI
The rapid adoption of AI in writing, design, and analysis, to name just a few areas, came with mixed results: it made workflows faster and easier in some ways, and more complicated in others. The constant need to switch between tools and contexts comes at a cost, and is a frequent source of frustration for […]
Five Ways to Fine-Tune Chronos-2, the Time Series Foundation Model
In Part 1 of this series, -2, a time-series foundation model. We got our hands dirty by walking through a real case study and saw what Chronos-2 can do straight out of the box, with no training. But as we noted at the end of Part 1, zero-shot isn’t always enough. In cases when: Your […]
Small Data, Big Maps: Training Geospatial ML Models When Samples Are Scarce
learning, the biggest bottleneck is almost never GPU memory or model size. It’s the handful of field samples you have access to across a vast, expensive, and logistically complicated landscape. This article grew out of recurring discussions and hands-on experience with data from the Amazon Rainforest, where this problem appears in its rawest form: dense […]
FPN Paper Walkthrough: Leveraging the Internal Pyramid
I was talking about YOLOv3 [1]. One of the factors that makes this YOLO version better than its predecessors is its ability in detecting small objects thanks to its FPN-like neck adopted by the model. Unfortunately, my explanation about FPN in that article was not quite thorough since I was focusing more on YOLOv3 itself. […]
Using Scikit-LLM with Open-Source LLMs
In this article, you will learn how to use locally hosted language models through Ollama to perform text classification tasks, all without spending a cent on API calls. Topics we will cover include: How to install Ollama and pull open-source models like Llama 3, Mistral, and Gemma to run locally on your machine. How to […]
Is an Online Master’s Degree in AI a Good Idea?
machine learning engineer with experience working at big tech companies like Meta, Google and LinkedIn. Even with a job at a top tech company and the chance to work on genuinely interesting machine learning problems, I decided to pursue a part-time online master’s degree at the University of Texas at Austin, and I recently completed […]