AI

In the advanced world of AI infrastructure, the industry has operated under one assumption: flexibility is king. We build general-purpose GPUs because AI models change every week, and we need programmable silicon that can adapt to the next research breakthrough. But That’s itthe Toronto-based startup thinks flexibility is exactly what’s holding AI back. According to … Read more

Building a Retrieval-Augmented Generation (RAG) pipeline is easy; building that doesn’t hallucinate during the 10-K test is nearly impossible. For devs in the financial sector, the ‘standard’ vector-based RAG approach—combining text and hoping for the best—often results in a ‘text soup’ that loses the important structural context of tables and balance sheets. VectifyAI tries to … Read more

Have you ever asked an LLM a question, changed the wording a few times, and realized the answer was wrong? If you’ve worked with tools like ChatGPT or Gemini, you may have rewritten information, added more context, or used phrases like “be concise” or “think step by step” to improve results. But what if improving … Read more

ByteDance Seed recently dropped research that could change the way we think about AI. For years, devs and AI researchers have struggled to ‘cold start’ Large-scale Language Models (LLMs) Long CoT models. Many models lose their way or fail to convey patterns during multistep reasoning. The ByteDance team found a problem: we’ve been looking at … Read more

A few years ago, the world of AI followed a simple rule: if you want a Large-Scale Language Model (LLM) to solve a complex problem, do Chain of Thought (CoT) long. But new research from University of Virginia again Google proves that ‘thinking long’ is not the same as ‘thinking hard’. A research team revealed … Read more

In this tutorial, we build a production-style Route Optimizer agent for a shipping center using the latest LangChain agent APIs. We design a tool-driven workflow where the agent calculates distances, ETAs, and optimal routes rather than guesswork, and enforces structured results to make the results directly usable in downstream systems. We integrate location statistics, adjustable … Read more

The balance of power in the digital age is changing. While governments and large corporations have long used data to track individuals, a new open source project called OpenPlanter he gives that power back to the community. Created by developer ‘Shin Megami Boson‘, OpenPlanter is a recursive language modeling agent. Its mission is simple: it … Read more

A junior loan officer who handles data acquisition, risk assessment, and closing decisions alone is prone to making mistakes because the role is so demanding at once. A similar weakness comes from monolithic AI agents asked to run complex, multi-stage workflows. They lose context, skip steps, and produce shaky thinking, leading to unreliable results. A … Read more

In this tutorial, we design an efficient workflow for image generation using Diffusers the library. We start by stabilizing the environment, then produce high quality images with text notification using Stable Diffusion with an advanced editor. We speed up implicit reasoning based on LoRA, index structure and ControlNet under edge conditioning, and finally perform localized … Read more

In this tutorial, we build a “Swiss Army Knife” research agent that goes far beyond simple conversational interactions and solves multi-step research problems in the end. We combine tool-based agent layout with live web search, local PDF embedding, view-based chart analysis, and automated report generation to demonstrate how modern agents can visualize, validate, and generate … Read more