11+ mon, 4+ week ago   (192+ words) Sim AI is an open-source platform for visually building and deploying AI agent workflows—no coding required. Using its drag-and-drop canvas, you can connect AI models, APIs, databases, and business tools to create: Transformer Lab is a free, open-source workspace…...

11+ mon, 3+ week ago   (940+ words) In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between NumPy and Octave, write and call.m files, visualize…...

10+ mon, 2+ week ago   (745+ words) extracts keyboard shortcuts and commands from software documentation. The system integrates open source...

1+ mon, 3+ week ago   (1157+ words) Building an LLM application no longer requires wiring orchestration code by hand. A class of open-source platforms now exposes retrieval, agents, and workflows through visual canvases, web UIs, and plain-English prompts. These tools let developers prototype in minutes and self-host…...

11+ mon, 3+ week ago   (419+ words) In this tutorial, we take a hands-on approach to building an advanced convolutional neural network for DNA sequence classification. We focus on simulating real biological tasks, such as promoter prediction, splice site detection, and regulatory element identification. By combining one-hot…...

2+ day, 4+ hour ago   (279+ words) Is it deployable? Yes. The code is Apache-2.0, the ToolGrad-500 dataset and the 1B, 4B, and 12B models are on Hugging Face, and there is a PyPI package. ToolGrad reverses the order. It first constructs a ground-truth tool-use chain by actually executing APIs,…...

10+ mon, 1+ week ago   (464+ words) Optical character recognition has moved from plain text extraction to document intelligence. Modern systems must read scanned and digital PDFs in one pass, preserve layout, detect tables, extract key value pairs, and work with more than one language. Many teams…...

6+ mon, 1+ week ago   (279+ words) Document digitization has long been a multi-stage problem: first detect the layout, then extract the text, and finally try to reconstruct the structure. For Large Vision-Language Models (LVLMs), this often leads to ‘structural hallucinations’—disordered rows, invented formulas, or unclosed…...

10+ mon, 2+ week ago   (954+ words) A team of Salesforce AI researchers introduced WALT (Web Agents that Learn Tools), a framework that reverse-engineers latent website functionality into reusable invocable tools. It reframes browser automation around callable tools rather than long chains of clicks. Agents then call…...

11+ mon, 5+ day ago   (551+ words) In this tutorial, we combine the analytical power of XGBoost with the conversational intelligence of LangChain. We build an end-to-end pipeline that can generate synthetic datasets, train an XGBoost model, evaluate its performance, and visualize key insights, all orchestrated through…...