Browsing: Pipelines

In this tutorial, we explore Microsoft VibeVoice in Colab and build a complete hands-on workflow for both speech recognition and real-time speech synthesis. We set up…

I recently and immediately closed it. Not because it was wrong. The code worked. The numbers checked out. But I had no idea what was going…

In this tutorial, we explore how to use Google’s LangExtract library to transform unstructured text into structured, machine-readable information. We begin by installing the required dependencies…

In this tutorial, we build a complete AgentScope workflow from the ground up and run everything in Colab. We start by wiring OpenAI through AgentScope and…

started using Pandas, I thought I was doing pretty well. I could clean datasets, run groupby, merge tables, and build quick analyses in a Jupyter notebook. Most…

, we talked in detail about what Prompt Caching is in LLMs and how it can save you a lot of money and time when running…

IBM has released Granite 4.0 1B Speech, a compact speech-language model designed for multilingual automatic speech recognition (ASR) and bidirectional automatic speech translation (AST). The release…

In this tutorial, we build a workflow using Outlines to generate structured and type-safe outputs from language models. We work with typed constraints like Literal, int,…

project involving the build of propensity models to predict customers’ prospective purchases, I encountered feature engineering issues that I had seen numerous times before. These challenges…

section(“6) pack unpack”) B, Cemb = 2, 128 class_token = torch.randn(B, 1, Cemb, device=device) image_tokens = torch.randn(B, 196, Cemb, device=device) text_tokens = torch.randn(B, 32, Cemb, device=device)…