Language models predict sequences of words based on vast datasets and are increasingly expected to reason and perform complex linguistic manipulations. Yet, despite their growing sophistication, even ...

In this tutorial, we demonstrate a complete end-to-end solution to convert text into audio using an open-source text-to-speech (TTS) model available on Hugging Face. Leveraging the capabilities of the ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

In today’s deep learning landscape, optimizing models for deployment in resource-constrained environments is more important than ever. Weight quantization addresses this need by reducing the precision ...

The demand for intelligent code generation and automated programming solutions has intensified, fueled by a rapid rise in software complexity and developer productivity needs. While natural language ...

At the 2025 Google Cloud Next event, Google introduced Ironwood, its latest generation of Tensor Processing Units (TPUs), designed specifically for large-scale AI inference workloads. This release ...

In the Large Language Models (LLM) RL training, value-free methods like GRPO and DAPO have shown great effectiveness. The true potential lies in value-based methods, which allow more precise credit ...

Despite advances in large language models (LLMs), AI agents still face notable limitations when navigating the open web to retrieve complex information. While many models excel on static knowledge ...

The Model Context Protocol (MCP) is an open standard (open-sourced by Anthropic) that defines a unified way to connect AI assistants (LLMs) with external data sources and tools. Think of MCP as a ...

In this tutorial, we explore a novel deep learning approach that combines multi-head latent attention with fine-grained expert segmentation. By harnessing the power of latent attention, the model ...

In this hands-on tutorial, we’ll build an MCP (Model Context Protocol) server that allows Claude Desktop to fetch stock news sentiment and daily top gainers and movers via the AlphaVantage API. Since ...

In this tutorial, we explore a novel deep learning approach that combines multi-head latent attention with fine-grained expert segmentation. By harnessing the power of latent attention, the model ...