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 ...

Recent advancements in LLMs have significantly enhanced their reasoning capabilities, particularly through RL-based fine-tuning. Initially trained with supervised learning for token prediction, these ...

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 ...

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 ...

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 ...

Bio: Hamza Tahir is a software developer turned ML engineer. An indie hacker by heart, he loves ideating, implementing, and launching data-driven products. His previous projects include PicHance, ...

Understanding long-form videos—ranging from minutes to hours—presents a major challenge in computer vision, especially as video understanding tasks expand beyond short clips. One of the key ...

Large Language Models (LLMs) have demonstrated significant advancements in reasoning capabilities across diverse domains, including mathematics and science. However, improving these reasoning ...

Google has released the Agent Development Kit (ADK), an open-source framework aimed at making it easier for developers to build, manage, and deploy multi-agent systems. ADK is written in Python and ...

Radical AI has released TorchSim, a next-generation PyTorch-native atomistic simulation engine for the MLIP era. It accelerates materials simulation by orders of magnitude, transforming traditional ...

LLMs often show a peculiar behavior where the first token in a sequence draws unusually high attention—known as an “attention sink.” Despite seemingly unimportant, this token frequently dominates ...