Browsing: Large

As AI agents move from research demos to production deployments, one question has become impossible to ignore: how do you actually know if an agent is…

If you have ever stared at thousands of lines of integration test logs wondering which of the sixteen log files actually contains your bug, you are…

A FCC filing from yesterday has revealed an unreleased Amazfit smartwatch carrying model number A2568, and the early details are already raising a few interesting questions.…

Training a modern large language model (LLM) is not a single step but a carefully orchestrated pipeline that transforms raw data into a reliable, aligned, and…

Understanding audio has always been the multimodal frontier that lags behind vision. While image-language models have rapidly scaled toward real-world deployment, building open models that robustly…

The landscape of open-source artificial intelligence has shifted from purely generative models toward systems capable of complex, multi-step reasoning. While proprietary ‘reasoning’ models have dominated the…

When running LLMs at scale, the real limitation is GPU memory rather than compute, mainly because each request requires a KV cache to store token-level data.…

In this tutorial, we demonstrate how to efficiently fine-tune a large language model using Unsloth and QLoRA. We focus on building a stable, end-to-end supervised fine-tuning…

Modern large language model (LLM) deployments face an escalating cost and performance challenge driven by token count growth. Token count, which is directly related to word…

The student protesters honoured thousands of those killed when nationwide mass protests were put down last month.