by CPI Staff | Oct 12, 2026 | AI, Blog, LLM
In this blog post The Autonomy of Tensors for Smarter we will explore what gives tensors their “autonomy,” why it matters for both engineers and leaders, and how to put it to work in production. Tensors are often described as multi‑dimensional arrays. That’s true, but...
by CPI Staff | Oct 12, 2026 | AI, Blog, PyTorch
In this blog post Get Started With Tensors with PyTorch we will walk through how to work with tensors with simple, copy‑paste examples you can use today. Tensors are the workhorse behind modern AI and numerical computing. Think of them as powerful, N‑dimensional...
by CPI Staff | Oct 12, 2026 | Azure, Blog, Phi-3
In this blog post Understanding Azure Phi-3 and how to use it across cloud and edge we will unpack what Azure Phi-3 is, why it matters, and how you can put it to work quickly and safely. Think of Azure Phi-3 as a family of small, efficient language models designed to...
by CPI Staff | Oct 12, 2026 | AI, Blog, LLM
In this blog post Practical ways to fine-tune LLMs and choosing the right method we will walk through what fine-tuning is, when you should do it, the most useful types of fine-tuning, and a practical path to ship results. Large language models are astonishingly...
by CPI Staff | Oct 12, 2026 | AI, Blog, LLM
In this blog post Preparing Input Text for Training LLMs that Perform in Production we will walk through the decisions and steps that make training data truly useful. Whether you’re pretraining from scratch or fine-tuning an existing model, disciplined data prep is...
by CPI Staff | Oct 12, 2026 | AI, Blog, LLM, PyTorch
In this blog post Best Practices for Loading and Saving PyTorch Weights in Production we will map out the practical ways to persist and restore your models without surprises. Whether you build models or manage teams shipping them, understanding how PyTorch saves...
