AI

Using the API to Find Free Hosted Models on NVIDIA Builder

The NVIDIA Developer Program provides access to a wide catalog of AI models through NVIDIA Inference Microservices (NIM), offering an OpenAI-compatible API. You can browse and discover available models at build.nvidia.com/explore/discover .

If you want to find models with free hosted endpoints in the browser, you can enable the “Free Endpoint” filter on the model catalog page. But what if you need that information programmatically – in a script, a CI pipeline, or as part of an automated workflow? The browser filter is not accessible through the API, and the /v1/models endpoint does not distinguish between free hosted models and everything else.

How I Created a Custom ChatGPT Trained on the CXL Specification Documents

If you’re working with Compute Express Link (CXL) and wish you had an AI assistant trained on all the different versions of the specification—1.0, 1.1, 2.0, 3.0, 3.1… you’re in luck.

Whether you’re a CXL device vendor, a firmware engineer, a Linux Kernel developer, a memory subsystem architect, a hardware validation engineer, or even an application developer working on CXL tools and utilities, chances are you’ve had to reference the CXL spec at some point. And if you have, you already know: these documents are dense, extremely technical, and constantly evolving.

I Turned Myself Into an Action Figure

Part of being in tech, especially in emerging memory technology, is constantly switching between the serious and the surreal. One day you’re in kernel debug mode, the next you’re explaining complex system architectures on a whiteboard, and then suddenly you’re jumping on the latest craze such as making yourself into an action figure.

It’s fun. It’s human. And honestly? It’s a reminder not to take yourself too seriously. (Even if your job title suggests differently)

An Introduction to Generative Prompt Engineeering

Introduction

Over the past few years, there has been a significant explosion in the use and development of large language models (LLMs). An LLM is a language model consisting of a neural network with many parameters (commonly multi-billions of weights), trained on large quantities of text. Some of the most popular large language models are: GPT-3 (Generative Pretrained Transformer 3) – developed by OpenAI ; BERT (Bidirectional Encoder Representations from Transformers) – developed by Google; RoBERTa (Robustly Optimized BERT Approach) – developed by Facebook AI; T5 (Text-to-Text Transfer Transformer) – developed by Google. Many others exist and continue to emerge. These language models are designed to understand and generate natural language text, allowing for a wide range of applications such as chatbots, content creation, language translation, and more.