Developers often struggle to get actionable results from AI coding assistants. This guide provides 7 detailed prompts, designed at the Principal Engineer level, that walk AI step by step through code review, debugging, testing, architecture, and productionization. Copy, paste, and adapt these prompts to ship scalable, secure, production-ready software with AI support.
In the final part of our Hugging Face LLM training series, learn how to publish your model to Hugging Face Hub and create a live demo so anyone can use it instantly.
In Part 2 of our Hugging Face series, you’ll fine-tune your own AI model step by step. Learn how to load datasets, train with the Trainer API, and save your very first custom LLM.
Kickstart your AI journey with Hugging Face. In this beginner-friendly guide, you’ll learn how to set up, run your first model, and prepare a custom dataset for fine-tuning.
Discover how the 2017 paper Attention Is All You Need introduced Transformers, sparking the AI revolution that powers ChatGPT, Claude, Gemini, and today’s LLMs.
Experiment tracking tools often slow down research with heavy configuration and infrastructure setup. RexF flips the script by offering zero-configuration reproducibility with just a single decorator. Here’s why it’s quickly becoming a favorite among researchers and data scientists.
OpenAI has made a bold move into the open-source community by releasing a new family of models: GPT-OSS. This guide will introduce you to these powerful, open-weight models, their technical specifications, and how you can start running them on your own hardware for agentic workflows and advanced reasoning tasks.
GPT-5 is here and it’s redefining AI. With a huge 400k-token context, advanced reasoning, and powerful multimodal skills, it’s built for more than chat. From coding to research, GPT-5 delivers smarter, faster, safer results—making it the most capable AI agent yet.
A detailed comparison of CPUs, GPUs, and TPUs, covering their architecture, performance, and real-world applications, with example calculations to demonstrate their capabilities.
In an era where cyber threats are increasingly sophisticated, traditional perimeter-based security models are no longer sufficient. The Zero Trust security model emerges as a robust framework, assuming no implicit trust, continually validating users and devices before granting access. This comprehensive guide explores essential strategies for implementing Zero Trust in modern IT environments, ensuring enhanced security and resilience against cyber threats.