Model selection, architectures, and performance tuning for production.
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3 of 4 parts
Fine-tuning is powerful but often misused. Learn when to fine-tune, how to do it right (cloud and local), and why prompt engineering or RAG might be better choices.
The future isn't bigger models—it's smarter small ones. Learn how to distill large models into efficient, task-specific versions for production deployment.
RLHF made ChatGPT useful. Understanding how reinforcement learning shapes AI behavior helps you understand what AI can—and can't—become in your organization.
After paying for every major AI subscription and testing them in production, here's the honest breakdown: what Claude, ChatGPT, Gemini, and Grok actually excel at—and where each one falls short.
Google's Gemini 3 isn't just an upgrade—it's a paradigm shift. Generative interfaces, Deep Think reasoning, the $2.4B Antigravity IDE, and the 'Code Red' that shook OpenAI. Here's everything that matters.
Before ChatGPT, there was the Transformer. A technical deep dive into the Google architecture that killed RNNs, enabled parallel training, and kickstarted the Generative AI revolution.
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