Modern Tech Stacks
Deep dives into modern frameworks, libraries, and best practices.
Learn what GRPO (Group Relative Policy Optimization) is, how it differs from PPO, and why it powers efficient reasoning models like DeepSeek-R1, with code examples using Hugging Face TRL.

Liquid Neural Networks (LNNs) are continuous-time AI models that keep learning after deployment. Learn how they work, how they differ from regular neural networks, and where they are used.

Learn how LLM gateways protect AI applications from provider outages using automatic failover, retries, and load balancing, with config examples using LiteLLM.

Learn what test-time compute means, how it differs from traditional AI training, and why this shift from memorizing to reasoning is changing the way large language models solve hard problems.

Learn how AWS WAF AI Traffic Monetization lets you charge AI bots and agents for accessing your content and APIs using simple per-request payments on Base and Solana. Includes setup steps, pricing, and practical examples.

Machine unlearning is the process of removing specific data from a trained AI model without retraining it from scratch. This guide explains how it works, why it matters for privacy and compliance, and how developers can implement it today.
