For a while now, I’ve been grinding through reinforcement learning theory, value functions, policy gradients, Bellman equations, exploration strategies, the whole stack. And like a lot of people, I hit that wall where the math made sense on paper, but the intuition wasn’t sticking. So I decided to flip the script. Instead of forcing myself... Continue Reading →
Why Reinforcement Learning Feels Different (And Why That’s Good) If you’ve worked with supervised learning, you’re used to a straightforward paradigm: show the model labeled examples, and it learns to predict labels for new data. Unsupervised learning asks the model to find patterns in unlabeled data. Reinforcement Learning (RL) flips the script entirely. In RL,... Continue Reading →
When Microsoft took the stage at Ignite 2025 conference, it wasn’t just unveiling another enterprise tech upgrade, it was heralding a seismic shift in the landscape of business AI. With the provocative declaration of 2026 as the “Year of the Agent,” Microsoft placed its newly rebranded Microsoft Foundry platform at the heart of this transformative... Continue Reading →
Recent advancements in Large Language Models (LLMs) emphasize the importance of memory for maintaining context in extended dialogues. Two notable architectures, HEMA and Mnemosyne, have emerged: HEMA enhances dialogue memory through dual systems inspired by human cognition, significantly improving recall and coherence without retraining; Mnemosyne is designed for low-resource environments, enabling sustained interactions. Key challenges include managing context window limits, ensuring security, and developing scalable solutions. As research progresses, effective memory systems could transform LLM capabilities.
In the fast-evolving world of AI-driven applications, creating, orchestrating, and managing intelligent agents is becoming more powerful yet complex. Recognizing this shift, Microsoft has unveiled the Microsoft Agent Framework, positioning it as the next-generation platform for building production-grade AI agents and workflows. Released in public preview in October 2025, this open-source framework streamlines the development... Continue Reading →
Dave's Two Cents 