This hierarchical view can be a great way to understand how the different components work together to deliver AI solutions within Google’s stack. 1. Infrastructure Layer The foundational infrastructure layer is the bedrock of the entire AI stack, serving as the essential engine that provides the physical and virtual resources necessary to power sophisticated AI Read More …
Tag: gemini
Grounding in AI
If you’ve ever used an AI, you might have noticed it can be a bit of a “know-it-all.” It speaks with total confidence, even when it’s completely wrong. This is where grounding comes in. It’s the difference between a person guessing at an answer and a person looking it up in a specific group of Read More …
Your Submit Hub Masterclass AI Guide
Unlock Spotify Success Tired of your music getting lost in the Spotify shuffle? The key to breaking through isn’t just great music – it’s smart strategy. A recent masterclass with SubmitHub CEO Jason Grishkov laid bare the secrets to leveraging their platform for algorithmic success. The core takeaway? Teach Spotify where your music belongs, and Read More …
Notes :: System Equilibrium
Many different fields have studied the need for systems to find equilibrium, from thermodynamics to social sciences. The core concept is that systems tend toward a stable state, but the nature of that stability and the mechanisms for achieving it vary greatly. Equilibrium in Different Systems Thermodynamics and Physics: In this context, equilibrium is a Read More …
Notes :: Maximum Entropy
Maximum entropy is a principle stating that, given prior constraints or data, the most objective probability distribution is the one with the highest possible entropy, representing the greatest uncertainty and least assumption beyond what is known. This method selects a probability distribution that maximizes uncertainty while still satisfying the constraints of the data, such as Read More …
Demystifying VDI with AppStream
I’ve seen technology trends come and go, but one area that continues to evolve is the virtual desktop. The age of complex, on-premise Virtual Desktop Infrastructure is fading in my opinion and it will slowly be replaced by the agility of cloud-native solutions. A recent dive into Amazon AppStream and its potential as a “Citrix Read More …
Notes :: Entropy
Entropy measures the average uncertainty or randomness of a system’s possible outcomes, with higher entropy meaning more uncertainty and unpredictability. For instance, the outcome of a fair coin flip is highly uncertain, reflecting high entropy. Conversely, if a system’s outcomes are highly predictable or one outcome is far more likely than others, its entropy is Read More …
Notes :: Parallel Processing & Parallel Databases
At its core, parallel processing is about breaking down a large, complex task into smaller, manageable sub-tasks that can be executed simultaneously across multiple processing units or nodes. Think of it like a team project where different members tackle different parts of the assignment at the same time, leading to much quicker completion than if Read More …
Notes :: Kubernetes
Key topics include: Traditional vs. Kubernetes Challenges: Comparing the challenges of managing applications in traditional virtual machine environments versus containerized Kubernetes environments. Kubernetes Fundamentals: Defining Kubernetes, its origins, why it’s used, and key concepts like cluster architecture, API server, nodes, pods, and network policies. Kubernetes Security Fundamentals: Discussing control plane and data plane protection, including API protection, encryption, Read More …
AGI – Artificial General Intelligence
Imagine the smartest person you know – someone who can learn anything, understand complex ideas across different subjects, solve novel problems they’ve never encountered before, and even exhibit creativity and common sense. Now, picture that level of intelligence not in a human, but in a machine. That, in essence, is the concept of Artificial General Read More …