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: google 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 …
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 …
What is an omni model in AI
An omni model in AI, often seen in models like GPT-4o, refers to a unified, end-to-end multimodal architecture capable of processing and generating information across text, audio, vision, and other data types simultaneously, unlike previous models that combined separate specialized components. This integrated approach allows for lower latency, naturalistic conversation, and complex tasks like understanding 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 …
Machine Learning – Journey Through the Mind of the Machine
The dream of creating artificial intelligence, of imbuing machines with the capacity to think and learn, is a long-standing one, stretching back centuries in philosophical thought and fictional tales. However, the formal history of Artificial Intelligence (AI) as a scientific discipline began in the mid-20th century, fueled by advancements in computing and a group of Read More …
Generative AI
While “Generative AI” isn’t an acronym, it’s a fundamental concept in the field. Think of it like this: traditional AI often focuses on analyzing existing data – identifying patterns, classifying information, or making predictions based on what it has already seen. Generative AI, on the other hand, goes a step further; it learns the underlying Read More …