Tag: GenAI Series
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How Neural Networks Learn, Without the Math (GenAI Series, Part 6)
Neurons, layers, and weights in plain English. How a neural network learns by guessing, measuring its error, and nudging its dials, repeated across millions of examples.
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What Generative AI Can and Cannot Do (GenAI Series, Part 5)
An honest look at generative AI: what it is genuinely good at, where it quietly fails, and why hallucination comes from the same machinery that writes its best answers.
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What a Model Really Is (GenAI Series, Part 4)
A model is not a database of answers. It is one large function that predicts the next token, built from billions of parameters. What model sizes and open vs closed weights really mean.
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How We Got from If-Statements to ChatGPT (GenAI Series, Part 3)
AI did not appear overnight. The road to ChatGPT runs through four eras, hand-written rules, machine learning, deep learning, and the 2017 transformer, explained in plain English.
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The GenAI Words Everyone Uses, and What They Actually Mean (GenAI Series, Part 2)
Model, tokens, parameters, inference, embeddings, hallucination: the words everyone uses about generative AI, sorted into build time and use time and explained in plain English.
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What Generative AI Actually Is, Explained Without the Hype (GenAI Series, Part 1)
Generative AI does not look answers up. It builds new text, images and code by predicting one piece at a time. Here is what that really means, in plain English, with GPT-4o and Llama as the examples.
Architect’s Toolkit
VMware Cloud Foundation
- VCF Documentation
- VCF 9 Planning & Preparation Workbook
- VCF Bill of Materials (BoM)
- VMware Compatibility Guide
- VMware Interoperability Matrix
- VMware Configuration Maximums
- VMware Ports & Protocols
- VMware Hands-on Labs
- RVTools Download
Nutanix
AI & Cloud-Native Platform
- AI Infra Sizing & Cost Calculator
- NVIDIA Build (Model Catalog)
- NVIDIA AI Enterprise Reference Architecture
- NVIDIA NIM Performance Benchmarking
- NVIDIA NGC Catalog
- NeMo Microservices Helm Chart
- Helm Charts Repository
- Hugging Face Models
Architecture & Design
About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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