by Michael Stuart | AI
As enterprises race to leverage generative AI, the debate often centers on two paths: Cloud-based APIs (e.g., OpenAI, Anthropic) Building proprietary models from scratch Traditional cloud data centersServed as the bedrock of computing infrastructure for over a decade,...
by Michael Stuart | AI
In the rapidly evolving landscape of creative technology, AI-powered image and video generation tools have revolutionized how we create visual content. Whether you’re a marketer, educator, content creator, or just someone looking to explore the creative...
by Michael Stuart | AI
With the current scarcity and high costs of cutting-edge hardware, many developers and creators face a challenging decision: how to best utilize available GPUs for AI and creative workloads. This article explores the nuances of single versus multiple GPU setups,...
by Michael Stuart | AI
For software developers exploring local large language model (LLM) deployment, Ollama and LM Studio stand out as leading tools. Both enable offline AI interactions, but their approaches cater to distinct workflows and technical requirements. This article dives into...
by Michael Stuart | AI
Running large language models (LLMs) locally offers developers privacy, cost savings, customization, and offline access—critical for sensitive data, iterative experimentation, and specialized use cases. This guide explains how to run models like Meta’s Llama and...
by Michael Stuart | AI
DeepSeek-R1, a cutting-edge reasoning-focused large language model (LLM), is reshaping the AI landscape. As the first open-source model with reasoning capabilities rivaling those of frontier models from OpenAI, Google, Meta, and Anthropic, it represents a significant...
