Technical Deep Dive
LLMs are Not Stochastic Parrots: How Large Language Models Actually Work
A deep dive into the Transformer architecture, self-attention, and the generative process that powers modern Large Language Models.
Blog
Insights on AI democratization, enterprise architecture, and the future of technology.
Technical Deep Dive
The BastionRank Showdown: Crowning the Best On-Device AI Models of 2025
A deep dive into the performance and qualitative results of 10 leading on-device language models, with a tiered ranking to help you choose the best tool for your needs.
Enterprise Architecture
Building AI Landing Zones: A Blueprint for Enterprise AI Readiness
Drawing from years of implementing Azure AI Landing Zones for enterprise clients, this post reveals the architectural patterns and security considerations that make or break large-scale AI deployments.
Technical Deep Dive
Local AI on Your Phone: Challenges from the Trenches
This article explores the formidable challenges of bringing advanced AI to mobile devices and how BastionAI's innovations are overcoming them.
Technical Deep Dive
Vector Databases and RAG: The Engine Behind Intelligent Local AI
A technical exploration of how vector databases and Retrieval-Augmented Generation work together to create powerful, context-aware AI that runs entirely on your local machine—no cloud required.
AI Democratization
The Future of Local AI: Privacy and the Inverse Moore's Law
We're witnessing a remarkable phenomenon: AI models are simultaneously becoming more sophisticated and more compact. Thanks to the open source community and frameworks like BastionSDK and Llama.cpp, powerful AI is now accessible to every developer.
Technology Vision
From Tech Giants to Everyone: The Democratization Imperative
Why advanced AI shouldn't be the exclusive domain of Big Tech. A manifesto on making cutting-edge AI accessible to individuals and organizations worldwide, regardless of their technical resources or cloud budgets.
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