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Ollama on Mac Silicon: Local AI for M-Series Macs

Ollama on Mac Silicon: Local AI for M-Series Macs

Run powerful AI models directly on your Mac with zero cloud dependency. This comprehensive guide walks you through Ollama, showing how to leverage Mac Silicon—from M1 to M4—to run local language models privately, quickly, and efficiently.

Using LLMs to Unify and Enrich Data Across Multiple Sources

Using LLMs to Unify and Enrich Data Across Multiple Sources

LLMs can unify and standardize threat data across disparate sources without complex integration projects. Learn practical approaches for seamlessly combining threat feeds, logs, and incident data into enriched intelligence.

Extending Metadata with LLMs

Extending Metadata with LLMs

Practical techniques for using language models to automatically extend your metadata—identifying entities, extracting locations, and adding context that traditional methods miss. Learn how LLMs can transform basic datasets into rich, interconnected knowledge bases without complex manual tagging.

Dialogue Is the Best Teacher

Dialogue Is the Best Teacher

For those new to AI, direct dialogue provides the most intuitive way to understand these systems' capabilities. Through thoughtful conversation with varied prompts, beginners quickly develop a feel for how AI models think and respond—revealing insights impossible to gain any other way.