This article breaks down the exact process I’ve used to select, modify, and apply small language models to dozens of use cases in my work.
Large language models (LLMs) are the unsung heroes of recent Generative AI advancements, quietly working behind the scenes to understand and generate language as we
As businesses add more artificial intelligence (AI) tools to their tech stack, the more disjointed and siloed their work with AI becomes, creating an operational
Major tech companies like Microsoft, Google, Coca-Cola, and Spotify are championing AI, integrating it into various aspects of their businesses, from content generation to product
You don’t get into business to lose to your competitors. But every day your team doesn’t embrace GenAI into their work is a day you
![Illustration comparing open-source and closed LLMs with server diagrams, cloud icons, and text: "Unbiased Guide for Innovative Companies [2025]."](https://i0.wp.com/hatchworks.com/wp-content/uploads/2024/05/OpenSource-LLMs-vs-Closed-Unbiased-Guide-for-Innovative-Companies-Thumbnail.png?fit=768%2C656&ssl=1)
When it comes to deciding between using open-source LLMs vs closed source LLMs, it’s not a matter of which is better but which is better
With 2023 dubbed the year of Generative AI, 2024 dubbed the year of the Generative AI POC (Proof of Concept), what advancements, trends, and use
How is the growing world of AI agents reshaping enterprise systems? In this episode of Talking AI, host Matt Paige is joined by Praveen Gunasekaran,
Tech teams are constantly under pressure to move fast—launch new features, troubleshoot issues, optimize systems—but speed often comes with the risk of costly mistakes and
Every day, your communication-based teams manage endless customer inquiries, trying to keep your messaging consistent across platforms, and racing to create responses that feel personal
