Generative AI: Opportunities and Challenges for Startups
As we discussed in our previous post, the sudden rise of generative AI came from years of research breakthroughs in machine learning, particularly in transformer-based models and the Large Language Models (LLMs) they enable. Nowadays, it feels like there’s a new breakthrough every day. One of the most significant model advancements is the release of GPT-4,…
Why Georgian is Investing in SurrealDB
The proliferation of unstructured data has, in our view, made building modern…
Redefining Legal Impact with the Team at Darrow
When we think about legal tech software, we think about value add…
Testing LLMs for Trust and Safety
We all get a few chuckles when autocorrect gets something wrong, but…
Introducing Georgian’s “Crawl, Walk, Run” Framework for Adopting Generative AI
Since its founding in 2008, Georgian has conducted diligence on hundreds of…
The Nitty-gritty of Fine-tuning a GenAI Model
We’ve all heard about how generative AI is changing almost every aspect…