Fine-tuning is a powerful technique for adapting pre-trained models to specific tasks and domains, enabling better performance, cost optimization, and customization. Just as a skilled tailor adjusts a suit to perfectly fit the wearer, fine-tuning allows to adapt AI models to excel at specific tasks and domains.

Flybridge General Partner Jesse Middleton does a deep dive into our investment in Arcee.ai an SLM adaptation system that offers a comprehensive end-to-end platform for training, deploying, and monitoring SLMs.

Flybridge is in it’s third wave of AI investments. This article does a deep dive into our five-pronged AI thesis and where we see the future with this dynamic and evolving technology.

Post the runaway success of industry-specific SaaS, the transformative shift towards AI-powered output-oriented vertical SaaS is up next. This post illustrates the opportunities for companies that harness unique datasets, identifying markets where new entrants can outshine incumbents in deploying intelligent AI solutions.