Protains CTO Yash Sharma Announces Breakthrough in AI Research

Protains is excited to share a groundbreaking advancement in our AI capabilities. Yash Sharma, our Chief Technology Officer, has announced a major breakthrough in his research on prompt engineering, bringing its results closer to those achieved through fine-tuning. This development could have a profound impact on how AI models are used in drug discovery and beyond.

Yash Sharma's Statement on the Breakthrough

We are thrilled to share that after extensive research, we’ve made significant progress in narrowing the gap between prompt engineering and fine-tuning in large language models. This breakthrough allows us to achieve highly accurate and contextually relevant outputs from models without the need for time-consuming and resource-intensive fine-tuning. For the AI drug discovery space, this means faster iterations, lower costs, and improved flexibility in model application.

What This Breakthrough Means for AI and Drug Discovery

Traditionally, fine-tuning has been required to adapt AI models for specific tasks, requiring significant amounts of data and time. Sharma’s new approach to prompt engineering enables models to deliver highly refined and task-specific outputs by optimizing input prompts, without the need for fine-tuning. This reduces the complexity and cost of adapting AI models for new challenges, making it easier to deploy them in real-world applications, such as drug discovery.

At Protains, this breakthrough enhances our ability to rapidly explore potential drug candidates and tailor AI tools to different stages of pharmaceutical research, helping accelerate the discovery of new treatments.