Controlling AI Hallucinations
November 29, 2024
In our previous blog, we took an in-depth look at AI hallucinations, including what they are, why they matter, and how they can be measured.
Our perspective on AL/ML in the life sciences industry.
In our previous blog, we took an in-depth look at AI hallucinations, including what they are, why they matter, and how they can be measured.
Generative AI (GenAI) holds enormous potential across a wide range of use cases in the clinical development space, but its tendency to hallucinate must be
At Saama, our mission is to empower life sciences companies with advanced AI-driven solutions that improve human health. We believe that by enabling faster, more
In an industry as dynamic and complex as life sciences, the need for technological innovation is constant. With the increasing demand for faster clinical trials
Taking a closer look at hallucinations, why they occur, and how to limit them, especially if you’re in the process of training an AI model.
Taking a closer look at the intricacies and considerations necessary for successful ML model selection and training.
Taking a closer look at each of the four steps within the training phase of AI Model Training.
We’ll be covering the best practices for training AI models for life sciences, from data preparation to training methods, and more.
Here at Saama, we are continuously innovating, researching, and developing AI models for healthcare. Saama’s AI Research Lab is an in-house team of dedicated AI
