The Effective Statistician - in association with PSI
The Most Important Things You Need to Know About AI And ML
Oct 21, 2024
Pietro Mascheroni, a physicist at Beringer Ingelheim specializing in machine learning and AI, dives into the transformative power of large language models (LLMs) in pharmaceutical research. He discusses their practical applications like document retrieval and data exploration. Pietro emphasizes the necessity of human oversight to ensure accuracy, while explaining how LLMs enhance team communication and collaboration. He highlights the challenges of validating AI models and the evolving capabilities of these technologies, reinforcing their potential to streamline workflows.
45:04
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Quick takeaways
- Large language models (LLMs) are revolutionizing fields like pharmaceutical research by streamlining data navigation and enhancing decision-making processes.
- The inclusion of human oversight in AI applications is crucial to ensure the accuracy and reliability of outputs generated by LLMs.
Deep dives
Introduction to Large Language Models
Large language models (LLMs) have gained significant attention since the rise of tools like ChatGPT, which democratized access to powerful AI technology. These models can be utilized in various ways, primarily for predictions and efficiency improvements in processes. Organizations are increasingly exploring specific applications within their fields, particularly in navigating complex knowledge databases. By embedding LLMs into tailored applications, users can streamline their workflows and gain insights from extensive and challenging datasets.
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