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Content provided by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
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The Most Important Things You Need to Know About AI And ML

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Manage episode 446212915 series 2400265
Content provided by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Interview with Pietro Mascheroni
Key points:
  • Large Language Models (LLMs): Role in transforming work processes, especially in AI and machine learning.
  • Practical Applications: Document retrieval, data exploration, code refinement.
  • Human Oversight: Importance of keeping human input in AI-assisted processes.
  • Communication: AI's potential to improve team communication and collaboration.
  • Validation Challenges: Ensuring accuracy and reliability of AI models.
  • Pharmaceutical Research: Use of LLMs in clinical trials, eligibility criteria, and patient data analysis.
  • AI Efficiency: How LLMs streamline workflows and reduce repetitive tasks.
  • Future of AI: Evolving capabilities of LLMs and the need to stay ahead in the field.

This episode reveals how large language models (LLMs) are transforming industries like pharmaceutical research and statistics. Pietro shares practical applications and emphasizes the need for human oversight, showcasing how AI is reshaping the way we work.

If you want to stay ahead in this rapidly evolving AI field, listen to this episode today! Be sure to share the episode link with colleagues and friends who can benefit from learning how AI can boost efficiency and collaboration. Tune in now!

  continue reading

406 episoade

Artwork
iconDistribuie
 
Manage episode 446212915 series 2400265
Content provided by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Interview with Pietro Mascheroni
Key points:
  • Large Language Models (LLMs): Role in transforming work processes, especially in AI and machine learning.
  • Practical Applications: Document retrieval, data exploration, code refinement.
  • Human Oversight: Importance of keeping human input in AI-assisted processes.
  • Communication: AI's potential to improve team communication and collaboration.
  • Validation Challenges: Ensuring accuracy and reliability of AI models.
  • Pharmaceutical Research: Use of LLMs in clinical trials, eligibility criteria, and patient data analysis.
  • AI Efficiency: How LLMs streamline workflows and reduce repetitive tasks.
  • Future of AI: Evolving capabilities of LLMs and the need to stay ahead in the field.

This episode reveals how large language models (LLMs) are transforming industries like pharmaceutical research and statistics. Pietro shares practical applications and emphasizes the need for human oversight, showcasing how AI is reshaping the way we work.

If you want to stay ahead in this rapidly evolving AI field, listen to this episode today! Be sure to share the episode link with colleagues and friends who can benefit from learning how AI can boost efficiency and collaboration. Tune in now!

  continue reading

406 episoade

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