Join us for an insightful session where will fine-tune an open-source LLM on healthcare-specific feedback data. This will enable the model to accurately extract key insights, categorize sentiments, and provide concise summaries of patient feedback.
Agenda for the session
- Fine-tune an open-source LLM with healthcare feedback data
- Learn to enhance the model’s ability to extract key insights
- Enable accurate sentiment categorization from patient feedback
- Develop concise summary generation skills for healthcare data
About Speakers
Anjana Agrawal
Entrepreneur | IoT, Big Data, Business Analytics & IT/Operations Consultant
A seasoned professional with 30+ years of expertise in data science, strategy, and business transformation. Skilled in advanced statistical modeling, machine learning, NLP, and big data analytics. Recognised kaggle competition expert with top global rankings. Combines deep expertise as a management consultant, technical architect, and quality leader (ISO, CMMi, Six Sigma) with a strong track record in digital transformation, cloud, SOA, and social media analytics.
