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Page Content

WEB SESSION

24/25 Oct 2024

LLM Principles and Case Studies for Insurance

Thursday, 24 October 2024

  1. 09:00 - 10:30 What is this?
  2. - Overview
  3. - List of LLMs
  4. - Specifications (parameters, licencing, context, format, dataset, etc.)
  5. - Evaluations (metrics and benchmark)
  6. - Overall descriptions
  7. 10:30 - 11:00 Break
  8. 11:00 - 12:30 What is this?
  9. - Benefits
  10. - General drawbacks and market challenges
  11. - Task examples
  12. - Use cases (generic and from insurers)
  13. 12:30 - 13:30 Break
  14. 13:30 - 14:30 Case study 1
  15. - Prompting and RAG for underwriting risk assessment

Friday, 25 October 2024

  1. 09:00 - 10:30 How to use it?
  2. - Main concept and customization principles
  3. - Data (including data type, preparation, vectorization, storage)
  4. - Prompting (prompt engineering and best practices)
  5. - RAG, chaining, and agent
  6. 10:30 - 11:00 Break
  7. 11:00 - 12:30 How to use it?
  8. - PEFT (low rank adaptation and quantization discussion)
  9. - Full Fine-tuning (supervised fine tuning and reinforcement learning)
  10. - Ecosystem (annotation, vector store, orchestration, fine tuning, cloud, governance)
  11. - Implementation process
  12. 12:30 - 13:30 Break
  13. 13:30 - 14:30 Case study 2
  14. - Causal graph with LLM for claims management
  15. ---
  16. All the above times are given in CEST (Central European Summer Time).
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