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18:18 - Reinforcement Fine-Tuning and Model Selection
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Classroom Contents
Context Engineering - Lessons Learned from Scaling CoCounsel
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- 1 00:28 - Early Work with GPT-4
- 2 00:53 - Pivot to Co-Counsel
- 3 01:38 - Success with GPT-4
- 4 02:34 - Acquisition by Thomson Reuters
- 5 02:57 - Introduction to Context Engineering
- 6 03:24 - Developing Co-Counsel: Three Big Steps
- 7 03:44 - Defining the Customer Experience
- 8 04:57 - Legal Research Example
- 9 06:13 - Linear vs. Agentic Tasks
- 10 08:02 - Writing Effective Prompts
- 11 12:44 - Importance of Context
- 12 13:33 - Challenges in Prompt Engineering
- 13 15:49 - Tricks and Tips for Prompt Engineering
- 14 18:18 - Reinforcement Fine-Tuning and Model Selection
