I’m a Mechanical Engineer.
📰 Medium · Data Science
Use LLMs to uncover insights from conversation data without needing ML expertise, and learn how to apply this strategy in your organization
Action Steps
- Collect and preprocess conversation data using tools like spreadsheets or data visualization software
- Apply LLMs to the data to identify patterns and trends
- Configure the LLM model to focus on specific topics or keywords
- Test and refine the model to improve accuracy and relevance
- Use the insights gained to inform business decisions or product development
Who Needs to Know This
Data analysts, product managers, and business strategists can benefit from this approach to extract valuable information from existing conversation data and make data-driven decisions
Key Insight
💡 LLMs can be used to extract valuable information from existing conversation data, enabling non-ML strategists to make data-driven decisions
Share This
🚀 Unlock insights from conversation data with LLMs, no ML expertise needed! 💡
Full Article
A non-ML strategist’s playbook for using LLMs to mine conversation data you already own Continue reading on Medium »
DeepCamp AI