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Cloud & Infrastructure
The New Stack·Aug 24·5 min read
Thomson Reuters trained its own AI model. Then it kept using Anthropic’s anyway.
TL;DR
Thomson Reuters developed its own AI model for legal and compliance tasks, investing $40 million in training. Despite this, the company continues to utilize Anthropic's model, highlighting a strategic approach to leveraging existing technologies.
✦ Why It Matters
Consider leveraging existing AI frameworks to enhance your proprietary data applications without starting from scratch.
Key Takeaways
- Invest in training AI models using proprietary data for competitive advantage.
- Utilize third-party models for general tasks while focusing on specialized in-house development.
- Ensure AI models prioritize accuracy and flag uncertainty in critical applications.
- Benchmark your AI against leading models to assess performance and capabilities.
How It Works
Thomson is trained on proprietary legal content and evaluated by subject-matter experts, allowing it to provide accurate, context-aware responses. It combines specialized training with retrieval capabilities, pulling from authoritative sources to ensure the reliability of its outputs.