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- Customizing large language models is crucial for building differentiated applications tailored to specific use cases.
- Humanloop provides a solution to reduce the occurrence of hallucinations in pre-trained models by incorporating factual context into the model's prompts.
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Customizing Large Language Models for Specific Use Cases
Raza Habib, from Humanloop, discusses the importance of customizing large language models for specific use cases. By fine-tuning these models, developers can build differentiated applications tailored to their users. This customization allows replication of unique writing styles, customized tone, fact-checking, and training on company-specific data.
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