Y Combinator Startup Podcast
The REAL Potential of Generative AI
Mar 6, 2023
In this conversation, Raza Habib, CEO of Humanloop and an expert in AI applications, dives into the true potential of large language models. He explains how these models work and their role in enhancing business efficiency. Raza discusses the crucial need for fine-tuning to tailor models to specific tasks, alongside the ethical implications of using AI. He also highlights how generative AI is transforming startups, simplifying complex tasks, and fostering innovation, while addressing the challenges developers face in this evolving landscape.
20:02
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Quick takeaways
- 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.
Deep dives
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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