The MAD Podcast with Matt Turck
Building the Easy Button for Generative AI | May Habib, CEO, Writer
Nov 21, 2024
May Habib, co-founder and CEO of Writer, shares her insights on generative AI's transformative role in enterprise settings. She discusses the platform's innovative graph-based RAG approach and its AI Studio for custom applications. May highlights the significance of establishing guardrails for data privacy and the cost-effective development of the Palmyra X004 language model. The conversation also reveals how autonomous actions in AI can boost workflows and accelerate product development, signifying a new era for businesses.
35:52
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Quick takeaways
- Writer utilizes synthetic data and a graph-based approach to enhance AI response accuracy and reduce training costs for enterprises.
- The introduction of autonomous actions heralds a significant shift in generative AI, improving workflow efficiency and enabling independent task orchestration.
Deep dives
Rider's Innovative Approach to Generative AI
Rider is a full-stack generative AI platform designed to assist enterprises in harnessing the power of AI effectively. The company focuses on providing solutions that merge large language models (LLMs) with synthetic data, enabling customers to achieve quality and efficiency in their applications. One key aspect is the implementation of AI guardrails and an AI studio, which allow businesses to customize their use of Rider's technology without extensive engineering resources. This comprehensive approach addresses the various challenges faced in enterprise AI adoption, moving beyond traditional AI writing assistance to more sophisticated applications.
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