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DataFramed
#243 No-Code LLMs In Practice with Birago Jones & Karthik Dinakar, CEO & CTO at Pienso
Sep 12, 2024
54:05
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Birago Jones and Karthik Dinakar from Pienso discuss the transformative power of no-code AI platforms. They explore how these tools empower subject matter experts to build AI solutions without coding skills, fostering innovation in enterprises. The conversation delves into the benefits of tailored generative models, the challenges of deploying AI in business settings, and the importance of user feedback in refining AI outputs. They also highlight the ethical implications, including data privacy, while emphasizing the synergy between AI and human creativity.
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Quick takeaways
- No-code AI platforms like Pienso empower domain experts to train and fine-tune models without needing programming skills, fostering user-driven AI innovation.
- The podcast emphasizes the importance of customizing AI solutions to meet specific business needs, ensuring that domain knowledge is integrated into AI systems effectively.
Deep dives
Mismatch Between AI Models and Business Needs
The podcast highlights a disconnect between the development goals of large foundation AI models and the practical needs of businesses. While models like GPT and Claude are designed for versatility in generating varied types of content, enterprises specifically require models that excel in producing domain-specific text. This necessity can often be addressed through fine-tuning, yet this process introduces challenges, particularly in bridging the gap between AI engineers lacking domain knowledge and domain experts unfamiliar with technical coding. The emphasis is on tailoring AI solutions that directly respond to the specific language and requirements of distinct industries.
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