
DataFramed
#243 No-Code LLMs In Practice with Birago Jones & Karthik Dinakar, CEO & CTO at Pienso
Sep 12, 2024
Birago Jones, CEO of Pienso, and Karthik Dinakar, CTO, discuss the rise of no-code AI tools that empower domain experts to create AI models without coding skills. They reveal how these platforms make it easier for industries like healthcare and journalism to tailor solutions to specific needs. The duo emphasizes the importance of nuance in model training, the role of effective user interfaces, and the balance needed between large models and tailored solutions. Additionally, they touch on data privacy challenges and the future of AI experimentation.
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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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