Reflection is critical in the continuous improvement of processes, particularly in model training, where small incremental changes are often more effective than large overhauls. The importance of customizing approaches to fit the unique nuances of individuals and departments within an organization is emphasized; different team members may have distinct interpretations and implementations that should be acknowledged and encouraged. Domain expertise, often residing tacitly within employees, presents a challenge in knowledge transfer and documentation, leading to potential losses in valuable insights and practices. Creating structured repositories of models, accompanied by detailed documentation of their development, can help capture these nuances, though the process may seem reductive. Ultimately, the emphasis should be placed on harnessing and amplifying the tacit knowledge that individuals possess, as this nuanced understanding is a significant, yet often undervalued asset in organizations amidst discussions focused on advanced technologies like AGI.
As AI becomes more accessible, a growing question is: should machine learning experts always be the ones training models, or is there a better way to leverage other subject matter experts in the business who know the use-case best? What if getting started building AI apps required no coding skills? As businesses look to implement AI at scale, what part can no-code AI apps play in getting projects off the ground, and how feasible are smaller, tailored solutions for department specific use-cases?
Birago Jones is the CEO at Pienso. Pienso is an AI platform that empowers subject matter experts in various enterprises, such as business analysts, to create and fine-tune AI models without coding skills. Prior to Pienso, Birago was a Venture Partner at Indicator Ventures and a Research Assistant at MIT Media Lab where he also founded the Media Lab Alumni Association.
Karthik Dinakar is a computer scientist specializing in machine learning, natural language processing, and human-computer interaction. He is the Chief Technology Officer and co-founder at Pienso. Prior to founding Pienso, Karthik held positions at Microsoft and Deutsche Bank. Karthik holds a doctoral degree from MIT in Machine Learning.
In the episode, Richie, Birago and Karthik explore why no-code AI apps are becoming more prominent, uses-cases of no-code AI apps, the steps involved in creating an LLM, the benefits of small tailored models, how no-code can impact workflows, cost in AI projects, AI interfaces and the rise of the chat interface, privacy and customization, excitement about the future of AI, and much more.
Links Mentioned in the Show:
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