Some people can see things that nobody else can. They seem to be able to peer around corners and into the future. These seemingly super powers come from being able to synthesize the data all around us. They approach problems with a curious and rational mind. They think differently and encourage others to embrace data culture.
We call them “data radicals” because they transform themselves and the world around them
In this podcast, we talk to these Data Radicals to understand what makes their approach so unique and how it can be replicated.
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Some people can see things that nobody else can. They seem to be able to peer around corners and into the future. These seemingly super powers come from being able to synthesize the data all around us. They approach problems with a curious and rational mind. They think differently and encourage others to embrace data culture.
We call them “data radicals” because they transform themselves and the world around them
In this podcast, we talk to these Data Radicals to understand what makes their approach so unique and how it can be replicated.
LLMs Decoded: A Starter's Guide to AI with Raza Habib, co-founder & CEO of Humanloop
Data Radicals
48 minutes 14 seconds
9 months ago
LLMs Decoded: A Starter's Guide to AI with Raza Habib, co-founder & CEO of Humanloop
As AI becomes integral to every aspect of business, ensuring its accessibility for everyone—not just specialists—is essential. Companies like Humanloop are leading the charge with innovative platforms that empower non-technical users to harness the power of advanced language models through intuitive tools and frameworks.
Democratizing AI access paves the way for transformative business outcomes and a future of collaborative AI systems. However, building a strong AI strategy starts with leveraging powerful models and mastering prompt engineering before considering fine-tuning. Engaging subject matter experts and using robust evaluation and collaboration tools are equally critical to the success of modern AI projects. In this episode, Satyen and Raza examine the evolution of AI models, the practical challenges of model evaluation and prompt engineering, and the role of multidisciplinary teams in AI development.
*Satyen’s narration was created using AI
Data Radicals
Some people can see things that nobody else can. They seem to be able to peer around corners and into the future. These seemingly super powers come from being able to synthesize the data all around us. They approach problems with a curious and rational mind. They think differently and encourage others to embrace data culture.
We call them “data radicals” because they transform themselves and the world around them
In this podcast, we talk to these Data Radicals to understand what makes their approach so unique and how it can be replicated.
