Musings on Building a Generative AI Product

Challenges and Pain Points in Developing AI Applications

Summary:

One of the challenges of developing applications using generative AI is ensuring the quality and reliability of the system.

It's important to avoid situations where poorly built applications with inaccurate calculations are relied upon. Additionally, the lack of documentation and the de

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A lot of the focus on AI use, especially in the corporate world, has been stuck in what I call the “automation mindset” - viewing AI primarily as a tool for speeding up existing workflows like email management and meeting transcription. This perspective made sense for earlier AI models, but it's like evaluating a smartphone solely on its ability to... See more

A lot of the focus on AI use, especially in the corporate world, has been stuck in what I call the “automation mindset” - viewing AI primarily as a tool for speeding up existing workflows like email management and meeting transcription. This perspective made sense for earlier AI models, but it's like evaluating a smartphone solely on its ability to... See more

An LLM’s abilities are amplified when combined using emerging agent frameworks like BabyAGI, AutoGPT and ChatArena. These frameworks break down workflows into a series of discrete roles each handled by AI agents, which are given a defined objective and work together to automate a complex task.

Initially, this will take the form of human-AI collabora... See more