Why are AI Products Doomed to Fail?

Author(s): Jeremy Arancio

Originally published on Towards AI.

After one year of implementing AI features for various businesses, I share my perspective on the mistakes I see companies making with LLMs, but also which strategy to adopt.

2023 has been the year of massive achievement in artificial intelligence, especially in Natural Language Processing with Large Language Models (LLMs).

With the apparition of Generative AI and the impressive performance that came with it, most companies revised their strategy to get AI in their product.

In addition, start-ups with the term “AI” embedded in their name have been emerging in all domains with one main goal: finding a problem that GenAI could solve.

We entered an era of AI hype: which company will produce the best open-source LLM — have the best product demo video on Twitter — and replace all its… Read the full blog for free on Medium.

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Published via Towards AI