Forbes October 29, 2024
Bhaskar Gangipamula is the President and Cofounder at Quadrant Technologies.
Artificial intelligence (AI) is transforming industries, and for businesses, building AI models from scratch might seem like the way to demonstrate technological leadership. However, in-house AI development comes with hidden costs and complexities that can outweigh the benefits.
As a founder in the AI field, I believe fine-tuning open-source models is often a wiser choice. Let’s delve into why.
The Financial Burden Of Building AI From Scratch
The most glaring challenge of building an AI model in-house is the substantial cost. Electricity alone can be staggering. Training advanced models requires massive computing power, often running high-performance hardware for days or weeks. A model like GPT-4 could consume decades’ worth of...
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