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Forget the AI Arms Race: Tune Up, Don’t Start From Scratch Your GenAI Efforts
The current frenzy surrounding artificial intelligence, propelled by breakthroughs like ChatGPT, has organizations scrambling to join the AI revolution. Companies like OpenAI are pushing the boundaries of what’s possible, and as engineering leaders, it’s tempting to believe that building our own cutting-edge models is necessary to stay competitive. However, for most of us, chasing the bleeding edge is neither practical nor the most effective strategy.
Instead of fixating on creating the next GPT-like model, we should focus on leveraging existing generative AI (GenAI) models and tailoring them to meet our specific business needs. This approach is not only more efficient but also more cost-effective. With readily available toolchains, such as those offered by Amazon Web Services (AWS), building impactful GenAI solutions has become more accessible than ever before.
Tuning, Not Training, Is Your Secret Weapon
While the prospect of building a proprietary AI model is alluring, the reality is far more complex and expensive. OpenAI reportedly spent upwards of $100 million training GPT-3! Replicating that level of investment for most companies simply isn’t feasible.
