The AI hype train goes full swing. At this point, it is tough to call an industry not affected by this disruptive technology. Startups feel these hype waves like nobody else because the inventors’ demands rise and competition grows.
It’s becoming increasingly difficult for startups to lift investment without some AI element of their product. Thus far, ChatGPT integration — relatively easy, reasonably priced, and fast — has been sufficient to maintain up with the race and capture a market share. Nevertheless it looks like this can not be the case.
Soon enough, making a press release will take greater than just plugging in an open source model.
Enterprise capitalists are already stressing the importance of adding value for startups, not only using a ChatGPT API.
Okay, but how can we provide this added value?
As CEO of a product development business, I’ve been consulting clients on AI integration solutions and bringing more value to their apps. I’ll explain and share recommendations on delivering additional value to an AI-driven product by fine-tuning open foundational models.
Why simply adopting a foundational model isn’t any longer a bonus
With the dynamic rise of AI, winning an investment is difficult for startups void of AI involvement. This has led to the influx of “ChatGPT wrappers” — apps parasitizing on the inspiration model and bringing null value regarding technological novelty or user flow. VCs are already overwhelmed with the inflow of “ChatGPT for X” startups, labeling them as solutions unlikely to survive in a yr or two.
Enterprise capitalists are already stressing the importance of adding value for startups, not only using a ChatGPT API.
Yet, neglecting to benefit from the AI race could also be a strategizing mistake. To get success, you could be a step ahead of the sport, offering a value-added technology that augments foundation models and provides competitive benefits. Nice-tuning an AI model using collected or synthetic data can deliver a competitive advantage to your startup.
How one can deliver added value to your AI-based startup via fine-tuning
When searching for methods to involve AI in your product, there are a number of ways to go. Listed below are the primary ones: