![Investing in Large Language model AI Startups [video]](https://tkcdn.tekedia.com/wp-content/uploads/2023/03/31191617/AI-startups-768x409.jpg "Investing in Large Language model AI Startups [video]")
Beyond algorithms and codes, data is very catalytic in building AI startups. If you have something and you want to discuss it with Tekedia Capital, make sure you have a clear roadmap on where that data will come from. If you remove Microsoft’s data from ChatGPT, it becomes another tech with no practical application to business problems. But with Microsoft’s data, it derives life to transform our world. I posit that someone has better models than the ChatGPT model in some universities, but what is missing is the niche data which ChatGPT engineers have access to. Without data, it is largely a lost mission.
Of course, if that is the case, the old world of data analytics and incremental machine learning remains viable to improve productivity and advance the utilizations of factors of production. But to go all the way to the new world of large language models like ChatGPT’s, show me the data.
You may ask yourself: how can Africa be part of this? Tough question because data is the most dominant competitive weapon here. And if Africa does not have the data, our productive contribution to large language model AI startups may be limited. The AI referred to in the video is the large language model type.
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Africa cannot be the focus in any AI model training, our focus for now should be on digitizing and formalizing our operations at scale; that remains the priority. No need to be misguided by sensations.