ChatGPT and Generative AI: Differences, Ecosystem, Challenges, Opportunities

Generative AI has been a hot topic, especially after the launch
of ChatGPT by OpenAI. It has even exceeded Metaverse in
popularity. From top tech firms like Google, Microsoft and Adobe
to chipmakers like Qualcomm, Intel, and NVIDIA, all are
integrating generative AI models in their products and services.
So, why is generative AI attracting interest from all these
companies?


While generative AI and ChatGPT are both used for generating
content, what are the key differences between them? The content
generated can include solutions to problems, essays, email or
resume templates, or a short summary of a big report to name a
few. But it also poses certain challenges like training
complexity, bias, deep fakes, intellectual property rights, and
so on.


In the latest episode of ‘The Counterpoint Podcast’, host Maurice
Klaehne is joined by Counterpoint Associate Director Mohit
Agrawal and Senior Analyst Akshara Bassi to talk about generative
AI. The discussion covers topics including the ecosystem,
companies that are active in the generative AI space, challenges,
infrastructure, and hardware. It also focuses on emerging
opportunities and how the ecosystem could evolve going forward.



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