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ChatGPT is one year old! Where did it come from?

Over the past year, ChatGPT has significantly transformed the field of artificial intelligence and technology as a whole.

Despite lingering concerns about the potential dangers of AI becoming self-aware, generative AI has astounded many by undertaking tasks previously thought impossible.

When OpenAI, a startup based in San Francisco, released ChatGPT on November 30, 2022, it fundamentally disrupted the technology landscape. Artificial intelligence rapidly transitioned from a niche concept to widespread acceptance.

What happened as ChatGPT left its first year behind?


Over several decades, we’ve learned how to interact with machines. This changed fundamentally in November 2022 when machines began to learn how to communicate with us. By December, it was evident that ChatGPT would make a significant impact, something that has been both surprising and somewhat alarming over the past year, as noted by Cisco’s CIO Fletcher Previn.

Like other organizations, Cisco foresees generative AI tools, such as ChatGPT, becoming integrated into every aspect of back-end IT systems and external products.

Ritu Jyoti, Group Vice President of IDC Worldwide AI and Automation Market Research, remarked that ChatGPT’s rapid global rise marks a significant milestone in the public adoption of AI. As investments in AI and automation increase, focusing on outcomes, governance, and risk management is essential.

Artificial intelligence is not a new concept; companies have long been investing in predictive and interpretive AI. However, the launch of GPT-3.5 captured global attention and led to a surge in investments in generative AI and large language models (LLMs), which support various tools.

LLMs are essentially next-word, image, or code prediction engines. For instance, ChatGPT is built on top of the GPT LLM, an algorithm that processes natural language inputs and predicts the next word based on prior context, continuing until a complete response is formed.

The journey toward AI adoption resembles the early days of cloud computing, sparking similar debates about security, privacy, data ownership, and accountability.

Currently, many businesses are still exploring where they will find return on investment (ROI) with ChatGPT and other generative AI tools.

Avivah Litan, Distinguished Vice President Analyst at Gartner Research, points out that there is considerable uncertainty about how to best utilize and benefit from these technologies.


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