Over the last year, ChatGPT has dramatically changed the landscape of artificial intelligence and technology at large. Despite ongoing worries about the potential risks of AI gaining self-awareness, generative AI technologies have amazed many by accomplishing tasks once deemed unachievable.
When OpenAI, a San Francisco-based startup, launched ChatGPT on November 30, 2022, it significantly altered the tech scene. Artificial intelligence quickly moved from being a specialized idea to gaining broad recognition.
What happened as ChatGPT left its first year behind?
For decades, our interaction with machines has followed a predictable script, but this dynamic fundamentally shifted in November 2022 when machines started learning to communicate with us. By December, the influence of ChatGPT was unmistakable, sparking both astonishment and concern over the past year, as observed by Cisco’s CIO, Fletcher Previn.
Like many organizations, Cisco anticipates the integration of generative AI tools, such as ChatGPT, into every facet of both their back-end IT systems and consumer-facing products.
Ritu Jyoti, Group Vice President of IDC Worldwide AI and Automation Market Research, highlighted that the swift global ascent of ChatGPT signifies a critical juncture in AI’s public adoption. With rising investments in AI and automation, the focus on outcomes, governance, and risk management becomes paramount.
Artificial intelligence isn’t a novel idea; businesses have been investing in predictive and interpretive AI for years. Nonetheless, the introduction of GPT-3.5 captured the world’s attention, leading to an influx of investments in generative AI and large language models (LLMs), which underpin various tools.
LLMs function as engines that predict the next word, image, or code snippet. For example, ChatGPT operates on the GPT LLM framework, an algorithm that interprets natural language inputs to predict subsequent words based on previous context, continuing until a coherent response is generated.
The path towards embracing AI mirrors the initial days of cloud computing, igniting similar discussions around security, privacy, data sovereignty, and accountability.
Currently, many companies are still determining their potential return on investment (ROI) with ChatGPT and other generative AI technologies.
Avivah Litan, Distinguished Vice President Analyst at Gartner Research, notes the significant uncertainty surrounding the optimal use and benefits of these technologies.
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