CIO
APRIL 25, 2023
Over the last few months, both business and technology worlds alike have been abuzz about ChatGPT, and more than a few leaders are wondering what this AI advancement means for their organizations. What is ChatGPT? ChatGPT is a product of OpenAI. It was 2 years from GPT-2 (February 2019) to GPT-3 (May 2020), 2.5
CIO
JULY 5, 2023
Generative AI promises an entirely new level of innovation. With generative AI, ESM platforms could not only understand the context of a user request in natural language but also comb through multiple knowledge bases to provide much more than links to information. And they won’t just get pointers to solutions.
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Openxcell
APRIL 20, 2023
In today’s fast-paced, technology-driven world, ChatGPT shines as a major breakthrough in the realm of AI language models. Developed by OpenAI and based on the GPT-4 architecture, ChatGPT is transforming the way we communicate, collaborate, and interact in our increasingly digital lives.
CIO
MAY 2, 2023
The most well-known GenAI application is ChatGPT, an AI agent that can generate a human-like conversational response to a query. James and Girish discussed three ways Generative AI is transforming retail: speeding innovation, creating a better customer experience, and driving growth. How can Generative AI speed innovation in retail?
TechCrunch
APRIL 8, 2023
If your first interview with a company is with a conversation agent or a person obviously reading generated cues from the knowledge base or whatever, do you feel like a person joining a team or a part being sized up for installation? Berri.ai – Creating ChatGPT apps as a service. Sail – Automated sales emails.
CIO
MARCH 27, 2023
Integration with cognitive intelligence (context-sensitive knowledge management, predictive analytics, and similar) will be key for doing so. These solutions are the epitome of “innovation without disruption.” The customer accepts, the call ends, and the bot steps in via text/SMS.
John Snow Labs
SEPTEMBER 26, 2023
Supriya Raman, VP of Data Science at JPMorgan, comments, “Using LLMs on domain-specific knowledge bases ensures that we can fine-tune them on data specific to our organization or domain, improving search accuracy, automating tagging, and even generating new content. Imagine a world without the need for a keyboard!”
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