The Art of Personalised AI: Training ChatGPT to Understand Your Data.
Maninder Narang
Cloud Sherpa ?? | DevOps Craftsman (Senior Edition) ?? | Shaping Efficient Automations | Blending Work & Passion
Lately, I've been exploring something truly exciting in the realm of AI technology: the ability to train ChatGPT with our own data. It's astounding how quickly and efficiently this can be done. Imagine simply teaching ChatGPT about your company's unique aspects and transforming it into an expert assistant specifically catered to your needs.
Have you ever found yourself bogged down in technical details, wishing for a more straightforward approach to IT challenges? That's where this innovative use of AI steps in, offering a smart, user-friendly solution.
ChatGPT, when tailored with your specific data, becomes a digital genie in your corner – ready to resolve IT issues with unmatched speed and expertise. This isn't a distant dream; it's the new reality of IT, powered by AI's adaptability and precision.
Think about the practical applications: streamlined tasks, efficient network management, and quick customer support, all fine-tuned to your organization's unique environment and challenges. ChatGPT's adaptability to understand and integrate with your specific data and processes is what sets it apart.
Take the story of Priya, an engineer who used to spend hours navigating technical documents during server outages. Now, with a customized ChatGPT, she finds solutions swiftly and accurately, tailored to her company's systems and best practices. This AI innovation not only saves time but also brings peace of mind and efficiency to her workday.
I've put together a demonstration that vividly showcases how ChatGPT can be effectively trained to manage the specific challenges of a large IT environment. It’s not just about easing workload; it’s about redefining how we handle our daily professional tasks.
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P.S.: By the way, the audio in the video? That's an AI model's masterpiece too. Seems like AI's got a knack for voiceovers as well! ;-)
As we close this tech tale, I'd love to hear from you. Got any cool ideas for using ChatGPT with your own data? Share them in the comments – let's see what awesome AI concepts we can cook up together!"
Head of Engineering, Capgemini ER&D, ANZ region
9 个月Good PoC Maninder Narang and that reminds me of our first enterprise induction training use case developed back in 2016 using Alexa and Lex :) I liked the way you incorporated the security and ethical AI aspect. These would be bigger challenges on top of user authentication in all enterprise scenarios. My two cents: Even with the ChatGPT model, one or fewer times setting up an AI model is not enough. The model continuously needs to be monitored, evaluated, and refined with the quality of data. Yes with more data, it gets matured but for the accuracy of response, this continuous finetuning required. At the same time, within enterprises, there could be plenty of use cases where the a balance between generality and customization. e.g. every enterprise has large operationscostst spent on all apps incident/support management systems where generalization can help however, in scenarios where the AI model needs to handle sensitive data, such as PII or proprietary organization data, fine-tuning is crucial to enhance security and privacy measures.
Senior Engineering Manager l Engineering Leadership I Digital Transformation - Guidewire I Cloud Practioner I ITIL V4 l Chatbot l RPA l AI ML
9 个月Very interesting Maninder Thanks for sharing
Senior Managing Director
9 个月Maninder Narang Very interesting. Thank you for sharing
Maninder Narang Thanks for Sharing ??