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Generative AI and Language Models (LLMs) have been instrumental in creating advanced output from simpler input. From crafting entire books to conjuring convincing illustrations, AI models such as these have held immense potential, albeit known to few. ChatGPT, with its user-friendly interface and easy-to-understand features, makes this intriguing world of AI accessible to many. To help you harness the full potential of these transformative technologies, we provide five initiatives to implement within your organization.
Why wrestle with repetitive tasks such as writing emails, summarizing articles, or even coding when you have Language Models to assist. Not only are these AI tools efficient, but they also provide practical insights into the strengths and shortcomings of AI-led operations.
Foster a culture of shared learning where everyone can share their experiences, positive outcomes, and good practices. Whether it's a dedicated website, Confluence documentation, or a manageable spreadsheet; the goal remains a helpful exchange of real-world use cases. Make it beginner-friendly and follow a consistent format for easier understanding.
Even though most are acquainted with AI due to ChatGPT's popularity, many still struggle to comprehend its actual functioning. Workshops can provide the enriching experience of understanding LLMs better. They can also help to share more practical applications, common misconceptions, and even the potential pitfalls of using these models.
Once your organization has grasped the workings of LLMs, consider identifying manual, time-consuming processes that happen frequently for automation. Find ways how AI can simplify or even bypass certain steps. Even a semi-automated task can greatly save time. A host of low hanging fruits await your attention in this regard. Have a look at these examples for marketing, sales and HR/administration.
As your business scales, managing customer support becomes increasingly demanding. This is where customer support chatbots come into play. These AI-backed interfaces can handle countless queries simultaneously and considerably reduce wait times. After initial internal testing and refining, chatbots become a part of the self-service support your customers will appreciate.
These are just some of the ways to get started, and the possibilities are endless in the realm of AI and language models. The goal is not to master it but to adapt and evolve with the technology. The question now is, how are you planning to implement AI in your organization?
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