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In the rapidly evolving generative AI landscape, Large Language Models (LLMs) could shape the way businesses approach training and development, by virtue of how staff within an organisation can access and interact with relevant knowledge. The comparison between the desire for proprietary LLM technology (for instant use and value) and the interest in bespoke, in-house models that offer greater control and mitigation of risk of miscommunication, is something we often discuss to clients and customers. Will we perhaps one day soon see more enterprise level users of OpenAI for example transition to in-house models, like how every company wants to own their own personalised website that reflects their unique style and message?

The Impact of LLMs on Staff Training and Development

LLMs offer a revolutionary approach to providing point-of-need support and training for staff. By leveraging a company’s knowledge base, these models can deliver tailored training content, respond to specific queries in real-time, and offer a more interactive and engaging learning experience. This on-demand learning support is not just a futuristic concept; it’s a practical tool that aligns with the dynamic needs of modern workplaces. We at Discover eLearning have started to work this level of generative AI implementation into bespoke training data for online learning experiences with the recent version 2.3 release of our eLearning Magic Toolkit plugin for WordPress. Go and check this out if you haven’t yet discovered how simple the eLM Toolkit makes the process of implementing and fine-tuning ChatGPT with your own knowledgebase content.

Could We See A Trend Towards In-House LLM Use For Organisation L&D?

Imagine a future where businesses, irrespective of their size, operate their own in-house LLMs. This scenario isn’t far-fetched. Much like the evolution of websites – from a luxury to a necessity, LLMs could follow a similar trajectory. Companies might develop LLMs built on open-source technology like LLAMA2 (the model for which can be downloaded right now for free) that not only aligns with their informational needs but also mirror language and audience engagement strategy. The ability to dictate the direction, tone, and content of these models offers an unprecedented level of customisation in organisational communication and learning.

The Future: Proprietary vs. Open-Source LLMs

As businesses become more familiar with the workings of LLMs, the allure of proprietary models may wane. The freedom to tailor an LLM to specific organisational needs and preferences, much like curating a website, presents a compelling case for customisable models. This shift could herald a new era in which businesses prioritise control over convenience, choosing to develop LLMs that are not only tools for information exchange but also embodiments of their brand and ethos.

The future of LLMs for L&D purposes beckons an intriguing question: Will the trend lean towards proprietary models due to their ease of use, speed, and reliability, or will we witness a surge in customised in-house LLMs as companies seek greater control and personalisation? As we stand at this crossroads, it’s worth pondering whether the understanding and management of LLMs will evolve to a point where the bespoke approach becomes not just feasible, but preferable. The answer, while still unfolding, promises to redefine the landscape of corporate training and communication.

For a greater insight into whether you should be considering an open source LLM for your business, check out this video made by IBM Technology:

Chris Hodgson

Chris Hodgson is an award-winning Digital learning Solutions Developer and Director of Discover eLearning Ltd. He supports organisations of all sizes to implement engaging, meaningful, and impactful eLearning solutions. Chris has 15 years’ experience working in both private and public sector learning and development.

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