CIO OPINION
The splintering language model market holds opportunity for forward-thinking CIOs
Victor Szczerba, Chief Commercial Officer, Pathway, says organisations that prepare for AI models prioritising specialised functions are those that will lead during the next phase of AI.
As technologies evolve, they reach a point where they have to diversify to improve – LLMs are no exception.
The use of GenAI as a day-to-day tool in business and personal lives has skyrocketed. Now, we are preparing for the next phase, where the market will splinter towards specialist models.
As CIOs and IT leaders build strategies for the future of AI, which is developing at breakneck speed, it is crucial to understand how this fragmentation will impact the market and redefine best practices for data management and AI integration. limitations of a full-scale centralised LLM become evident here.
As a result, we can expect to see the LLM market mirror other mature technologies and fragment into a landscape of diverse, specialised models. An xLM market will rise, where the x stands for models types that fulfil unique demands. This may be regarding compactness, domain specificity, edge deployability or heightened security, for example. This emerging ecosystem offers CIOs a greater choice of models, so they can select those that fit the usual power and cost specifications – but also particular demands around privacy, portability and tailored functionality.
Enter the xLM era
LLMs have been instrumental in advancing AI by demonstrating the value of applying it to a broad array of challenges, inspiring experimentation and proving the potential of generative systems. However, we are now reaching the point of LLM maturity where bigger is not necessarily better. Some of the biggest models have already consumed all the trainable data available and started to create their own synthetic data to continue their learning.
While these mammoth systems are an impressive feat, most use cases don’ t actually benefit from their full might. An aeroplane mechanic using a language model to help them fix a new aircraft in a remote location doesn’ t need linguistic creativity, they just need concise instructions, visual aids, perhaps language translation and guaranteed accuracy. They may also benefit from being able to access the model from a mobile device with no internet connection. The
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