Riding the GenAI wave
Now let’s turn our attention to GenAI models and tools. The rise of LLMs and generative models has helped democratize access to AI, bringing capabilities to companies of all sizes without the significant investment they originally needed to scale their products. It’s not the models themselves that are becoming more accessible, but the infrastructure needed to employ those models in production as well. Given the significant costs to train and deploy applications of AI in production, infrastructure as a service (IaaS) platforms exist today to help drive innovation and adoption. Some of its uses are:
- Serving as a knowledge base: Since popular LLMs like ChatGPT have come out, we’ve seen them being deployed as chatbots and virtual assistants across a variety of products and company websites. In many cases, they serve as a centralized knowledge base. Though a generalized approach might be helpful for expanding support hours or coverage...