The popularity of large language models (LLMs) has skyrocketed in recent years, fundamentally changing how businesses and individuals engage with technology. Models like ChatGPT are now widely integrated into various applications across industries, with many organizations exploring their use for customer service, content generation, code assistance, and more. However, this rapid adoption comes with its … continue reading
For many years, businesses and their data science teams valued accuracy above all else when it came to a model’s performance. Increasingly, however, other factors and trade-offs have come into play depending on the business context of models. From biases buried in training data to the costs associated with runtime and resourcing services underpinned by … continue reading
We are in the midst of a massive AI hype cycle. As generative AI advancements have surpassed all expectations in the last few years, there have also been some AI rollouts within the tech industry that were not as effective as initially hoped. Deploying generative AI within organizations in an impactful way will require a … continue reading
Nokia has introduced the “Natural-Language Networking” AI solution that uses natural language processing and AI/ML models to interpret text or speech requests and then automatically allocate the correct network resources. These networks will understand the intentions of users and have the intelligence to act upon them autonomously, according to Nokia in a post. “Operators won’t … continue reading