cradlepoint
Observations on LLMs for Telecom Domain: Capabilities and Limitations
The landscape for building conversational interfaces (chatbots) has witnessed a paradigm shift with recent developments in generative Artificial Intelligence (AI) based Large Language Models (LLMs), such as ChatGPT by OpenAI (GPT3.5 and GPT4), Google's Bard, Large Language Model Meta AI (LLaMA), among others. In this paper, we analyze capabilities and limitations of incorporating such models in conversational interfaces for the telecommunication domain, specifically for enterprise wireless products and services. Using Cradlepoint's publicly available data for our experiments, we present a comparative analysis of the responses from such models for multiple use-cases including domain adaptation for terminology and product taxonomy, context continuity, robustness to input perturbations and errors. We believe this evaluation would provide useful insights to data scientists engaged in building customized conversational interfaces for domain-specific requirements.
Vix Vizion Partners with Cradlepoint On Wireless Face Rec
Deployed in over 80 per cent of the gaming venues in South Australia, the new solution is part of the state's gambling law reforms to protect the community from the potential harmful effects of gambling. "We had several critical capabilities that our wireless network solution must meet to support our facial recognition devices," said Fraser Larcombe, Vix Vizion. "It must be robust, bullet-proof secure, with the ability to access each machine from anywhere. We got it all from Cradlepoint and LTE." The South Australian state government established a law reform to consolidate banned individuals lists into a single government-managed list.
Turning the Internet of Things into the "Internet of Secure Things"
Internet of Things (IoT) deployments are on the rise and driving more network traffic than ever before. Smart City, Industrial and Enterprise IoT applications are changing how cities and companies operate and the value they can create for their citizens, customers and for themselves. There is a great deal of focus on data analytics, machine learning and artificial intelligence and the role they will play in the future of IoT -- rightfully so. The combination of IoT and artificial intelligence will enable levels of insight and predictive action that only a few years ago would have been thought of as science fiction. However, this capability will only be able to be built on a "trusted" and secure network.