Practical Edge AI Terminology for Business Decode Edge AI with a business glossary crafted by experts dedicated to unlocking the power of efficient and practical AI for real-world applications. Artificial Intelligence Artificial intelligence, or AI, refers to the technology that enables computers and machines to mimic human intelligence and problem-solving skills. Current examples of this … Continued
Today, we’re excited to introduce a range of new Latent AI partner programs. These programs not only expand our accessibility to federal and commercial customers but also provide customers and partners with the opportunity to gain hands-on experience and access resources that streamline the entire edge AI development and delivery process. Latent AI and … Continued
Driven by the urgency to solve real-world challenges, organizations increasingly recognize the power of AI. Powerful cloud-based models like large language models (LLMs) or computer vision excel in the cloud but falter when faced with locations that have low bandwidth or fluctuating connectivity to the cloud. For organizations dealing with dynamic situations like disaster recovery … Continued
Latent AI Senior ML Engineer Sarita Hedaya recently discussed the challenges and solutions surrounding edge AI implementations. AI developers, data scientists and ML engineers can spend months trying to find the optimal combination of model and device for their data. Our solutions let users skip the research and start training on their data in minutes, … Continued
Researching which hardware best suits your AI and data can be a time consuming and frustrating process that requires machine learning (ML) expertise to get right. LEIP accelerates time to deployment with Recipes, a rapidly growing library of over 50,000 pre-qualified ML model configurations that let you quickly compare performance across different hardware targets (CPUs, … Continued
Cloud computing offers more operational flexibility than privately maintained data centers. However, operational expenses (OPEX) can be especially high for AI. When deployed at scale, AI models run millions of inferences which add up to trillions of processor operations. It’s not just the processing that’s costly. Having large AI models also means more storage costs. … Continued
As a provider of cutting-edge technology, we empower our clients by helping them imagine how Latent AI can solve their unique challenges. Because we sit at the intersection of both federal and commercial interests, we see a variety of use cases that range from adding more capabilities to edge devices like drones to improving the … Continued
In a recent webinar, we shed light on the potential of LEIP Recipes to accelerate meaningful results, enhance model optimization, and minimize the time and effort invested in machine learning projects. LEIP Recipes are flexible templates within the Latent AI Efficient Inference Platform (LEIP) that equip your team with the tools necessary to work with greater DevOps for … Continued
Kili and Latent AI have partnered to make edge AI easier to implement by combining high quality data with faster training, prototyping, and deployment. By combining approaches, we can forge a path toward AI solutions that not only overcome current deployment and scalability hurdles but also lay a solid foundation for the future of AI development … Continued
Latent AI helps organizations reduce the time it takes to prototype and train edge ML, simplify their development processes, and deliver ML efficient and powerful enough for compute constrained devices. We are actively engaging in a series of strategic partnerships that help combine our solutions to move models to market faster with repeatable processes that deliver reliable, … Continued
