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
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
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
Our recent webinar 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. Recipes are customizable templates within the Latent AI Efficient Inference Platform (LEIP), a comprehensive software development kit (SDK) to simplify and expedite your AI development. By streamlining DevOps for ML through specialized … Continued
Part 1. The promise of Artificial Intelligence (AI) is rapidly becoming reality as its true potential begins to be tapped. The scope of what intelligent applications can do suddenly seems limitless. Re-fueled by the recent surge in Generative AI technology, continued advances promise to produce more capable intelligent systems that perceive, learn, and act autonomously on their own. But … Continued
Part 1: Optimizing Your Model with LEIP Optimize Part 2: Testing Model Accuracy with LEIP Evaluate Welcome to Part 3 of our ongoing DevOps For ML series that details how the components of LEIP can help you rapidly produce optimized and secured models at scale. In Parts 1 and 2, we have already explored model … Continued
Part 1: Optimizing Your Model with LEIP Optimize The Latent AI Efficient Inference Platform (LEIP) SDK creates dedicated DevOps processes for ML. With LEIP, you can produce secure models optimized for memory, power, and compute that can be delivered as an executable ready to deploy at scale. But how does it work? How do you … Continued
The Latent AI Efficient Inference Platform (LEIP) creates specialized DevOps processes for machine learning (ML) that produce ultra-efficient, optimized models ready for scalable deployment as executable files. But how does it work? How does AI actually go from development to deployment to a device? In this series of blog posts, we’ll walk you through the … Continued
Latent AI CEO Jags Kandasamy was recently interviewed by cybernews magazine about the state of edge AI and where the industry is headed. In the interview, Jags talks about why edge AI is the inevitable future and the rewards enterprises can gain when they get it right. Unfortunately, most are still struggling to reap the rewards edge … Continued
