Single loop learning versus double loop learning At Inchainge we believe in the value of double loop learning. Just solving the problem, also referred to as single-loop learning, is not enough. Understanding the
Take a close look at the process of decision making to ensure a rational, appropriate process is applied. What is the best methodology? Getting to double-loop learning. Understanding the right measurement methodology is essential to achieving your requirements. Number games: making sure metrics drive...
To enable LFA, use the fast-reroute command, then the area we want to protect, area 0 in our case, next we have to configure the priority, there are two options; high and low. When we use the high priority, OSPF treats loopback and /32 prefixes with higher priority. When we ...
Reinforcement learning is a feedback-based approach where an AI-driven system, or agent, learns how to behave in an environment through repeated iterations.
“A common word may have its own token, uncommon words would certainly be made up of multiple tokens, and some tokens may just be a single space followed by ‘th’ because that sequence of three characters is so common,” said Thompson. To make each prediction, the model inputs a token...
Machine learning is necessary to make sense of the ever-growing volume of data generated by modern societies. The abundance of data humans create can also be used to further train and fine-tune ML models, accelerating advances in ML. This continuous learning loop underpins today's most advanced...
AI is a machine’s ability to perform the cognitive functions we associate with human minds, such as perceiving, reasoning, learning, interacting with the environment, problem-solving, and even exercising creativity. You’ve probably interacted with AI even if you don’t realize it—voice assistan...
NVMe, or non-volatile memory express, is a type of storage/transfer protocol that increases the transfer speed of data in flash storage and solid-state drives.
Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain.
Digital twins are not static. They evolve. As data continues to be collected across the product lifecycle—data from customers, factories, IoT sensors, artificial intelligence, machine learning, PLM, and operations—it is woven into the digital thread and the digital twin becomes more accurate. As...