In March 2022, Amazon and Carnegie Mellon University announced the second class of Amazon Graduate Research fellows, marking an extension of the company’s efforts to help reinforce the work done by Master’s degree and PhD students. Now the next round of fellows has been announced. The program, launched in 2021, supports graduate students dealing with … Read more
Federated Learning is a process where distributed devices, each with its own store with local collection data, can contribute to Global Machine Learning Model without transmitting the data itself. Keeping local data reduces Federated Learning both network traffic and protects data protection. Continuous learning is the process of constantly updating a model when new data … Read more
One of the major attractions of large language models (LLMS) is that they encoding information about the real world. But the world is constantly changing, and an LLMS information is only as frown the data it was trained on. Training an LLM can take months even when the task is parallelized across 1,000 servers, so … Read more