Federated Learning is necessary to avoid bias in Generative AI
As artificial intelligence becomes more integrated into our daily lives, it's important to consider the impact it has on our society. To avoid discrimination and bias, the most promising solution is federated learning, which uses a decentralized network of devices to process data, rather than relying on a central database, data warehouse or data lake. This approach helps to reduce the risk of biased results and makes it possible for a diverse group of people to contribute and help address potential biases. Join us in exploring this exciting area and how it can help shape a better future for all of us.
The challenges of the data dumpster.
"….whilst we are at it, add a list of new features and a 50x performance improvement over the traditional Delta Lake and Data Warehouse."