One-hot encoding
One-hot encoding is a powerful technique widely used in machine learning to transform categorical data into a format that algorithms can easily interpret. By converting categorical variables into bina...
Large language model architecture (Llama)
Large language model architecture (Llama) leverages cutting-edge techniques in natural language processing (NLP) to revolutionize the way machines understand and generate human-like text. This advance...
Q-learning
Q-learning is a fascinating technique within the broader realm of reinforcement learning. It empowers agents to learn optimal behaviors in various environments through trial and error, all while makin...
Consensus algorithms
Consensus algorithms are pivotal mechanisms that facilitate agreement among disparate nodes within a network. These algorithms are essential for maintaining the integrity and functionality of distribu...
