TLDR Tech / Dev
Everything a Senior Engineer Needs to Know About What's Inside an LLM
LLMs are made of Transformers, which use self-attention mechanisms to improve processing efficiency and address issues associated with traditional RNNs, such as sequential bottleneck and long-range decay of information. This post goes over various components of Transformers, including positional encoding, attention mechanisms, and the importance of architecture design in enhancing AI model performance.
Read the full story