AgGPT-6 Mini
AgGPT-6 Mini is a very lightweight language model designed to generate human-like text by combining multiple machine learning techniques, including attention mechanisms, token embeddings, and n-gram models. It can predict the next word or generate entire sentences based on a given input, leveraging attention to improve the contextual relevance of its predictions.
Features
- Multi-head Attention: The model uses multi-head self-attention to enhance the understanding of context in text, allowing it to generate more coherent responses.
- Positional Encoding: Utilizes sinusoidal positional encoding to retain word order information, enhancing the model's ability to understand the sequence of words in a sentence.
- N-gram Models: Incorporates bigram and trigram models for predicting the next word based on the most recent context, improving the fluency of generated sentences.
- Feed-forward Network: A simple feed-forward network is applied after the attention mechanism to further process the output, allowing for improved prediction and coherence.
license: apache-2.0
