class LanguageModel(nn.Module): def __init__(self, vocab_size, embedding_dim, hidden_dim, output_dim): super(LanguageModel, self).__init__() self.embedding = nn.Embedding(vocab_size, embedding_dim) self.rnn = nn.LSTM(embedding_dim, hidden_dim, num_layers=1, batch_first=True) self.fc = nn.Linear(hidden_dim, output_dim)
Building an LLM from scratch requires a "full stack" understanding of AI. From managing CUDA memory on a GPU cluster to fine-tuning the temperature of the output, every step influences the final performance.