Dive into a comprehensive video tutorial on building a bigram character-level language model, which serves as a foundation for developing more complex Transformer language models like GPT. Learn about torch.Tensor and its intricacies, efficient neural network evaluation, and the framework of language modeling, including model training, sampling, and loss evaluation. Explore topics such as dataset exploration, bigram counting, tensor visualization, model sampling, vectorized normalization, loss functions, neural network approaches, one-hot encodings, and softmax transformations. Gain practical insights through hands-on implementation, and benefit from provided resources and exercises to further enhance your understanding of language modeling concepts.