A guide to transforming pretrained LLMs into text classifiers, with insights from the author's new book on building LLMs from scratch.
Learn how to use Python libraries like Click, Jinja2, and GPT to enhance and build AI projects and applications.
A technical guide on reclaiming unused swap partition space by expanding the root partition to the left using tools like sfdisk and gparted.
A tutorial on building a generative transformer model from scratch in Julia, trained on Shakespeare to create GPT-like text.
Explores using prompt-hoisting to improve GPT-based code generation, turning tests into prompts to reduce AI's indeterminacy and ensure code correctness.
A technical guide to implementing a GPT model from scratch using only 60 lines of NumPy code, including loading pre-trained GPT-2 weights.
A technical overview of the evolution of large-scale pre-trained language models like BERT, GPT, and T5, focusing on contextual embeddings and transfer learning in NLP.
