#GPT2

This workshop explores large language models with Megatron-GPT2 architecture through detailed trainings and experiments. It addresses model scaling, training dynamics, and instabilities, supported by extensive documentation and logs. Providing resources like code repositories and training scripts, the project fosters transparency and collaboration within the AI community, guiding toward future advancements in language models.

This detailed guide offers a comprehensive collection of state-of-the-art resources in the field of Large Language Models (LLM), covering key topics such as algorithms, training processes including fine-tuning and alignment, as well as inference and data engineering. It explores model compression techniques, evaluation metrics, and prompt engineering, supported by diagrams and practical examples. The guide provides insights into models like Transformer, GPT, and MoE, while looking into future multimodal model developments. Including links to in-depth guides and code repositories, it is a crucial resource for staying informed in the rapidly evolving domains of AI and machine learning.

Learn the foundational elements of GPT2, the precursor to ChatGPT, through standard Excel functions. This initiative offers an accessible gateway for all users to engage with a tangible transformer model in Excel, minimizing the need for in-depth coding knowledge. Access the Excel binary file from the repository for seamless use on both Mac and PC, free from VBA or macro dependencies. For added safety, utilize Excel's Trust Center to manage macro settings. Perfect for those interested in AI's inner workings in a familiar spreadsheet setting.