Summary

In this chapter, we have covered a variety of introductory topics, and we also got our hands dirty with the hello-world transformer application. On the other hand, this chapter plays a crucial role in terms of applying what has been learned so far to the upcoming chapters. So, what has been learned so far? We took the first small step by setting up the environment and system installation. In this context, the anaconda package manager helped us to install the necessary modules for the main operating systems. We also went through language models, community-provided models, and tokenization processes. We have tested a very simple approach for zero-shot image classification using multimodal models and a very simple prompt. Additionally, we introduced multitask (GLUE) and cross-lingual benchmarking (XTREME), which enables these language models to become stronger and more accurate. The datasets library was introduced, which facilitates efficient access to NLP datasets provided by...