<s>[INST] What is the minimum data size needed to train a model that understands human languages?? [/INST] There is no definitive answer to this question, as different models may have different data requirements depending on their architecture, complexity and task. Some sources say that language models require only about 10 or 100 million words to learn representations that reliably encode most semantic features. A larger quantity of data is needed in order to grasp enough commonsense knowledge to master typical downstream natural language tasks.</s>\ <s>[INST] Are there research papers I can read that would help me to understand our current knowledge in this area? [/INST] Yes, there are many research papers that you can read to understand our current knowledge in natural language processing. For example, you can check out this IEEE journal article that provides an overview of natural-language processing and its applications: https://ieeexplore.ieee.org/document/295134. You can also browse through this website that lists the latest research papers on natural language processing from various sources: https://www.sciencegate.app/keyword/4195. Alternatively, you can read this PDF document that introduces the basic concepts and techniques of natural language processing: https://www.researchgate.net/publication/325772303_Natural_Language_Processing. Finally, you can look at this systematic literature review that analyzes natural language processing applications in different domains and identifies the current state and challenges of the technology: https://link.springer.com/chapter/10.1007/978-3-030-63128-4_49.

I hope these resources will help you learn more about natural language processing and its potential.</s>