1. Linked lists (Stacks and Queues)

2. Natural Language Processing

3. Large Language Learning Models

4. Application Programming Interfaces

1. Linked lists are fundamental data structures in computer science and are used to store a collection of items with each item pointing to the next one. They are commonly used in various algorithms and applications, such as in implementing other data structures like stacks and queues.

2. Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. It involves the development of algorithms and models to enable computers to understand, interpret, and generate human language in a valuable way.

3. Large Language Learning Models have gained significant attention in recent years due to their remarkable capabilities in various NLP tasks. These models, such as GPT-3 (Generative Pre-trained Transformer 3), have millions or even billions of parameters and are trained on vast amounts of text data, enabling them to perform tasks like language translation, summarisation, and more.

4. Application Programming Interfaces (APIs) are sets of tools and protocols that allow different software applications to communicate with each other. They are essential for enabling the integration of different services and systems, providing a way for developers to access the functionality of other programs and services.

In summary: My study of these diverse range of topics spans the realms of computer science, artificial intelligence, and software development. It showcases my understanding of the different interdisciplinary science research within the field of computer science.

Linked Lists, which are also made up of stacks and queues are the building blocks of natural language processing and large language learning models. They pull together millions of unique data points, forming the foundation for grammar and vocabulary interpretation.

They are also the networks that form the artificial neural net behind LLMs technology and science. Together, they pull together and form real connections to multitude of data categories and thereby enabling artificial intelligence to form.

In this reflection, I reflect upon the dependency of APIs in forming the bulk of the artificial intelligence expansion in capabilities (ChatGPT4.0).