I’ve always struggled with planning. Setting a deadline was easy, but figuring out what I should be doing today was always the hard part.Most tools assume you plan forward from day 1, but in real life you usually start with a fixed date — an exam, a trip, a launch, a wedding. I kept failing to stay consistent because forward planning never told me when each step should realistically happen.A...
Furthermore, ChatGPT (and other LLMs) is trained on a massive corpus of text, books, articles, websites, etc. From that training, the model learns patterns in how words, phrases, and sentences related to one another. It doesn't explicitly understand what a "dog" or "love" means in the human sense, but it understands it patterns about how they are expressed and used in language.
Without going into too much details, it also uses other techniques like Probabilistic Modeling and Semantic Representations to essentially be able to provide you with what it does currently.
If you wish to dive deeper and do some research, I'd recommend checking out the following:
1. Transformer Architecture 2. Self-Attention Mechanism 3. Pre-trained language models 4. Embeddings and Semantic Space 5. Attention is All You Need - which is a paper published by Vaswani et al., very interesting publication that is a key for understanding the self-attention mechanism and how it powers modern NLP models like GPT. 6. Contextual Language Models
I think those 6 would cover up all your questions and doubts