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A Guide for Large Language Model Make-or-Buy Strategies

What is a large language model strategy?
Large language models (LLMs) are GenAI models that are trained on an enormous amount of text data to understand and generate human-like language, which means they can help organizations process and synthesize data more quickly, uncover patterns and generate valuable insights.
How do I start learning a large language model?
17 Steps to Mastering Large Language Models (LLMs) 2Step 1: Understanding LLM Basics.
3) Step 2: Exploring LLM Architectures.
4) Step 3: Pre-training LLMs.
5) Step 4: Fine-Tuning LLMs.
6) Step 5: Alignment and Post-Training in LLMs.
7) Step 6: Evaluation and Continuous Learning in LLMs.
8) Step 7: Building and Deploying LLM Apps.
What is the difference between NLP and large language models?
NLP (Natural Language Processing) is a field of AI focused on understanding and processing human language.
LLMs, on the other hand, are specific models used within NLP that excel at language-related tasks, thanks to their large size and ability to generate text.
In addition to teaching human languages to artificial intelligence (AI) applications, large language models can also be trained to perform a variety of tasks like understanding protein structures, writing software code, and more.

What is a large language model strategy?