Language Models and Practical Differences
Language Models and Practical Differences
Objective:
By the end of this module, learners will:
Gain clarity on the landscape of popular Language Models (GPT-3.5, GPT-4, Bard, Llama, etc.).
Understand the trade-offs between cost, speed, and context limits.
Explore typical use cases (content creation, customer support, text analysis) and how to match a model to a specific task (simple vs. complex).
Develop a structured approach to selecting the right model for a given scenario.