👉 Gas math is a method used in computational linguistics, particularly in the field of natural language processing (NLP), to quantify and compare the computational resources required by different models or algorithms for tasks like language translation, text generation, or sentiment analysis. It's based on the concept of "gas," a unit that measures energy consumption in computational tasks, where each token (word or subword) typically consumes a fixed amount of gas. By calculating the total gas required for a model to perform a task, researchers can benchmark models' efficiency and scalability. Lower gas consumption generally indicates a more efficient model, making gas math a crucial tool for comparing and selecting the best models for specific applications.
