Let's talk about LLM tools: simple additions with massive results

Testing Large Language Models (LLMs) with complex puzzles, such as large number multiplication, serves as intriguing research benchmarks but often overlooks real-world applicability, as everyday tasks rarely require such computations without aid. Historically, humans have enhanced their capabilities with tools, and the same principle applies to LLMs; they excel in language and reasoning when supported by specialized tools for specific tasks. Arcade.dev demonstrated this by equipping OpenAI's GPT-3.5 Turbo, known for its limited innate arithmetic ability, with a Multiply tool, allowing it to solve complex multiplication accurately. This example highlights the potential of enhancing LLMs' real-world usefulness by providing them with appropriate tools, as demonstrated by GPT-3.5 Turbo's success in utilizing a broader set of math tools compared to newer, more expensive models. The experiment underscores the importance of equipping AI with tools to maximize their efficiency and cost-effectiveness in practical applications, promoting a future where AI agents tackle real-world problems effectively.