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Software application development is like making soup, with plenty of scope for experimentation and the introduction of new ingredients or techniques. After the hype cycle of Large Language Models (LLMs) in line with generative AI, the conversation has shifted to smaller models being used for more specific tasks. Andy Fernandez, Director of Product Management at Hycu Inc., emphasizes the importance of starting small and simple when it comes to LLMs, and suggests identifying specific use cases that are not mission-critical to use as a testing ground before implementation. This step-by-step progression will provide learning and rapid feedback loops to maximize the use of LLMs.
