Pietro is a highly motivated software engineer with a passion for developing cutting-edge search engine solutions. Throughout his career, he has garnered valuable experience at Adelean and the INA (French media institution responsible for preserving and promoting French audio-visual heritage), where he honed his expertise in utilizing Elasticsearch to deliver efficient and effective search results.
His background includes a solid foundation in machine learning and computer vision, which enables him to integrate intelligent algorithms into his work. He maintains a proactive approach to learning, staying current with the latest advancements in the field.
Outside of his professional endeavors, Pietro enjoys reading, participating in sports activities, and coding for leisure. These hobbies not only provide relaxation and rejuvenation but also opportunities to explore new ideas and experiment with diverse programming techniques.
Overall, Pietro is an enthusiastic and dedicated software engineer who thrives on solving complex problems and pushing the boundaries of search engine development.
In the rapidly evolving landscape of AI and machine learning, prompt engineering has emerged as a central skill for harnessing the full potential of large language models (LLMs).
In this short talk, we will dive deep into prompt engineering, exploring all kinds of prompt patterns, in order to provide practical insights into crafting effective prompts that drive precise LLM responses.
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