Graphs and Prompting
Maciej discusses the practical applications of graph problems, emphasizing how many algorithms can be optimized through set intersection techniques. He also explores the concept of prompt engineering, highlighting the importance of structuring prompts into manageable sub-steps to enhance interactions with large language models. This approach not only improves clarity but also increases the effectiveness of the responses generated.In this clip
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Data Skeptic
Graphs for HPC and LLMs
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