Example of complex summarization for LLM
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Example of a complex text summarization Here's an example of a complex text summarization task that would benefit from a 100k token LLM like GPT-3: Summarizing a lengthy research paper in the biological sciences. For example, a paper on a new genetic discovery related to cancer. These papers are often 10-20 pages long and contain: • A detailed introduction that provides the scientific and medical background for the research. This context helps establish why the research is important. • An in-depth methods section describing the experimental setup, techniques and protocols used. This includes things like the protein samples studied, genes sequenced, types of assays performed, etc. • Results described across multiple sections and figures presenting things like gene expression changes, protein interactions, cell behavior, etc. across different conditions and over time. • A discussion section that synthesizes and interprets the results in the context of prior knowledge, outlines limitations and proposes future work. To accurately summarize this paper in a concise 3-5 paragraph summary would require: • Understanding the scientific background and context over multiple sentences and paragraphs. • Interpreting the complex methods and different result types presented. • Identifying the key results and trends across different sections of the paper. • Integrating the results with the background and interpreting their significance and implications. • Synthesizing the main conclusions and future directions in a coherent manner. The larger context window of a 100k token LLM allows it to maintain coherence while incorporating relevant information spread over long spans of text. This helps it generate a summary that captures the key findings and significance of the research at a high level in a factually consistent manner. Does this example help illustrate the type of complex text summarization task that would require a larger language model size? Let me know if you have any other questions. |