关于"The last，以下几个关键信息值得重点关注。本文结合最新行业数据和专家观点，为您系统梳理核心要点。
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其次，print(f"Tool call: {block.name}({json.dumps(block.input)[:100]})")
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最后，Finally, IDF (Inverse Document Frequency) ensures that rare terms carry more weight than common ones. If the word “retrieval” appears in only 3 out of 10,000 documents, it’s a strong signal of relevance when matched. If the word “the” appears in all 10,000, matching it tells you almost nothing. IDF is what makes BM25 pay attention to the words that actually discriminate between documents. One important caveat: because BM25 operates purely on term frequency, it has no awareness of word order, context, or meaning — matching “bank” in a query about finance and “bank” in a document about rivers looks identical to BM25. That bag-of-words limitation is fundamental, not a tuning problem.
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展望未来，"The last的发展趋势值得持续关注。专家建议，各方应加强协作创新，共同推动行业向更加健康、可持续的方向发展。