关于AI传播虚假疾病信息引发关注，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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第三，ToolDescriptionsearch_corpus(query)Hybrid BM25 + dense vector search via reciprocal rank fusion (RRF) over a Chroma collection. 50 candidates are retrieved, and then reranked. The top results are returned within a token budget.grep_corpus(pattern)Regex search over the corpus. Returns up to 5 matching chunks.read_document(doc_id)Read the full content of a document by ID. Chunks are reranked and truncated to fit the remaining token budgetprune_chunks(chunk_ids)Removes specified chunks from the conversation contextThe search_corpus tool queries both sparse vectors and dense embeddings in each Chroma collection. A search issues both queries in parallel, and the results are fused via reciprocal rank fusion (RRF) to combine the strengths of keyword and semantic matching. The top 50 fused results are scored by a reranker, which selects the top results within a per-call token budget.
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面对AI传播虚假疾病信息引发关注带来的机遇与挑战，业内专家普遍建议采取审慎而积极的应对策略。本文的分析仅供参考，具体决策请结合实际情况进行综合判断。