{"id":29591,"date":"2025-03-29T22:05:46","date_gmt":"2025-03-29T14:05:46","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=29591"},"modified":"2025-07-14T11:55:14","modified_gmt":"2025-07-14T03:55:14","slug":"kblam","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/kblam\/","title":{"rendered":"KBLaM\uff1a\u4e3a\u5927\u6a21\u578b\u5d4c\u5165\u5916\u90e8\u77e5\u8bc6\u7684\u5f00\u6e90\u589e\u5f3a\u5de5\u5177"},"content":{"rendered":"<p>KBLaM \u662f\u5fae\u8f6f\u5f00\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u5168\u79f0\u662f\u201cKnowledge Base augmented Language Model\u201d\uff08\u77e5\u8bc6\u5e93\u589e\u5f3a\u8bed\u8a00\u6a21\u578b\uff09\u3002\u5b83\u901a\u8fc7\u5c06\u5916\u90e8\u77e5\u8bc6\u8f6c\u5316\u4e3a\u5411\u91cf\u5e76\u5d4c\u5165\u5927\u6a21\u578b\u7684\u6ce8\u610f\u529b\u5c42\uff0c\u8ba9\u6a21\u578b\u80fd\u76f4\u63a5\u4f7f\u7528\u8fd9\u4e9b\u77e5\u8bc6\u56de\u7b54\u95ee\u9898\u6216\u63a8\u7406\u3002\u76f8\u6bd4\u4f20\u7edf\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\uff0c\u5b83\u4e0d\u9700\u8981\u989d\u5916\u7684\u68c0\u7d22\u6a21\u5757\uff1b\u76f8\u6bd4\u4e0a\u4e0b\u6587\u5b66\u4e60\uff0c\u5b83\u7684\u8ba1\u7b97\u6210\u672c\u968f\u77e5\u8bc6\u5e93\u5927\u5c0f\u7ebf\u6027\u589e\u957f\uff0c\u800c\u4e0d\u662f\u5e73\u65b9\u7ea7\u589e\u957f\u3002KBLaM \u5728 GitHub \u4e0a\u5f00\u6e90\uff0c\u4e3b\u8981\u9762\u5411\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\uff0c\u9002\u5408\u63a2\u7d22\u5982\u4f55\u8ba9\u5927\u6a21\u578b\u66f4\u9ad8\u6548\u5730\u5904\u7406\u5916\u90e8\u4fe1\u606f\u3002\u76ee\u524d\u652f\u6301 Meta \u7684 Llama \u7cfb\u5217\u548c\u5fae\u8f6f\u7684 Phi-3 \u7b49\u6a21\u578b\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-29592\" title=\"KBLaM\uff1a\u4e3a\u5927\u6a21\u578b\u5d4c\u5165\u5916\u90e8\u77e5\u8bc6\u7684\u5f00\u6e90\u589e\u5f3a\u5de5\u5177-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/734b0efe6f4e623.png\" alt=\"KBLaM\uff1a\u4e3a\u5927\u6a21\u578b\u5d4c\u5165\u5916\u90e8\u77e5\u8bc6\u7684\u5f00\u6e90\u589e\u5f3a\u5de5\u5177-1\" width=\"796\" height=\"410\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/734b0efe6f4e623.png 1029w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/734b0efe6f4e623-768x396.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/734b0efe6f4e623-18x9.png 18w\" sizes=\"auto, (max-width: 796px) 100vw, 796px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u5c06\u5916\u90e8\u77e5\u8bc6\u5e93\u8f6c\u5316\u4e3a\u952e\u503c\u5411\u91cf\u5bf9\uff0c\u7528\u4e8e\u6a21\u578b\u589e\u5f3a\u3002<\/li>\n<li>\u4f7f\u7528\u77e9\u5f62\u6ce8\u610f\u529b\u673a\u5236\u5c06\u77e5\u8bc6\u5d4c\u5165\u5927\u6a21\u578b\u3002<\/li>\n<li>\u652f\u6301\u52a8\u6001\u66f4\u65b0\u77e5\u8bc6\u5e93\uff0c\u65e0\u9700\u91cd\u65b0\u8bad\u7ec3\u6a21\u578b\u3002<\/li>\n<li>\u8ba1\u7b97\u6210\u672c\u968f\u77e5\u8bc6\u5e93\u5927\u5c0f\u7ebf\u6027\u589e\u957f\uff0c\u6548\u7387\u9ad8\u3002<\/li>\n<li>\u5f00\u6e90\u4ee3\u7801\u3001\u5b9e\u9a8c\u811a\u672c\u548c\u6570\u636e\u96c6\uff0c\u65b9\u4fbf\u7814\u7a76\u548c\u5f00\u53d1\u3002<\/li>\n<li>\u652f\u6301\u95ee\u7b54\u3001\u63a8\u7406\u7b49\u4efb\u52a1\uff0c\u80fd\u57fa\u4e8e\u77e5\u8bc6\u5e93\u751f\u6210\u51c6\u786e\u56de\u7b54\u3002<\/li>\n<li>\u4e0d\u4fee\u6539\u57fa\u7840\u6a21\u578b\u7684\u6587\u672c\u5904\u7406\u80fd\u529b\uff0c\u4fdd\u6301\u539f\u6709\u6027\u80fd\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>KBLaM \u662f\u4e00\u4e2a\u7814\u7a76\u578b\u5f00\u6e90\u5de5\u5177\uff0c\u901a\u8fc7 GitHub \u63d0\u4f9b\u4ee3\u7801\u548c\u6587\u6863\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u548c\u4f7f\u7528\u6307\u5357\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u4e0a\u624b\u3002<\/p>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<ol>\n<li><strong>\u51c6\u5907\u73af\u5883<\/strong><br \/>\n\u9700\u8981\u5b89\u88c5 Python 3.8 \u6216\u66f4\u9ad8\u7248\u672c\uff0c\u4ee5\u53ca Git\u3002\u5efa\u8bae\u4f7f\u7528 Linux \u6216 Windows \u7cfb\u7edf\u3002\u5982\u679c\u5904\u7406\u5927\u89c4\u6a21\u77e5\u8bc6\u5e93\uff0c\u63a8\u8350\u914d\u5907 NVIDIA GPU\uff08\u5982 A100\uff0c\u663e\u5b58 80GB \u6216\u4ee5\u4e0a\uff09\u3002<\/li>\n<li><strong>\u4e0b\u8f7d\u4ed3\u5e93<\/strong><br \/>\n\u6253\u5f00\u7ec8\u7aef\uff0c\u8f93\u5165\u547d\u4ee4\u514b\u9686 KBLaM \u4ed3\u5e93\uff1a<\/li>\n<\/ol>\n<pre><code>git clone https:\/\/github.com\/microsoft\/KBLaM.git\r\n<\/code><\/pre>\n<p>\u8fdb\u5165\u9879\u76ee\u76ee\u5f55\uff1a<\/p>\n<pre><code>cd KBLaM\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u6240\u9700\u5e93\uff1a<\/li>\n<\/ol>\n<pre><code>pip install -e .\r\n<\/code><\/pre>\n<p>\u8fd9\u4f1a\u5b89\u88c5 PyTorch\u3001Transformers \u7b49\u4f9d\u8d56\u3002\u5982\u679c\u9700\u8981\u4f7f\u7528 Llama \u6a21\u578b\uff0c\u8fd8\u8981\u5b89\u88c5 Hugging Face \u7684\u5de5\u5177\u5e76\u767b\u5f55\uff1a<\/p>\n<pre><code>pip install huggingface_hub\r\nhuggingface-cli login\r\n<\/code><\/pre>\n<p>\u767b\u5f55\u65f6\u9700\u8981\u4ece Hugging Face \u751f\u6210\u4e00\u4e2a token\u3002<\/p>\n<ol start=\"4\">\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong><br \/>\n\u8fd0\u884c\u6d4b\u8bd5\u811a\u672c\u786e\u8ba4\u73af\u5883\u6b63\u5e38\uff1a<\/li>\n<\/ol>\n<pre><code>python -m kblam.test\r\n<\/code><\/pre>\n<p>\u5982\u679c\u6ca1\u6709\u62a5\u9519\uff0c\u8bf4\u660e\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<h3>\u4e3b\u8981\u529f\u80fd\u64cd\u4f5c<\/h3>\n<h4>1. \u521b\u5efa\u77e5\u8bc6\u5e93<\/h4>\n<p>KBLaM \u9700\u8981\u5c06\u5916\u90e8\u77e5\u8bc6\u8f6c\u5316\u4e3a\u5411\u91cf\u5bf9\u3002<\/p>\n<ul>\n<li><strong>\u6b65\u9aa4<\/strong>\uff1a<\/li>\n<li>\u51c6\u5907\u77e5\u8bc6\u5e93\u6587\u4ef6\uff08\u5982 JSON \u683c\u5f0f\uff09\uff0c\u793a\u4f8b\uff1a<\/li>\n<\/ul>\n<pre><code>{\"entity\": \"AI\", \"description\": \"\u4eba\u5de5\u667a\u80fd\u662f\u6a21\u62df\u4eba\u7c7b\u667a\u80fd\u7684\u6280\u672f\"}\r\n<\/code><\/pre>\n<ul>\n<li>\u751f\u6210\u5411\u91cf\uff1a<\/li>\n<\/ul>\n<pre><code>python dataset_generation\/generate_kb_embeddings.py --input knowledge.json --output embeddings.npy\r\n<\/code><\/pre>\n<ul>\n<li>\u652f\u6301\u7684\u5d4c\u5165\u6a21\u578b\u5305\u62ec\u00a0<code>text-embedding-ada-002<\/code>\u00a0\u548c\u00a0<code>all-MiniLM-L6-v2<\/code>\u3002\u8f93\u51fa\u6587\u4ef6\u00a0<code>embeddings.npy<\/code>\u00a0\u662f\u77e5\u8bc6\u5411\u91cf\u3002<\/li>\n<\/ul>\n<h4>2. \u5d4c\u5165\u77e5\u8bc6\u5230\u6a21\u578b<\/h4>\n<p>\u5c06\u77e5\u8bc6\u5411\u91cf\u5d4c\u5165\u5927\u6a21\u578b\u7684\u6ce8\u610f\u529b\u5c42\u3002<\/p>\n<ul>\n<li><strong>\u6b65\u9aa4<\/strong>\uff1a<\/li>\n<li>\u4e0b\u8f7d\u652f\u6301\u7684\u6a21\u578b\uff08\u5982\u00a0<code>meta-llama\/Meta-Llama-3-8B-Instruct<\/code>\uff09\u3002<\/li>\n<li>\u8fd0\u884c\u5d4c\u5165\u811a\u672c\uff1a<\/li>\n<\/ul>\n<pre><code>python src\/kblam\/integrate.py --model meta-llama\/Meta-Llama-3-8B-Instruct --kb embeddings.npy --output enhanced_model\r\n<\/code><\/pre>\n<ul>\n<li>\u8f93\u51fa\u4e00\u4e2a\u589e\u5f3a\u540e\u7684\u6a21\u578b\u76ee\u5f55\u00a0<code>enhanced_model<\/code>\u3002<\/li>\n<\/ul>\n<h4>3. \u6d4b\u8bd5\u589e\u5f3a\u6a21\u578b<\/h4>\n<p>\u52a0\u8f7d\u589e\u5f3a\u6a21\u578b\u5e76\u6d4b\u8bd5\u6548\u679c\u3002<\/p>\n<ul>\n<li><strong>\u6b65\u9aa4<\/strong>\uff1a<\/li>\n<li>\u8fd0\u884c\u6d4b\u8bd5\u811a\u672c\uff1a<\/li>\n<\/ul>\n<pre><code>python src\/kblam\/evaluate.py --model enhanced_model --question \"AI\u662f\u4ec0\u4e48\uff1f\"\r\n<\/code><\/pre>\n<ul>\n<li>\u6a21\u578b\u4f1a\u8fd4\u56de\uff1a\u201cAI \u662f\u6a21\u62df\u4eba\u7c7b\u667a\u80fd\u7684\u6280\u672f\u3002\u201d<\/li>\n<\/ul>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<h4>\u52a8\u6001\u66f4\u65b0\u77e5\u8bc6\u5e93<\/h4>\n<p>KBLaM \u652f\u6301\u968f\u65f6\u66f4\u65b0\u77e5\u8bc6\u5e93\uff0c\u4e0d\u9700\u8981\u91cd\u65b0\u8bad\u7ec3\u6a21\u578b\u3002<\/p>\n<ul>\n<li><strong>\u6b65\u9aa4<\/strong>\uff1a<\/li>\n<li>\u4fee\u6539\u77e5\u8bc6\u5e93\u6587\u4ef6\uff0c\u6dfb\u52a0\u65b0\u6761\u76ee\uff1a<\/li>\n<\/ul>\n<pre><code>{\"entity\": \"KBLaM\", \"description\": \"\u5fae\u8f6f\u5f00\u53d1\u7684\u77e5\u8bc6\u589e\u5f3a\u5de5\u5177\"}\r\n<\/code><\/pre>\n<ul>\n<li>\u751f\u6210\u65b0\u5411\u91cf\uff1a<\/li>\n<\/ul>\n<pre><code>python dataset_generation\/generate_kb_embeddings.py --input updated_knowledge.json --output new_embeddings.npy\r\n<\/code><\/pre>\n<ul>\n<li>\u66f4\u65b0\u6a21\u578b\uff1a<\/li>\n<\/ul>\n<pre><code>python src\/kblam\/integrate.py --model enhanced_model --kb new_embeddings.npy --output updated_model\r\n<\/code><\/pre>\n<ul>\n<li>\u66f4\u65b0\u540e\u7684\u6a21\u578b\u7acb\u523b\u53ef\u4ee5\u4f7f\u7528\u65b0\u77e5\u8bc6\u3002<\/li>\n<\/ul>\n<h4>\u8bad\u7ec3\u9002\u914d\u5668<\/h4>\n<p>\u8bad\u7ec3\u9002\u914d\u5668\u4ee5\u4f18\u5316\u77e5\u8bc6\u5d4c\u5165\u6548\u679c\u3002<\/p>\n<ul>\n<li><strong>\u6b65\u9aa4<\/strong>\uff1a<\/li>\n<li>\u4f7f\u7528\u5408\u6210\u6570\u636e\u96c6\u8bad\u7ec3\uff1a<\/li>\n<\/ul>\n<pre><code>python train.py --dataset synthetic_data --N 120000 --B 20 --total_steps 601 --encoder_spec OAI --use_oai_embd --key_embd_src key --use_data_aug\r\n<\/code><\/pre>\n<ul>\n<li>\u9700\u8981 Azure OpenAI \u7aef\u70b9\u751f\u6210\u5408\u6210\u6570\u636e\uff0c\u5177\u4f53\u89c1\u00a0<code>dataset_generation\/gen_synthetic_data.py<\/code>\u3002<\/li>\n<\/ul>\n<h4>\u590d\u73b0\u5b9e\u9a8c<\/h4>\n<p>\u4ed3\u5e93\u63d0\u4f9b\u5b9e\u9a8c\u811a\u672c\uff0c\u53ef\u590d\u73b0\u8bba\u6587\u7ed3\u679c\u3002<\/p>\n<ul>\n<li><strong>\u6b65\u9aa4<\/strong>\uff1a<\/li>\n<li>\u8fdb\u5165\u5b9e\u9a8c\u76ee\u5f55\uff1a<\/li>\n<\/ul>\n<pre><code>cd experiments\r\n<\/code><\/pre>\n<ul>\n<li>\u8fd0\u884c\u811a\u672c\uff1a<\/li>\n<\/ul>\n<pre><code>python run_synthetic_experiments.py\r\n<\/code><\/pre>\n<ul>\n<li>\u9700\u8981\u914d\u7f6e Azure OpenAI \u5bc6\u94a5\uff0c\u751f\u6210\u5408\u6210\u6570\u636e\u96c6\u3002<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li><strong>\u6a21\u578b\u652f\u6301<\/strong>\uff1a\u5f53\u524d\u652f\u6301\u00a0<code>Meta-Llama-3-8B-Instruct<\/code>\u3001<code>Llama-3.2-1B-Instruct<\/code>\u00a0\u548c\u00a0<code>Phi-3-mini-4k-instruct<\/code>\u3002\u65b0\u589e\u6a21\u578b\u9700\u4fee\u6539\u00a0<code>src\/kblam\/models<\/code>\u00a0\u4e2d\u7684\u9002\u914d\u5668\u4ee3\u7801\u3002<\/li>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u5904\u7406\u5927\u77e5\u8bc6\u5e93\u65f6\u9700\u8981\u9ad8\u6027\u80fd GPU\uff0c\u5c0f\u89c4\u6a21\u5b9e\u9a8c\u53ef\u5728 CPU \u4e0a\u8fd0\u884c\u3002<\/li>\n<li><strong>\u95ee\u9898\u53cd\u9988<\/strong>\uff1a\u5982\u9047\u95ee\u9898\uff0c\u53ef\u67e5\u770b\u00a0<code>SUPPORT.md<\/code>\u00a0\u6216\u5728 GitHub \u63d0\u4ea4 issue\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u79d1\u7814\u5b9e\u9a8c<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u53ef\u4ee5\u7528 KBLaM \u6d4b\u8bd5\u5927\u6a21\u578b\u5982\u4f55\u5904\u7406\u4e13\u4e1a\u77e5\u8bc6\uff0c\u6bd4\u5982\u5d4c\u5165\u5316\u5b66\u9886\u57df\u7684\u77e5\u8bc6\u5e93\uff0c\u63d0\u5347\u6a21\u578b\u56de\u7b54\u51c6\u786e\u6027\u3002<\/li>\n<li><strong>\u4f01\u4e1a\u95ee\u7b54<\/strong><br \/>\n\u5f00\u53d1\u8005\u53ef\u4ee5\u5c06\u516c\u53f8\u6587\u6863\u8f6c\u5316\u4e3a\u77e5\u8bc6\u5e93\uff0c\u5f00\u53d1\u667a\u80fd\u52a9\u624b\uff0c\u5feb\u901f\u56de\u7b54\u5458\u5de5\u6216\u5ba2\u6237\u7684\u95ee\u9898\u3002<\/li>\n<li><strong>\u6559\u80b2\u8f85\u52a9<\/strong><br \/>\n\u6559\u5e08\u53ef\u4ee5\u5c06\u8bfe\u7a0b\u8d44\u6599\u5d4c\u5165 KBLaM\uff0c\u5236\u4f5c\u4e00\u4e2a\u80fd\u89e3\u7b54\u5b66\u751f\u7591\u95ee\u7684\u5de5\u5177\uff0c\u63d0\u5347\u5b66\u4e60\u6548\u7387\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>KBLaM \u548c\u4f20\u7edf\u5fae\u8c03\u6709\u4ec0\u4e48\u4e0d\u540c\uff1f<\/strong><br \/>\nKBLaM \u4e0d\u4fee\u6539\u57fa\u7840\u6a21\u578b\uff0c\u53ea\u8bad\u7ec3\u9002\u914d\u5668\u5d4c\u5165\u77e5\u8bc6\u3002\u4f20\u7edf\u5fae\u8c03\u9700\u8981\u91cd\u65b0\u8bad\u7ec3\u6574\u4e2a\u6a21\u578b\uff0c\u6210\u672c\u66f4\u9ad8\u3002<\/li>\n<li><strong>\u9002\u5408\u751f\u4ea7\u73af\u5883\u5417\uff1f<\/strong><br \/>\nKBLaM \u662f\u7814\u7a76\u9879\u76ee\u3002\u5982\u679c\u77e5\u8bc6\u5e93\u4e0e\u8bad\u7ec3\u6570\u636e\u5dee\u5f02\u592a\u5927\uff0c\u56de\u7b54\u53ef\u80fd\u4e0d\u51c6\u786e\u3002\u5b98\u65b9\u5efa\u8bae\u4ec5\u7528\u4e8e\u7814\u7a76\u3002<\/li>\n<li><strong>\u5982\u4f55\u8bc4\u4f30 KBLaM \u7684\u6027\u80fd\uff1f<\/strong><br 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