结合OpenAI的API,通过以下链(复制自Langchain的文档)来总结一个大文档的内容:def _create_document_summary_chain(self) -> LLMChain: """ Create the summarization chain """ map_chain = LLMChain( llm=self._quick_scan_model.llm, prompt=SummaryPrompt.get_document_summary_map_prompt() ) reduce_...
Hi guys, I'm trying build a map_reduce chain to handle the long document summarization. Per my understanding, a long document will be cut into several parts firstly and then query the summary in map_reduce mode, that really make sense. H...
publicstaticclassMyRdbmsReducerextendsReducer<Text, IntWritable, Text, IntWritable>{privateConnection c =null;publicvoidsetup(Context context) {//create DB connection...}publicvoidreduce(Text key, Iterable<IntWritable> values, Context context)throwsIOException, InterruptedException {//do summarization//in t...
{"cell_id":"2ccf8397c6dd47ebbf54e2c3c8187f93","deepnote_cell_type":"markdown"},"source":"## 通过邮包来实现 MapReduce\n\n> 官方指南:https://langchain-ai.github.io/langgraph/how-tos/map-reduce/\n\n[MapReduce](https://en.wikipedia.org/wiki/MapReduce) 对于高效的任务分解和并行...
In addition to quantization, various techniques have been proposed to maximize throughput and reduce inference costs. Flash Attention: Optimization of the attention mechanism to transform its complexity from quadratic to linear, speeding up both training and inference. Key-value cache: Understand the ...
In addition to quantization, various techniques have been proposed to maximize throughput and reduce inference costs. * **Flash Attention**: Optimization of the attention mechanism to transform its complexity from quadratic to linear, speeding up both training and inference. * **Key-value cache**:...
In addition to quantization, various techniques have been proposed to maximize throughput and reduce inference costs. * **Flash Attention**: Optimization of the attention mechanism to transform its complexity from quadratic to linear, speeding up both training and inference. * **Key-value cache**:...
In addition to quantization, various techniques have been proposed to maximize throughput and reduce inference costs. * **Flash Attention**: Optimization of the attention mechanism to transform its complexity from quadratic to linear, speeding up both training and inference. * **Key-value cache**:...