SPICE ModelingModel ExtractionModel QA Teamed by modeling experts and senior engineers with foundry and EDA-related experiences to global-leading foundries for over 10 years, winning a favorable reputation with advanced technologies and satisfactory services. ...
qa_model 1[code=python]2importos3importsys4importtime56importnumpy78importshelve910importtheano11importtheano.tensor as T12fromtheano.tensor.shared_randomstreamsimportRandomStreams1314classdA(object):15"""Denoising Auto-Encoder class (dA)1617A denoising autoencoders tries to reconstruct the input from a...
HTTP/1.1 200 OK Date: Wed, 06 Mar 2024 09:18:36 GMT Content-Type: application/json;charset=utf-8 Statement: AI-generated X-Ratelimit-Limit-Requests: 120 X-Ratelimit-Limit-Tokens: 120000 X-Ratelimit-Remaining-Requests: 119 X-Ratelimit-Remaining-Tokens: 119583 { "id": "as-qasge7vntb...
prompt_tokens int 问题tokens数(包含历史QA) total_tokens int tokens总数 请求示例 以访问凭证access_token鉴权方式为例,说明如何调用API,示例如下。 Bash Python # 步骤一,获取access_token,替换下列示例中的应用API Key与应用Secret Key curl 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_cred...
Quadratic Assignment (QA) Quadratic Knapsack (QK) Graph Partitioning Decisional Clique Problem Maximum Clique Problem Binary Integer Linear Programming Exact Cover 3SAT Maximal Independent Set Minimal Maximal Matching Set Cover Knapsack with Integer Weights ...
用手工编写的方式实现了完整基于个人知识库的QA Bot,采用手工编写的方式。相比于langchain,这种方法具有以下优点: 可以通过SaaS服务对每个部分进行加速, 每个部分都可以轻松地进行自定义修改。通过简单修改modelid可以使用modelscope的社区的模型,更加适合中文场景。
RQUOQA r,a : : shadow subsidies of the fixed activity level SHAC r,a,c : : share of the commodity c produced by activity a SHQE r,c : : share of domestically sold and export commodity c SHQM : : share of domestically sold and imported commodity c TB...
We propose a novel protein single-model QA method which is built on a new representation that converts raw atom information into a series of carbon-alpha (C伪) atoms with side-chain information, defined by their dihedral angles and bond lengths to the prior residue. An LSTM network is used...
机器阅读问答（Machine Reading QA）：使用 SQuAD 作为实际评估数据集。日语自然语言到代码转换（Japanese NL-to-Code）：使用 MCoNaLa 作为实际评估数据集。时间表达式规范化（Temporal Expression Normalization）：使用 Temporal 数据集作为实际评估数据集。此外，研究者还选用了 GPT-3.5-turbo 作为基准模型进行对比。
model = mix_models_with_data(model_names_or_paths=["BAAI/bge-base-en-v1.5","Shitao/bge-hotpotqa","Shitao/bge-quora"],model_type='encoder',example_ata=example_data,temperature=5.0,max_input_length=512,neg_number=2) 评估 语料库