模型分析与解释，比如NLP中通过构造特殊生成任务判断模型的fairness以及inductive bias. 又比如直接生成一个...
CLUEbenchmark/SuperCLUE: SuperCLUE: 中文通用大模型综合性基准 | A Benchmark for Foundation Models in Chinese (github.com)SuperCLUE是一个综合性大模型评测基准,本次评测主要聚焦于大模型的四个能力象限,包括语言理解与生成、专业技能与知识、Agent智能体和安全性,进而细化为12项基础能力。
Finally, model performance is evaluated or tested in the real world. Evaluating generative AI models is different from evaluating traditional ML models because generative AI creates an entirely new output, and the quality of this output tends to be subjective. Metrics differ based on what the model...
CLUEbenchmark/SuperCLUE: SuperCLUE: 中文通用大模型综合性基准 | A Benchmark for Foundation Models in Chinese (github.com)SuperCLUE是一个综合性大模型评测基准,本次评测主要聚焦于大模型的四个能力象限,包括语言理解与生成、专业技能与知识、Agent智能体和安全性,进而细化为12项基础能力。 BIG-bench (Beyond ...
Generative AI, sometimes calledgen AI,isartificial intelligence(AI) that can create original content—such as text, images, video, audio or software code—in response to a user’s prompt or request. Generative AI relies on sophisticatedmachine learningmodels calleddeep learningmodels—algorithms that...
Large Language Models (LLM) With the ability to generate text, summarize and translate content, respond to questions, engage in conversations, and perform complex tasks such as solving math problems or reasoning, LLMs have the potential to benefit society at scale. ...
The emergence of publicly accessible artificial intelligence (AI) large language models such as ChatGPT has given rise to global conversations on the implications of AI capabilities. Emergent research on AI has challenged the assumption that creative pot
相比NLP来说,NLP中用于训练的语料往往符合常见的用语习惯,所以NLP生成的目标是最大化序列的似然函数。然而在推荐中没有最优组合的ground truth,所以该优化目标不适用。因此我们提出了序列不似然损失函数,在最大化似然函数效率高的序列同时最小似然效率低的序列。 给定候选 X 和负向曝光序列 Y ,序列不似然损失函数...
NLP models for each domain, foundation models are enabling enterprises to shrink the time to value from months to weeks. In client engagements, IBM Consulting is seeing up to 70% reduction in time to value for NLP use cases such as call center transcript summarization, analyzing reviews and ...
RNNs are at the heart of many audio AI models, such as music-generating apps; think of music’s sequential nature and time-based dependencies. But they’re also good at natural language processing (NLP). RNNs also are used in traditional AI functions, such as speech recognition, ...