(4)CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases NL2SQL的语料库——CoSQL,相当于Spider和SParC的对话版本 (5)DIN-SQL: Decomposed In-Context Learning of Text-to-
(5)Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data GenerationMeta-Sim2,这个就调整结构(语法树)了(6)Neural-Sim: Learning to Generate Training Data with NeRF也是一种合成数据生成方法,但是只是找参数(7)WizardMath: Empowering Mathematical Reasoning for Large Language Models via ...
目前已经有些工作在尝试把多模态融入,让LLM成为一个支持多模态输入输出的通用人机接口,典型的例子包括DeepMind的Flamingo和微软的“Language Models are General-Purpose Interfaces”,上图展示了这种方式的概念结构。 我的判断是无论是图像还是多模态,未来被融入LLM成为好用的功能,可能比我们想象的进度要慢。主要原因在于...
New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic ...
LLM从NLP向外进行领域拓展,一个自然的选择就是图像处理及多模态相关任务。目前已经有些工作在尝试把多模态融入,让LLM成为一个支持多模态输入输出的通用人机接口,典型的例子包括DeepMind的Flamingo和微软的“Language Models are General-Purpose Interfaces”,上图展示了这种方式的概念结构。
Response time. How long does it take to respond? Authenticity. Does it sound human or AI? Digital accessibility. Does the tool assist individuals with disabilities by providing text-based interactions, which can be easier to navigate than other interfaces?
LLM从NLP向外进行领域拓展,一个自然的选择就是图像处理及多模态相关任务。目前已经有些工作在尝试把多模态融入,让LLM成为一个支持多模态输入输出的通用人机接口,典型的例子包括DeepMind的Flamingo和微软的“Language Models are General-Purpose Interfaces”,...
LLM从NLP向外进行领域拓展,一个自然的选择就是图像处理及多模态相关任务。目前已经有些工作在尝试把多模态融入,让LLM成为一个支持多模态输入输出的通用人机接口,典型的例子包括DeepMind的Flamingo和微软的“Language Models are General-Purpose Interfaces”,上图展示了这种方式的概念结构。
LLM从NLP向外进行领域拓展,一个自然的选择就是图像处理及多模态相关任务。目前已经有些工作在尝试把多模态融入,让LLM成为一个支持多模态输入输出的通用人机接口,典型的例子包括DeepMind的Flamingo和微软的“Language Models are General-Purpose Interfaces”,上图展示了这种方式的概念结构。
Large Language Models (LLMs) are prone to generating factually incorrect information when responding to queries that involve numerical and statistical data or other timely facts. In this paper, we present an approach for enhancing the accuracy of LLMs by integrating them with Data Commons, a vast...