AI and Machine Learning With Python From handling complex datasets to building multifunctional models, Python’s adaptability makes it the go-to language for machine learning, AI, and data science. Our developers navigate this ecosystem with ease, using tools like TensorFlow, Pandas, and NumPy to ...
Code reviews are vital for producing high-quality Python code. They improve the code being reviewed and help developers grow, learn, and collectively promote coding standards and best practices across the team. AI Assistants Artificial intelligence (AI) and large language models (LLMs) are getting...
In most other cases,CMDshould be given an interactive shell, such as bash, python and perl. For example,CMD ["perl", "-de0"],CMD ["python"], orCMD ["php", "-a"]. Using this form means that when you execute something likedocker run -it python, you’ll get dropped into a usab...
2. Using LLMs to Convert Unstructured Data to Knowledge Graphs Noah demonstrates how LLMs can be used for entity extraction, semantic relationship recognition, and context inference to generate interconnected knowledge graphs. This is a great inspiration to harness LLMs for your uses of unstructured...
In most other cases,CMDshould be given an interactive shell, such as bash, python and perl. For example,CMD ["perl", "-de0"],CMD ["python"], orCMD ["php", "-a"]. Using this form means that when you execute something likedocker run -it python, you’ll get dropped into a usab...
顺便,也趁此机会作为今年一个被选中EMNLP Outstanding Paper的共一作之一,自我宣传一下hhh 欢迎来看我们“MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks" 在11/7号的oral presentation,很期待与大家分享我们的工作～ 不知大家发现没有,今年数据集或者以数据集为核心贡献的文章包圆...
LLMApp LLM App is a Python library that helps you build real-time LLM-enabled data pipelines with few lines of code. LLMFlows LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents. LLMonitor Observability...
fromqianfan.datasetimportDatasetfromqianfan.trainerimportFinetune# 加载千帆平台上的数据集ds:Dataset=Dataset.load(qianfan_dataset_id="ds-xxx")# 新建trainer LLMFinetune,最少传入train_type和dataset# 注意fine-tune任务需要指定的数据集类型要求为有标注的非排序对话数据集。trainer=Finetune(train_type="ERNIE-...
想象下你在用 python 写面相对象的程序时，一段段整齐的类方法就是天然的 in-context 数据，LLM 可能...
要理解这个优化效果,我们需要了解 LLM 响应中的一个重要概念:首 Token 延迟(TTFT, Time to Frsit Token)。这是从发送请求到收到模型第一个 token 响应所需的时间。 “在线服务场景中,如聊天机器人,大语言模型推理一般都采用流式输出(streaming)的形式,LLM 推理的 TTFT 就是用户感受到的 LLM 推理服务的响应...