Search results for "answering"

M6 is a general-purpose multimodal large model developed by Alibaba DAMO Academy. In October 2021, it became the world's first AI pre-trained model with 10 trillion parameters. Based on the self-developed Whale distributed framework, it was trained in just 10 days using only 512 V100 GPUs, with energy consumption only 1% of GPT-3. It supports tasks such as image and text generation, visual question answering, and poetry creation, and has been deployed in more than 40 scenarios, including Tmall virtual anchors and Taobao search. It is the core predecessor of the Tongyi Thousand Questions large model.

2026-07-02

PubMedQA is the first question-answering dataset requiring reasoning over biomedical research texts; it was released in 2019 by institutions including the University of Pittsburgh. The task involves answering "Yes," "No," or "Maybe" questions based on PubMed abstracts. Comprising 1,000 expert-annotated samples and 211,000 artificially generated ones, the dataset aims to evaluate the ability of AI models to comprehend and reason about complex medical literature. It is widely used to benchmark the performance of large language models in the medical domain.

2026-07-10

AMiner is an AI research assistant developed by the Department of Computer Science at Tsinghua University. It contains hundreds of millions of documents and tens of millions of scholar entities and relationship networks. Its core functions include AI academic search, document knowledge base question answering, translation into 20+ languages, and AI-assisted writing and editing. In 2025, it launched the "AMiner Contemplation" function, which integrates GLM-Z1-Rumination deep thinking capabilities. It can autonomously plan search strategies and iterate multiple times, covering the entire research assistance chain from precise document location to knowledge structure deconstruction.

2026-07-14

ThinkAny is an AI search engine based on RAG (Retrieval Augmentation) technology. By aggregating high-quality online content and combining it with AI-powered question answering, it provides direct and accurate answers rather than lists of links. It supports multimodal search, mind-map-style summaries, and has spawned the desktop AI agent WorkAny. Developed by its creators in a single weekend, it gained 170,000 users within three months of its launch.

2026-07-14

WenXiaobai is an AI-assisted tool developed by the Palu AI team, focusing on all scenarios of office work, creative writing, and learning. It integrates core capabilities such as intelligent question answering, copywriting generation, content optimization, and data organization, providing self-media creators, marketers, and professionals with end-to-end AI assistance from topic selection and outline generation to full-text polishing. The platform also offers a massive database of sample essays covering official documents, academic writing, literature, and other fields, helping users efficiently complete various writing tasks.

2026-07-14

Spark Knowledge Base Document Q&A is a document question-answering service built by iFlytek based on the Spark large model and knowledge base. It supports multi-document Q&A, document knowledge base management, source citation positioning, document summarization, and custom segmentation. It efficiently retrieves document information and accurately answers professional questions, suitable for enterprise knowledge management, academic research, legal consultation, and more, improving document processing and information access efficiency.

2026-07-20

Tabby is an open-source, self-hosted AI coding assistant designed to bring the power of AI to your development workflow while keeping you in control. Whether coding in the cloud or on-premises, Tabby offers a flexible, transparent, and highly configurable alternative to proprietary solutions. It features cutting-edge AI capabilities for code completion, answering queries, inline chat, and more, easily integrates with existing infrastructure including Cloud IDEs, supports consumer-grade GPUs, and requires no external DBMS or cloud services, ensuring software supply chain safety.

2026-07-17

ChatDOC is an AI-powered document assistant that supports uploading PDF, Word, Excel, PPT and other formats. It enables users to quickly extract information, summarize content, and answer questions through conversation. Leveraging large language models to understand document structure, it provides accurate citation sources, ideal for academic research, legal contracts, business reports, and more, significantly boosting document processing efficiency.

2026-07-20

Ernie Bot is Baidu's intelligent AI assistant powered by the Wenxin large model. It offers features including conversational chat, Q&A, image generation, image recognition, copywriting, document reading, and smart translation. It serves as both your smart companion for chatting, answering questions, and drawing, and your efficient work assistant for writing copy, reading documents, and translating content, helping you easily complete study and work tasks. Ernie Bot supports multi-turn dialogues and context understanding, suitable for personal users, creators, and professionals in various scenarios.

2026-07-22

Introduction: Why Does Your ChatGPT Always Underperform? Folks, have you ever felt like your ChatGPT behaves like a fresh intern—answering only when asked, and often missing the mark entirely? Meanwhi...

A Claw skill developed by compound-life-ai, integrated in the Turri repository, providing health question answering functionality. Users can ask natural language questions about diseases, symptoms, medications, nutrition, and other health-related topics. The skill leverages pre-trained models and medical knowledge bases to assist users in quickly accessing health information, but should not replace professional medical diagnosis.

A custom AI skill configuration for quickly answering healthcare insurance questions, including policy clause interpretation, reimbursement calculation, claim document preparation, and FAQ. Based on structured prompts, it enables AI to handle insurance queries more accurately and professionally, suitable for agents, claim processors, and general users.