Search Results for "question answer script"
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49 projects for "question answer script" with 1 filter applied:
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Apache Answer
Free and open source Q&A platform software for all the teams.
Apache Answer is an open-source software project under incubation at the Apache Software Foundation (ASF). It empowers you to build a robust question-and-answer (Q&A) platform to thrive your community at ease. Apache Answer is capable for but not limited to: Community Forum: Open discussions and knowledge sharing within your online community. -
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WebGLM
An Efficient Web-enhanced Question Answering System
WebGLM is a web-enhanced question-answering system that combines a large language model with web search and retrieval capabilities to produce more accurate answers. The system is based on the General Language Model architecture and was designed to enable language models to interact directly with web information during the question-answering process. Instead of relying solely on knowledge stored in the model’s training data, the system retrieves relevant web content and integrates it into the reasoning process. ... -
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DriveLM
Driving with Graph Visual Question Answering
DriveLM is a research-oriented framework and dataset designed to explore how vision-language models can be integrated into autonomous driving systems. The project introduces a new paradigm called graph visual question answering that structures reasoning about driving scenes through interconnected tasks such as perception, prediction, planning, and motion control. Instead of treating autonomous driving as a purely sensor-driven pipeline, DriveLM frames it as a reasoning problem where models answer structured questions about the environment to guide decision making. ... -
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Deep Learning Interviews book
Hundreds of fully solved job interview questions
The interviews.ai repository hosts the open materials for the book Deep Learning Interviews, a comprehensive collection of technical questions and fully solved problems covering many aspects of artificial intelligence. The project was created to help students, researchers, and engineers prepare for machine learning and deep learning interviews by providing structured explanations of key concepts. The repository organizes problems across topics such as neural networks, optimization,... -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Vidi2
Large Multimodal Models for Video Understanding and Editing
Vidi is a family of large multimodal models developed for deep video understanding and editing tasks, integrating vision, audio, and language to allow sophisticated querying and manipulation of video content. It’s designed to process long-form, real-world videos and answer complex queries such as “when in this clip does X happen?” or “where in the frame is object Y during that moment?” — offering temporal retrieval, spatio-temporal grounding (i.e. locating objects over time + space), and even video question answering. Vidi targets applications like intelligent video editing, automated video search, content analysis, and editing assistance, enabling users to efficiently locate relevant segments and objects in hours-long footage. ... -
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PeterCat
A conversational Q&A agent configuration system
PeterCat is an open-source conversational agent framework designed to create automated question-and-answer assistants for GitHub repositories and technical projects. The system allows developers to build AI-powered bots that understand project documentation, GitHub issues, and other repository content in order to answer questions from users or contributors. By simply providing the repository name or URL, the platform can automatically collect relevant project information and construct a knowledge base that the agent uses to respond to inquiries. ... -
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Huatuo-Llama-Med-Chinese
Instruction-tuning LLM with Chinese Medical Knowledge
...The project builds specialized models by fine-tuning architectures such as LLaMA, Alpaca-Chinese, and Bloom with curated medical datasets. These datasets are constructed from medical knowledge graphs, academic literature, and question-answer pairs designed to teach models how to respond accurately to healthcare-related queries. The goal of the project is to improve the reliability and domain expertise of language models when answering medical questions or assisting with healthcare-related tasks. By combining domain-specific training data with instruction-tuning techniques, the project produces models capable of generating more accurate medical responses than general-purpose models. -
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Controllable-RAG-Agent
This repository provides an advanced RAG
...At query time, it anonymizes entities, creates a high-level plan, de-anonymizes and expands that plan into concrete retrieval or reasoning tasks, and executes them in sequence while continuously revising the plan. A key focus is hallucination control: each answer is verified against retrieved context, and responses are reworked when they are not sufficiently grounded in the source documents. -
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rag-search
RAG Search API
...Its architecture is modular, separating handlers, services, and utilities to support customization and extension. Overall, rag-search serves as a practical starter backend for teams building AI search or question-answering applications on their own data. -
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AI PDF Chatbot LangChain
AI PDF chatbot agent built with LangChain & LangGraph
AI PDF Chatbot LangChain is a full-stack template for building conversational agents that can ingest and answer questions about PDF documents. The project demonstrates how to combine LangChain and LangGraph with a vector database to enable retrieval-augmented question answering over user-provided files. It includes both frontend and backend components, making it suitable as a production starting point rather than just a minimal demo. The system parses uploaded PDFs into document chunks, generates embeddings, and stores them for semantic retrieval during chat interactions. ... -
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Reverse interview
Questions to ask the company during your interview
Reverse interview is a curated list of questions that tech job applicants can ask companies during interviews. It helps candidates evaluate whether a role, team, company, and work environment match their needs before accepting an offer. The repository covers practical areas such as the role, technical process, team structure, management style, company health, remote work, compensation, time off, social issues, and conflict handling. It is not meant to be used as a script or checklist to ask... -
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iOS Interview Questions
iOS interview questions
...Topics range from language fundamentals (memory management, ARC, value vs. reference types), to UIKit/SwiftUI, concurrency, Grand Central Dispatch, background execution, networking, design patterns, system frameworks, and architecture decisions. Each question is usually backed by sample explanations or code snippets, helping candidates understand not just what to answer but why it matters and how to reason about tradeoffs. Because the repo is maintained, it evolves to reflect changes in the iOS ecosystem: for example, newer Swift concurrency, Combine, SwiftUI, structured concurrency, or recent platform APIs. ... -
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Better Stack JavaScript client
Better Stack JavaScript client
Logtail is now part of Better Stack. Better Uptime and Logtail have been rebranded as Uptime and Logs on the Better Stack platform. Our mission is to help developers in building a better internet. And we believe that with the new fully integrated Better Stack platform, we’re simplifying the experience for the developers leveraging Better Stack even further. Formerly Logtail, lets you visualize your entire stack, turn your logs into structured data, and query everything like a single database... -
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why-is-node-running
For when Node is running but you don't know why
why-is-node-running is a diagnostic tool for Node.js developers that helps answer the question: “why is my Node.js process still alive?” In complex asynchronous code — with timers, open handles, network sockets, file watchers, or unfulfilled promises — it can be tricky to figure out what is preventing the event loop from exiting. This utility inspects the active handles and resources in the runtime, prints a breakdown of open callbacks, sockets, timers, and other tasks, and explains what’s keeping Node running, helping you track down leaks or unintended resource retention. ... -
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Sa2VA
Official Repo For "Sa2VA: Marrying SAM2 with LLaVA
Sa2VA is a cutting-edge open-source multi-modal large language model (MLLM) developed by ByteDance that unifies dense segmentation, visual understanding, and language-based reasoning across both images and videos. It merges the segmentation power of a state-of-the-art video segmentation model (based on SAM‑2) with the vision-language reasoning capabilities of a strong LLM backbone (derived from models like InternVL2.5 / Qwen-VL series), yielding a system that can answer questions about... -
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Rybbit
Open-source and privacy-friendly alternative to Google Analytics
Rybbit is an open-source, privacy-friendly web and product analytics platform positioned as a modern alternative to heavyweight tracking suites. It focuses on a clean UI and intuitive metrics so non-analysts can answer everyday questions without wading through dozens of reports. The data model is event-driven, enabling funnels, retention views, and simple user journeys without complex configuration. Because privacy is a first-class goal, it aims to minimize personal data collection and... -
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LangChain-ChatGLM-Webui
Automatic question answering for local knowledge bases based on LLM
LangChain-ChatGLM-Webui is an open-source web interface that integrates the ChatGLM large language model with the LangChain framework to create an interactive conversational AI platform. The project provides a graphical interface that allows users to interact with language models through chat sessions while also connecting those models to external knowledge sources. It supports retrieval-augmented generation workflows that enable the system to answer questions based on local documents or... -
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33
A project on topography and weather comparison
...We will see how far we get or if we surpass it even, e.g with weather data and more. Why 33 as the name? Even though the answers we could get from the project might be very important, they won't be "The Answer to the Ultimate Question of Life, the Universe, and Everything", so not quite 42. But why exactly 33? Well, the founder had a project given up project of self-sustainability at house number 33. As the bounds of the topic of this project now is not quite clear or well defined, it is sort of a sentimental reference to the older project. ... -
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Language Models
Explore large language models in 512MB of RAM
...By using small and optimized models, the library allows LLM inference to run in environments with limited resources, sometimes requiring only a few hundred megabytes of memory. The package provides simple APIs that allow developers to generate text, perform semantic search, classify text, and answer questions using local models. It is particularly useful for educational purposes, as it demonstrates the fundamental mechanics of language model inference and prompt-based applications. The repository includes multiple example applications such as chatbots, document question answering systems, and information retrieval tools. -
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What happens when
What happens when you type google into your browser and press enter?
What happens when is a large collaborative documentation-style project that aims to answer in exhaustive detail the canonical interview/thought experiment question, “What happens when you type google into your browser and press Enter?” Rather than giving a high-level overview, the repository tries to break down every step in the process, from low-level events (keyboard press, OS events, keyboard interrupts), through OS-level handling (keyboard scan codes, key events), parsing, DNS lookup, networking (ARP, socket creation, TCP/TLS handshake), HTTP requests, browser behavior, HTML/CSS/JS parsing, rendering engine, GPU rendering, layout, to final drawing and user-visible output. ... -
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Grade School Math
8.5K high quality grade school math problems
The grade-school-math repository (sometimes called GSM8K) is a curated dataset of 8,500 high-quality grade school math word problems intended for evaluating mathematical reasoning capabilities of language models. It is structured into 7,500 training problems and 1,000 test problems. These aren’t trivial exercises — many require multi-step reasoning, combining arithmetic operations, and handling intermediate steps (e.g. “If she sold half as many in May… how many in total?”). The problems are... -
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Deep Learning 500 Questions
500 Questions on Deep Learning using a question-and-answer format
DeepLearning-500-questions is a comprehensive handbook that compiles 500 important questions on deep learning, curated to serve as a valuable reference for AI engineer interviews and self-study. Edited by Tan Jiyong with contributions from Guo Zizhao, Li Jian, and Dian Songyi, the book systematically covers both theoretical foundations and practical applications of deep learning. The first sections focus on essential mathematics, machine learning basics, and deep learning foundations,... -
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JDecisiontable
Stop to rack your brain, start using process-oriented decision tables!
...But they keep all benefits of traditional decision tables. First of all they present the logic in a very dense form. 1. Explore all possible combinations of conditions and actions by question-and-answer. 2. Have a compact one-sheet-view on complex logic. 3. Have abandoned combinations documented. 4. Make sure that your decision table is (formally) neither incomplete nor inconsistent with one click. And the mathematics behind it is very easy and well documented ;-) 5. Get the test cases necessary to test your piece of logic with one click. 6. ... -
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chatbot chung is a keywords based probabilities algorythm simple entertainment chatbot with 3D talking openGL avatars written in freebasic. Can import aiml simple question/answer or question/random/answers or single star/ multi srai data saved from "AIML_chung" open source application . Online html5 javascript version with 44 languages multilingual auto detection available on the website (source included in the zip file). SORT gentext text generation algorythm option added (desktop version) .
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This Project will administer an exam on an applet using 4 answer mutliple choice questions. Only one answer may be selected per question. Later we may improve this but for now this is the scope. We will use XML to read and write exams.
