Best AI tools for< Research Multilingual Literature >

Ivie is an AI-powered user research tool that automates the collection and analysis of qualitative user insights to help product teams build better products. It offers features such as AI-powered insights, processed user insights, in-depth analysis, automated follow-up questions, multilingual support, and more. Ivie provides advantages like human-like conversations, scalable surveys, customizable AI researchers, quick research setup, and multiple question types. However, it has disadvantages such as limited customization options, potential language barriers, and the need for user training. The frequently asked questions cover topics like supported research types, data security, multilingual research, and research findings presentation. Ivie is suitable for jobs related to user research, product development, customer satisfaction analysis, market research, and concept testing. The application can be used for tasks like conducting customer interviews, analyzing user feedback, creating surveys, synthesizing research findings, and building user personas.

DeepTranslate is a free AI bilingual translation website extension that allows users to translate web pages, articles, and social media posts in bilingual languages. It supports major translation APIs such as Google Translate, DeepL, Chat-GPT (OpenAI), Microsoft Translate, and OpenL. With support for over 140 languages, DeepTranslate offers instant translation and is praised for its accuracy and user-friendly interface. Users can easily install the plugin on their browser and enjoy seamless bilingual translation for various purposes, from academic research to international journalism.

Felo Search is a free AI search engine developed by Sparticle Inc. It utilizes artificial intelligence technology to provide users with accurate and relevant search results. The platform is designed to enhance the search experience by understanding user queries and delivering personalized results. Felo Search aims to revolutionize the way people search for information online by leveraging AI algorithms to improve search efficiency and effectiveness.

Arro is an AI-powered research assistant that helps product teams collect customer insights at scale. It uses automated conversations to conduct user interviews with thousands of customers simultaneously, generating product opportunities that can be directly integrated into the product roadmap. Arro's innovative AI-led methodology combines the depth of user interviews with the speed and scale of surveys, enabling product teams to gain a comprehensive understanding of their customers' needs and preferences.

MindOS is an AI tool designed to streamline various aspects of business operations by offering AI agents that can be trained to handle tasks such as answering customer FAQs, scheduling appointments, collecting leads, and transitioning from AI to human support seamlessly. The platform provides a user-friendly interface for incorporating data sources, developing personalized AI agents, tailoring them to brand preferences, and integrating them into websites. MindOS stands out for its powerful features, including special avatar customization, access to various data sources, easy feedback mechanisms, prompt and precise answers, voice input, whitelabeling, multilingual support, and the latest AI models.

Roundtable is an AI-assisted data cleaning tool designed for enterprise survey programming. It offers an easy-to-integrate API for cleaning open-ended survey responses, saving up to 70% of time. The tool uses real-time behavioral tracking to detect unnatural typing and programmatic entries, and it provides multilingual functionality for deploying studies to various markets. Roundtable also features GPT detection to identify bots and participants, dynamic clustering to group duplicate responses, and programmatic pre-screening to auto-reject low-quality participants. The tool is trusted by leaders and innovators for improving data quality efforts and providing reliable human-generated insights.

Meta AI is an intelligent assistant that aims to create new AI experiences for everyone. It offers enhanced capabilities in Llama 3.1, allowing users to discover new possibilities and expand their world. Users can connect with the things that matter to them, get advice, create images, and more. With AI Studio, users can create their own AI characters or explore AIs made by others. The platform also introduces the latest release of Llama 3.1 with enhanced reasoning and coding capabilities, multilingual support, and the largest open model available. Meta AI strives to help users learn, create, and do more in the field of artificial intelligence.

ReadPartner is an AI-powered tool that offers automated news digests and quick summaries of websites, videos, and documents. It simplifies media consumption by providing custom automated news digest deliveries based on language, region, and topics through email, SMS, or messaging apps. Users have full control over summary and digest settings, tailoring them to their exact needs. The tool is designed to bring AI to every household and organization, offering multilingual performance and breaking language boundaries. It summarizes web content, videos, and documents in multiple languages, making it suitable for casual users, students, and professionals to save time and enhance productivity.

Vocol is an AI-powered voice collaboration platform that empowers individuals and enterprises to collaborate efficiently by turning voice into text with high accuracy. It offers multilingual transcription in English, Chinese, and Japanese, along with features like summarization, key topic identification, and collaboration tools. Vocol aims to help teams work smarter by transforming voice data into actionable insights, boosting productivity, and enhancing teamwork.

GenIQ is an AI-powered application that allows users to interact with files through natural language. It generates concise summaries of lengthy documents using Generative AI technology. Users can work with various file types such as audio, video, PDF, and Word documents by asking questions in natural language and receiving real-time answers. GenIQ offers features like audio & video analysis, document processing, multilingual support, and handwritten document analysis.

Opal is an AI-powered study tool designed to supercharge studying for students. It offers features such as AI-powered notes, flashcards, quizzes, and advanced performance tracking. Opal allows users to upload various document types, provides multilingual support, and ensures bank-level security for stored documents. The tool is built to help students summarize, review, and learn efficiently with the assistance of AI technology.

OpenRouter is an AI tool that provides a unified interface for Large Language Models (LLMs). Users can find the best models and prices for various prompts related to roleplay, programming, marketing, technology, science, translation, legal, finance, health, trivia, and academia. The platform offers transformer-based models with multilingual capabilities, coding, mathematics, and reasoning. It features SwiGLU activation, attention QKV bias, and group query attention. OpenRouter allows users to interact with trending models, simulate the web, chat with multiple LLMs simultaneously, and engage in AI character chat and roleplay.

GetDigest is an AI-powered tool that provides lightning-fast document summarization. It can analyze web content and text documents in over 33 languages, summarizing them efficiently by ignoring irrelevant information. The technology is designed to help users process information more effectively, saving time and enhancing productivity. GetDigest offers businesses the opportunity to integrate its technology into their own infrastructure or software projects, supporting various text formats, web environments, archives, emails, and image formats.

Cabina.AI is a free AI platform that allows users to generate content, text, and images online through a single chat interface. It offers a range of AI models such as ChatGpt, DALLE, Claude, Gemini, Flux, Mistral, and more for tasks like content creation, research, and real-time task solving. Users can access different LLMs, compare results, and find the best solutions faster. Cabina.AI also provides personalized actions, organization of chats, and the ability to track various data points. With flexible pricing plans and a friendly community, Cabina.AI aims to be a universal tool for research and content creation.

Gan.AI is a Conversational AI Research and Products company that specializes in AI-powered video and audio communication solutions. The company offers a range of products and APIs for text-to-speech, video personalization, lip sync, voice cloning, and avatar creation. Gan.AI collaborates with various brands and organizations to create personalized and engaging content through the use of advanced AI technology. The company's innovative solutions aim to revolutionize communication strategies and enhance customer engagement across different industries.

Stylus is an AI-powered essay writing tool designed to assist students in creating academic papers. It offers features such as AI-driven editor, paper generator, and personal statement writer. Stylus provides comprehensive and well-structured writing, uses reliable sources, and ensures stylistic accuracy. The tool is multilingual, works on mobile devices, and guarantees original content without plagiarism. Users can benefit from the AI's ability to understand personal writing style and voice, making the writing process efficient and insightful.

Textero is an AI-powered essay writing tool that offers a comprehensive platform for generating academic essays, research papers, and summaries. It utilizes advanced algorithms and natural language processing models to streamline the writing process for students and researchers. With features like customizable text generation, plagiarism-free content, data security, real references, and time-saving capabilities, Textero aims to provide a reliable and secure platform for all academic writing needs. The tool also offers multilingual capabilities, advanced customization options, and the ability to select different essay types for deeper personalization. Textero is revolutionizing the education sector by making AI essay writing tools more accessible and popular among students.

Kafkai is an AI-powered content writer that helps users create bulk, multilingual articles with just a few clicks. It offers a range of features such as one-click generation, keyword-based generation, SEO optimization, keyword research tools, automated image integration, long article generation, multi-language support, bulk generation, and multi-article format flexibility. Kafkai is trusted by over 8,000 customers and has generated over 500,000 articles since 2019.

Flot AI is an AI-powered writing, reading, and memorization tool that seamlessly integrates into your daily workflow. It is backed by OpenAI and designed to assist users across various apps and websites. With features like AI memory, grammar correction, composing drafts, and expert prompts, Flot AI aims to enhance users' productivity and creativity. The application supports over 200 languages and offers a universal solution for writing and memory tasks at a competitive price point.

Novo AI is an AI application that empowers financial institutions by leveraging Generative AI and Large Language Models to streamline operations, maximize insights, and automate processes like claims processing and customer support traditionally handled by humans. The application helps insurance companies understand claim documents, automate claims processing, optimize pricing strategies, and improve customer satisfaction. For banks, Novo AI automates document processing across multiple languages and simplifies adverse media screenings through efficient research on live internet data.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

Awesome LLM for APR is a repository dedicated to exploring the capabilities of Large Language Models (LLMs) in Automated Program Repair (APR). It provides a comprehensive collection of research papers, tools, and resources related to using LLMs for various scenarios such as repairing semantic bugs, security vulnerabilities, syntax errors, programming problems, static warnings, self-debugging, type errors, web UI tests, smart contracts, hardware bugs, performance bugs, API misuses, crash bugs, test case repairs, formal proofs, GitHub issues, code reviews, motion planners, human studies, and patch correctness assessments. The repository serves as a valuable reference for researchers and practitioners interested in leveraging LLMs for automated program repair.

The collection is actively updated with the help of an internal literature search engine.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

Knowledge Conflicts for LLMs: A Survey is a repository containing a survey paper that investigates three types of knowledge conflicts: context-memory conflict, inter-context conflict, and intra-memory conflict within Large Language Models (LLMs). The survey reviews the causes, behaviors, and possible solutions to these conflicts, providing a comprehensive analysis of the literature in this area. The repository includes detailed information on the types of conflicts, their causes, behavior analysis, and mitigating solutions, offering insights into how conflicting knowledge affects LLMs and how to address these conflicts.

This repository is an updating survey for Continual Learning of Large Language Models (CL-LLMs), providing a comprehensive overview of various aspects related to the continual learning of large language models. It covers topics such as continual pre-training, domain-adaptive pre-training, continual fine-tuning, model refinement, model alignment, multimodal LLMs, and miscellaneous aspects. The survey includes a collection of relevant papers, each focusing on different areas within the field of continual learning of large language models.

LLM4IR-Survey is a collection of papers related to large language models for information retrieval, organized according to the survey paper 'Large Language Models for Information Retrieval: A Survey'. It covers various aspects such as query rewriting, retrievers, rerankers, readers, search agents, and more, providing insights into the integration of large language models with information retrieval systems.

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

The repository 'LLM-for-Healthcare' provides a comprehensive survey of large language models (LLMs) for healthcare, covering data, technology, applications, and accountability and ethics. It includes information on various LLM models, training data, evaluation methods, and computation costs. The repository also discusses tasks such as NER, text classification, question answering, dialogue systems, and generation of medical reports from images in the healthcare domain.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

A curated list of Generative AI projects, tools, artworks, and models

I translate books into various languages, focusing on specific chapters.

Expert in detailed, interactive, and multilingual research analysis.

Especialista em Análise de Direitos Humanos em Contextos Multilíngues

Multilingual keyword suggester, offering culturally relevant suggestions.

Provides R troubleshooting tips and forum resources.

Multilingual analytical critic.

Flexible 'why' expert with multilingual and visual insights.

Multilingual idol updates expert, nickname savvy!

Multilingual travelogue creator

Expert on Marxism from Chinese sources, adept in multilingual dialogue (马克思主义导师，支持多语言)

GPT de misterio y guía multilingüe con escena del crimen y pistas adicionales.

A Global dictionary that requires only a word to explain it in both english and its original language.

General Information Gatherer

Explains Arxiv papers with examples, analogies, and direct PDF links.

Your AI research aide for the latest in ML.

I improve marketing effectiveness by designing stunning research-led assets in a flash!

Your go-to source for well-researched information!

Spot emerging trends in the latest social science research ( (also see, just "Research Radar" for all disciplines))

Teaches and analyzes research methods with in-depth, academic insights.

Expert AI research question assistant.