Best AI tools for< Conduct Research >

Profundo is an AI-powered research assistant that automates data collection, analysis, and reporting. It enables users to conduct in-depth research on various topics efficiently and accurately. With cutting-edge AI algorithms, Profundo minimizes errors, maximizes productivity, and provides user-friendly interface for seamless integration with existing tools. Trusted by professionals, Profundo is used for self-study, content creation, academic research, industry analysis, and more.

Google Research is a leading research organization focusing on advancing science and artificial intelligence. They conduct research in various domains such as AI/ML foundations, responsible human-centric technology, science & societal impact, computing paradigms, and algorithms & optimization. Google Research aims to create an environment for diverse research across different time scales and levels of risk, driving advancements in computer science through fundamental and applied research. They publish hundreds of research papers annually, collaborate with the academic community, and work on projects that impact technology used by billions of people worldwide.

The Research Center Trustworthy Data Science and Security is a hub for interdisciplinary research focusing on building trust in artificial intelligence, machine learning, and cyber security. The center aims to develop trustworthy intelligent systems through research in trustworthy data analytics, explainable machine learning, and privacy-aware algorithms. By addressing the intersection of technological progress and social acceptance, the center seeks to enable private citizens to understand and trust technology in safety-critical applications.

Personno.ai is an AI-driven market research platform that provides businesses with access to a pool of AI-generated respondents. These respondents are designed to mimic the behavior and characteristics of real human respondents, allowing businesses to conduct research studies quickly and cost-effectively. Personno.ai's platform includes a range of features that make it easy to create and manage research studies, including the ability to create custom audiences, conduct real-time interviews, and collect both qualitative and quantitative data.

Telborg is an AI tool designed for fast and credible Climate & Energy research and writing. It offers the ability to summarize PDFs using AI technology, making it easier for users to extract key information efficiently. Telborg aims to provide users with reliable and accurate climate research results through its AI-powered platform. The tool is constantly evolving and improving to meet the needs of researchers and writers in the field of climate and energy.

Prolific is a platform that allows users to quickly find research participants they can trust. It offers a diverse participant pool, including domain experts and API integration. Prolific ensures high-quality human-powered datasets in less than 2 hours, trusted by over 3000 organizations. The platform is designed for ease of use, with self-serve options and scalability. It provides rich, accurate, and comprehensive responses from engaged participants, verified through manual and algorithmic quality checks.

Anthropic is an AI safety and research company based in San Francisco. Our interdisciplinary team has experience across ML, physics, policy, and product. Together, we generate research and create reliable, beneficial AI systems.

Verk is an AI tool that offers AI-content writing and market research services. It provides users with the ability to generate blogs, content, copy, and conduct market research through AI-powered assistants named Amelia and Jake. The platform aims to assist individuals and businesses in creating high-quality written content and conducting thorough market analysis efficiently.

DMLR (Data-centric Machine Learning Research) is an AI tool that focuses on advancing research in data-centric machine learning. It organizes workshops, research retreats, maintains a journal, and runs a working group to support infrastructure projects. The platform covers topics such as data collection, governance, bias, and drifts, as well as data-centric explainable AI and AI alignment. DMLR encourages submissions around the theme of AI for Science, using AI to tackle scientific challenges and accelerate discoveries.

Tavily is an AI-powered research assistant that helps users gather information from multiple online sources and organize it into comprehensive research reports. It uses advanced algorithms and models to ensure the accuracy of the information provided and can be integrated with any LLM. Tavily is suitable for both individuals and enterprises who need to conduct research to make unbiased and informed decisions.

PromptLoop is an AI-powered web scraping and data extraction platform that allows users to run AI automation tasks on lists of data with a simple file upload. It enables users to crawl company websites, categorize entities, and conduct research tasks at a fraction of the cost of other alternatives. By leveraging unique company data from spreadsheets, PromptLoop enables the creation of custom AI models tailored to specific needs, facilitating the extraction of valuable insights from complex information.

The Center for AI Safety (CAIS) is a research and field-building nonprofit organization based in San Francisco. They conduct impactful research, advocacy projects, and provide resources to reduce societal-scale risks associated with artificial intelligence (AI). CAIS focuses on technical AI safety research, field-building projects, and offers a compute cluster for AI/ML safety projects. They aim to develop and use AI safely to benefit society, addressing inherent risks and advocating for safety standards.

Myko Assistant is an advanced AI-powered deep search tool developed by Myko AI, a top AI 100 company ranked by CB Insights in 2024. It supercharges efficiency by generating leads, conducting company research, identifying hiring targets, and more - all through simple email communication. The assistant tirelessly seeks out complete and accurate information to provide users with verified responses, ensuring unwavering accuracy in the results.

The Munich Center for Machine Learning (MCML) is a top spot for AI and ML research in Europe. It is one of six national AI Competence Centers funded by the German and Bavarian government's AI strategy. MCML brings together leading ML researchers from LMU, TUM, and associated institutions to transfer innovations and AI potential to industry and society. The center's vision is to unite leading researchers in Germany to strengthen competence in ML and AI at international, national, and regional levels, fostering talent and making potential accessible to users from various sectors.

Lede is an AI-powered content generation tool that uses data from Reddit to create long-form content, including blog posts, Q&A articles, news roundups, and research reports. It analyzes Reddit conversations, questions, and comments to generate rich, SEO-optimized articles with more than 2,000 words. Lede provides access to all the source data and a summary of key takeaways, making it easy for content creators to explore interesting ideas and create engaging content that their audience is already interested in.

Cognosys is an AI-powered assistant that helps you simplify your workflows and automate tasks. With Cognosys, you can hand off tasks to AI Agents, so you can concentrate on what really matters. Cognosys can do more than answer questions. It's capable of breaking down complex objectives by creating tasks for itself and accomplishing them autonomously.

Re-View is an AI-powered platform that enables users to conduct surveys that capture more than words by utilizing user-friendly video survey forms. The platform allows users to understand emotions, uncover insights, and collect more and better data through authentic emotional connections. With features like automatic insights, efficient research at scale, stunning simplicity, and powerful research capabilities, Re-View offers a practical pricing model that makes research accessible to all. Users can easily create surveys, analyze responses with AI assistance, and gain valuable research reports to support decision-making.

Olovka AI is an advanced AI essay writer and learning companion tailored specifically for students. It helps students write perfect essays, conduct detailed research, and transform essays into interactive quizzes for faster, active learning. Olovka's generative AI provides targeted suggestions and guides students through each phase of the essay writing process, enhancing their work without doing it all for them. It is designed to assist students in enhancing their writing skills without being considered a problem by academic institutions.

LAION is a non-profit organization that provides datasets, tools, and models to advance machine learning research. The organization's goal is to promote open public education and encourage the reuse of existing datasets and models to reduce the environmental impact of machine learning research.

YOMO is an AI-powered platform designed to help product teams build products that boost revenue and reduce churn. It offers a suite of tools for collecting feedback, conducting research, collaborating, and organizing information. YOMO leverages AI to provide automated insights, prioritize feedback, and uncover user needs and desires. The platform aims to streamline product development processes and empower teams to make data-driven decisions.

This repository contains code for research conducted by the LLM-Random research group at IDEAS NCBR in Warsaw, Poland. The group focuses on developing and using this repository to conduct research. For more information about the group and its research, refer to their blog, llm-random.github.io.

GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks. It can produce detailed, factual, and unbiased research reports with customization options. The tool addresses issues of speed, determinism, and reliability by leveraging parallelized agent work. The main idea involves running 'planner' and 'execution' agents to generate research questions, seek related information, and create research reports. GPT Researcher optimizes costs and completes tasks in around 3 minutes. Features include generating long research reports, aggregating web sources, an easy-to-use web interface, scraping web sources, and exporting reports to various formats.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

PHS-AI is a project that provides functionality as is, without any warranties or commitments. Users are advised to exercise caution when using the code and conduct thorough testing before deploying in a production environment. The author assumes no responsibility for any losses or damages incurred through the use of this code. Feedback and contributions to improve the project are always welcome.

AIW is a code base for experiments and raw data related to Alice in Wonderland, showcasing complete reasoning breakdown in state-of-the-art large language models. Users can collect experiments data using LiteLLM and TogetherAI, and plot the data using provided scripts. The tool allows for executing experiments over LiteLLM and lmsys, with options for different prompt types and AIW variations. The project also includes acknowledgments and a citation for reference.

FunClip is an open-source, locally deployed automated video clipping tool that leverages Alibaba TONGYI speech lab's FunASR Paraformer series models for speech recognition on videos. Users can select text segments or speakers from recognition results to obtain corresponding video clips. It integrates industrial-grade models for accurate predictions and offers hotword customization and speaker recognition features. The tool is user-friendly with Gradio interaction, supporting multi-segment clipping and providing full video and target segment subtitles. FunClip is suitable for users looking to automate video clipping tasks with advanced AI capabilities.

FunClip is an open-source, locally deployable automated video editing tool that utilizes the FunASR Paraformer series models from Alibaba DAMO Academy for speech recognition in videos. Users can select text segments or speakers from the recognition results and click the clip button to obtain the corresponding video segments. FunClip integrates advanced features such as the Paraformer-Large model for accurate Chinese ASR, SeACo-Paraformer for customized hotword recognition, CAM++ speaker recognition model, Gradio interactive interface for easy usage, support for multiple free edits with automatic SRT subtitles generation, and segment-specific SRT subtitles.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Awesome Agents is a curated list of open source AI agents designed for various tasks such as private interactions with documents, chat implementations, autonomous research, human-behavior simulation, code generation, HR queries, domain-specific research, and more. The agents leverage Large Language Models (LLMs) and other generative AI technologies to provide solutions for complex tasks and projects. The repository includes a diverse range of agents for different use cases, from conversational chatbots to AI coding engines, and from autonomous HR assistants to vision task solvers.

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

Generative Models by Stability AI is a repository that provides various generative models for research purposes. It includes models like Stable Video 4D (SV4D) for video synthesis, Stable Video 3D (SV3D) for multi-view synthesis, SDXL-Turbo for text-to-image generation, and more. The repository focuses on modularity and implements a config-driven approach for building and combining submodules. It supports training with PyTorch Lightning and offers inference demos for different models. Users can access pre-trained models like SDXL-base-1.0 and SDXL-refiner-1.0 under a CreativeML Open RAIL++-M license. The codebase also includes tools for invisible watermark detection in generated images.

Awesome LLM is a curated list of resources related to Large Language Models (LLMs), including models, projects, datasets, benchmarks, materials, papers, posts, GitHub repositories, HuggingFace repositories, and reading materials. It provides detailed information on various LLMs, their parameter sizes, announcement dates, and contributors. The repository covers a wide range of LLM-related topics and serves as a valuable resource for researchers, developers, and enthusiasts interested in the field of natural language processing and artificial intelligence.

The neo is an open source robotics research platform powered by a OnePlus 3 smartphone and an STM32F205-based CAN interface board, housed in a 3d-printed casing with active cooling. It includes NEOS, a stripped down Android ROM, and offers a modern Linux environment for development. The platform leverages the high performance embedded processor and sensor capabilities of modern smartphones at a low cost. A detailed guide is available for easy construction, requiring online shopping and soldering skills. The total cost for building a neo is approximately $700.

This repository, RAM, focuses on developing advanced algorithms and methods for Reasoning, Alignment, Memory. It contains projects related to these areas and is maintained by a team of individuals. The repository is licensed under the MIT License.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.

Rubra is a collection of open-weight large language models enhanced with tool-calling capability. It allows users to call user-defined external tools in a deterministic manner while reasoning and chatting, making it ideal for agentic use cases. The models are further post-trained to teach instruct-tuned models new skills and mitigate catastrophic forgetting. Rubra extends popular inferencing projects for easy use, enabling users to run the models easily.

Autogen Studio is a Docker container that provides a platform for running automated tasks using OpenAI API. It allows users to easily set up and manage a workspace for generating content and performing various tasks. The container can be run standalone or using Docker Compose, with options to mount data volumes and configure environment variables. Autogen Studio simplifies the process of leveraging AI capabilities for automating tasks and content generation.

Expert AI research question assistant.

Expert in detailed, interactive, and multilingual research analysis.

Guide in GPT creation with interactive research

Your supportive partner in SaaS sales strategy! Helps you find new leads, conducts research, and much more!

Korean report writing assistant, focused on data and research.

The Collective: Diverse expertise for well-rounded, researched responses.

Assistant for doctors in diagnosis, treatment planning, and medical research.

Especialista em Teses e Dissertações de Farmácia

Experto en educación y evaluación de aprendizajes. Parte de equipo de investigación del proyecto MEICCA

Build extensions using the Eyeware Beam eye tracking SDK

The evolutionary psychologist answers questions based on academic sources

Generates essay hypotheses with explanations across different academic fields.

A professional PHD from Harvard who studies gender and sexuality in science fiction.

Uzun ve ayrıntılı akademik danışmanlık sunar.

Assistente de Teses e Dissertações de Engenharia Nuclear

Expert on 'The Miles Paper', focusing on specimen anatomy.

Sérfræðingur í kostnaði og áhrifum vímuefnabanns

Assists with thesis on SMEs and tech adoption during COVID-19.

Expert in creating surveys for causal experimentation.