Best AI tools for< Reduce Research Costs >

ResearchGoat is a generative AI-powered research platform that enables clients to conduct in-depth qualitative research and interviews with unprecedented speed and genuine insights. The platform offers shockingly lower costs compared to traditional consumer research, AI moderators that can converse in any language, and the ability to recruit participants and conduct interviews efficiently. ResearchGoat empowers users to focus on understanding their customers by providing comprehensive insights and analysis from real people.

GrapixAI is a leading provider of low-cost cloud GPU rental services and AI server solutions. The company's focus on flexibility, scalability, and cutting-edge technology enables a variety of AI applications in both local and cloud environments. GrapixAI offers the lowest prices for on-demand GPUs such as RTX4090, RTX 3090, RTX A6000, RTX A5000, and A40. The platform provides Docker-based container ecosystem for quick software setup, powerful GPU search console, customizable pricing options, various security levels, GUI and CLI interfaces, real-time bidding system, and personalized customer support.

Tribe AI is a modern consultancy specializing in AI, data, and machine learning, helping organizations leverage artificial intelligence. The platform offers bespoke AI solutions, advisory services, and GenAI acceleration to unlock the potential of cutting-edge technology. Tribe AI connects top AI talent with companies across various industries, such as healthcare, venture capital, insurance, private equity, and technology, to optimize operations and drive innovation. The platform also features a network of experienced AI researchers, data scientists, ML engineers, and AI fairness experts, ensuring high-quality and secure AI solutions for clients.

AiPlus is an AI tool designed to serve as a cost-efficient model gateway. It offers users a platform to access and utilize various AI models for their projects and tasks. With AiPlus, users can easily integrate AI capabilities into their applications without the need for extensive development or resources. The tool aims to streamline the process of leveraging AI technology, making it accessible to a wider audience.

Insitro is a drug discovery and development company that uses machine learning and data to identify and develop new medicines. The company's platform integrates in vitro cellular data produced in its labs with human clinical data to help redefine disease. Insitro's pipeline includes wholly-owned and partnered therapeutic programs in metabolism, oncology, and neuroscience.

Salieri is a multi-agent LLM home multiverse platform that offers an efficient, trustworthy, and automated AI workflow. The innovative Multiverse Factory allows developers to elevate their projects by generating personalized AI applications through an intuitive interface. The platform aims to optimize user queries via LLM API calls, reduce expenses, and enhance the cognitive functions of AI agents. Salieri's team comprises experts from top AI institutes like MIT and Google, focusing on generative AI, neural knowledge graph, and composite AI models.

PDFMerse is an AI-powered data extraction tool that revolutionizes how users handle document data. It allows users to effortlessly extract information from PDFs with precision, saving time and enhancing workflow. With cutting-edge AI technology, PDFMerse automates data extraction, ensures data accuracy, and offers versatile output formats like CSV, JSON, and Excel. The tool is designed to dramatically reduce processing time and operational costs, enabling users to focus on higher-value tasks.

expert.ai is an AI platform that offers natural language technologies and responsible AI integrations across various industries such as insurance, banking, publishing, and more. The platform helps streamline operations, extract critical data, drive revelations, ensure compliance, and deliver key information for businesses. With a focus on responsible AI, expert.ai provides solutions for insurers, pharmaceuticals, publishers, and financial services companies to reduce errors, save time, lower costs, and accelerate intelligent process automation.

NovaResp cMAP™ is an AI-powered platform software designed to improve adherence to Continuous Positive Airway Pressure (CPAP) therapy for sleep apnea patients. It utilizes artificial intelligence and machine learning to predict and prevent apnea episodes during therapy, delivering personalized treatment at more comfortable air pressure levels. The application aims to enhance patient quality of life, increase sales for device manufacturers, and reduce labor costs for DMEs. NovaResp cMAP™ is compatible with all major PAP machines and is a revolutionary solution in the treatment of Obstructive Sleep Apnea (OSA).

Andrew Roche AI is a powerful AI tool that revolutionizes how businesses interact with technology, enhancing productivity, driving innovation, and enabling informed decision-making. It significantly boosts efficiency and productivity by automating tasks, analyzing data, and providing actionable insights. The tool helps businesses reduce costs, optimize resource allocation, and personalize customer experiences. With AI, organizations can make strategic decisions, reduce expenses, expedite innovation, and stay competitive in a rapidly evolving landscape.

Legal AI is an AI-based legal assistant designed to simplify legal tasks, save time, and reduce costs associated with legal interactions. It aims to complement rather than replace human users, offering a user-friendly tool for navigating legal processes. The platform is powered by advanced AI technology to provide efficient and effective legal support.

Galton AI is a platform offering custom generative AI solutions for enterprises. It provides services such as custom AI agents, workflow automations, generative AI consulting, and various use cases like automating customer support, compliance, proposal generation, data analysis, research, sales & marketing. The platform aims to streamline workflows, reduce costs, and drive efficiency by integrating AI into business processes. Galton AI helps businesses optimize infrastructure, enhance security, automate IT operations, marketing, sales, finance, customer experience, and people operations.

Kovil.AI is an AI-powered platform that connects businesses with top AI talents from India's largest network. The platform offers a vetting process to match businesses with hand-picked Indian developers, covering a wide range of expertise in AI, machine learning, data science, and more. Kovil.AI aims to empower ambitious businesses by providing access to specialized, high-caliber AI professionals, accelerating the hiring process, and reducing costs. The platform also offers managed services and products, ensuring flexibility, adaptability, and a competitive advantage for businesses seeking top talent.

Gastrograph AI is a cutting-edge artificial intelligence platform that empowers food and beverage companies to optimize their products for consistent market success. Leveraging the world's largest sensory database, Gastrograph AI provides deep insights into consumer preferences, enabling companies to develop new products, enter new markets, and optimize existing products with confidence. With Gastrograph AI, companies can reduce time to market costs, simplify product development, and gain access to trustworthy insights, leading to measurable results and a competitive edge in the global marketplace.

Perceive Now is the world's first Large Language Model fine-tuned with IP and Market Research data. It offers custom IP and Market reports for various industries, providing detailed insights and analysis to support decision-making processes. The platform helps in identifying market trends, conducting due diligence, managing deal flow, and maximizing IP and licensing opportunities. Perceive Now is a game-changer in prior art search, increasing the odds of patent grant success. It has significantly reduced research costs and time, accessing over 100M IP and market data sources and assisting in securing funding worth $500M.

Hypergro is an AI-powered platform that specializes in UGC video ads for smart customer acquisition. Leveraging the 4th Generation of AI-powered growth marketing on Meta and Youtube, Hypergro helps businesses discover their audience, drive sales, and increase revenue through real-time AI insights. The platform offers end-to-end solutions for creating impactful short video ads that combine creator authenticity with AI-driven research for compelling storytelling. With a focus on precision targeting, competitor analysis, and in-depth research, Hypergro ensures maximum ROI for brands looking to elevate their growth strategies.

CloudEagle.ai is a modern SaaS procurement and management platform that offers AI/ML capabilities. It helps optimize SaaS stacks, manage contracts, streamline procurement workflows, and ensure cost savings by identifying unused licenses. The platform also assists in vendor research, renewal management, and automating provisioning processes. CloudEagle.ai is recognized for its AI/ML capabilities in the 2024 Gartner Magic Quadrant.

The Institute for Protein Design is a research institute at the University of Washington that uses computational design to create new proteins that solve modern challenges in medicine, technology, and sustainability. The institute's research focuses on developing new protein therapeutics, vaccines, drug delivery systems, biological devices, self-assembling nanomaterials, and bioactive peptides. The institute also has a strong commitment to responsible AI development and has developed a set of principles to guide its use of AI in research.

AI Synapse is a GTM platform designed for AI workers to enhance outbound conversion rates and sales efficiency. It leverages AI-driven research, personalization, and automation to optimize sales processes, reduce time spent on sales tools, and achieve significant improvements in open, click, and reply rates. The platform enables users to achieve the output of a 30-person sales team in just 4-6 hours, leading to increased productivity and revenue generation. AI Synapse offers scalability, cost efficiency, advanced personalization, time savings, enhanced conversion rates, and predictable lead flow, making it a valuable tool for sales teams and businesses looking to streamline their outbound strategies.

Olympia is an AI-powered consultancy platform that offers smart and affordable AI consultants to help businesses with various tasks such as business strategy, online marketing, content generation, legal advice, software development, and sales. The platform features continuous learning capabilities, real-time research, email integration, vision capabilities, and more. Olympia aims to streamline operations, reduce expenses, and boost productivity for startups, small businesses, and solopreneurs by providing expert AI teams powered by advanced language models like GPT4 and Claude 3. The platform ensures secure communication, no rate limits, long-term memory, and outbound email capabilities.

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.

ReproModel is an open-source toolbox designed to boost AI research efficiency by enabling researchers to reproduce, compare, train, and test AI models faster. It provides standardized models, dataloaders, and processing procedures, allowing researchers to focus on new datasets and model development. With a no-code solution, users can access benchmark and SOTA models and datasets, utilize training visualizations, extract code for publication, and leverage an LLM-powered automated methodology description writer. The toolbox helps researchers modularize development, compare pipeline performance reproducibly, and reduce time for model development, computation, and writing. Future versions aim to facilitate building upon state-of-the-art research by loading previously published study IDs with verified code, experiments, and results stored in the system.

This repository contains an implementation of Ring Attention, a technique for processing large sequences in transformers. Ring Attention splits the data across the sequence dimension and applies ring reduce to the processing of the tiles of the attention matrix, similar to flash attention. It also includes support for Striped Attention, a follow-up paper that permutes the sequence for better workload balancing for autoregressive transformers, and grouped query attention, which saves on communication costs during the ring reduce. The repository includes a CUDA version of the flash attention kernel, which is used for the forward and backward passes of the ring attention. It also includes logic for splitting the sequence evenly among ranks, either within the attention function or in the external ring transformer wrapper, and basic test cases with two processes to check for equivalent output and gradients.

BoCoEL is a tool that leverages Bayesian Optimization to efficiently evaluate large language models by selecting a subset of the corpus for evaluation. It encodes individual entries into embeddings, uses Bayesian optimization to select queries, retrieves from the corpus, and provides easily managed evaluations. The tool aims to reduce computation costs during evaluation with a dynamic budget, supporting models like GPT2, Pythia, and LLAMA through integration with Hugging Face transformers and datasets. BoCoEL offers a modular design and efficient representation of the corpus to enhance evaluation quality.

Dataformer is a robust framework for creating high-quality synthetic datasets for AI, offering speed, reliability, and scalability. It empowers engineers to rapidly generate diverse datasets grounded in proven research methodologies, enabling them to prioritize data excellence and achieve superior standards for AI models. Dataformer integrates with multiple LLM providers using one unified API, allowing parallel async API calls and caching responses to minimize redundant calls and reduce operational expenses. Leveraging state-of-the-art research papers, Dataformer enables users to generate synthetic data with adaptability, scalability, and resilience, shifting their focus from infrastructure concerns to refining data and enhancing models.

RouteLLM is a framework for serving and evaluating LLM routers. It allows users to launch an OpenAI-compatible API that routes requests to the best model based on cost thresholds. Trained routers are provided to reduce costs while maintaining performance. Users can easily extend the framework, compare router performance, and calibrate cost thresholds. RouteLLM supports multiple routing strategies and benchmarks, offering a lightweight server and evaluation framework. It enables users to evaluate routers on benchmarks, calibrate thresholds, and modify model pairs. Contributions for adding new routers and benchmarks are welcome.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

PEFT (Parameter-Efficient Fine-Tuning) is a collection of state-of-the-art methods that enable efficient adaptation of large pretrained models to various downstream applications. By only fine-tuning a small number of extra model parameters instead of all the model's parameters, PEFT significantly decreases the computational and storage costs while achieving performance comparable to fully fine-tuned models.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

LARS is an application that enables users to run Large Language Models (LLMs) locally on their devices, upload their own documents, and engage in conversations where the LLM grounds its responses with the uploaded content. The application focuses on Retrieval Augmented Generation (RAG) to increase accuracy and reduce AI-generated inaccuracies. LARS provides advanced citations, supports various file formats, allows follow-up questions, provides full chat history, and offers customization options for LLM settings. Users can force enable or disable RAG, change system prompts, and tweak advanced LLM settings. The application also supports GPU-accelerated inferencing, multiple embedding models, and text extraction methods. LARS is open-source and aims to be the ultimate RAG-centric LLM application.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

The 'llm-misinformation-survey' repository is dedicated to the survey on combating misinformation in the age of Large Language Models (LLMs). It explores the opportunities and challenges of utilizing LLMs to combat misinformation, providing insights into the history of combating misinformation, current efforts, and future outlook. The repository serves as a resource hub for the initiative 'LLMs Meet Misinformation' and welcomes contributions of relevant research papers and resources. The goal is to facilitate interdisciplinary efforts in combating LLM-generated misinformation and promoting the responsible use of LLMs in fighting misinformation.

Notte is a web browser designed specifically for LLM agents, providing a language-first web navigation experience without the need for DOM/HTML parsing. It transforms websites into structured, navigable maps described in natural language, enabling users to interact with the web using natural language commands. By simplifying browser complexity, Notte allows LLM policies to focus on conversational reasoning and planning, reducing token usage, costs, and latency. The tool supports various language model providers and offers a reinforcement learning style action space and controls for full navigation control.

Nanobrowser is an open-source AI web automation tool that runs in your browser. It is a free alternative to OpenAI Operator with flexible LLM options and a multi-agent system. Nanobrowser offers premium web automation capabilities while keeping users in complete control, with features like a multi-agent system, interactive side panel, task automation, follow-up questions, and multiple LLM support. Users can easily download and install Nanobrowser as a Chrome extension, configure agent models, and accomplish tasks such as news summary, GitHub research, and shopping research with just a sentence. The tool uses a specialized multi-agent system powered by large language models to understand and execute complex web tasks. Nanobrowser is actively developed with plans to expand LLM support, implement security measures, optimize memory usage, enable session replay, and develop specialized agents for domain-specific tasks. Contributions from the community are welcome to improve Nanobrowser and build the future of web automation.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

Windows Agent Arena (WAA) is a scalable Windows AI agent platform designed for testing and benchmarking multi-modal, desktop AI agents. It provides researchers and developers with a reproducible and realistic Windows OS environment for AI research, enabling testing of agentic AI workflows across various tasks. WAA supports deploying agents at scale using Azure ML cloud infrastructure, allowing parallel running of multiple agents and delivering quick benchmark results for hundreds of tasks in minutes.

Colossal-AI is a deep learning system for large-scale parallel training. It provides a unified interface to scale sequential code of model training to distributed environments. Colossal-AI supports parallel training methods such as data, pipeline, tensor, and sequence parallelism and is integrated with heterogeneous training and zero redundancy optimizer.

Minions is a communication protocol that enables small on-device models to collaborate with frontier models in the cloud. By only reading long contexts locally, it reduces cloud costs with minimal or no quality degradation. The repository provides a demonstration of the protocol.

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Generate a structured abstract for academic papers, primarily in the field of biology, adhering to a specified word count range. Simply upload your manuscript file (without the abstract) and specify the word count (for example, '200-250') to GPT.

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Expert in sentence refinement, polishing academic papers, reducing similarity scores, and evading AI detection. Avoiding AI detection and plagiarism checks. 论文润色、论文降重、规避AI检查

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Provides concise climate strategy advice, tailored to user needs.

Uses 'simple_compress_pdf' function to significantly reduce PDF size.

I compress images to reduce file size without losing quality.

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I'm an Environmental Impact Analyzer, here to calculate and reduce your carbon footprint.

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