Best AI tools for< Ai Research Engineer >

Upstage is an AI application designed for global talent acquisition in the field of artificial intelligence startups. The platform offers a range of job opportunities in AI research, engineering, business, education, and software engineering. Upstage aims to connect talented individuals with leading AI companies, providing a seamless recruitment process for both employers and job seekers.

Megagon Labs is an AI research lab focusing on Knowledge Representation & Reasoning, Natural Language Processing, Human-Centered AI, and Data AI Symbiosis. They empower users with better information to make informed decisions through cutting-edge research and technologies. The lab's work includes investigating symbiotic systems, data management for AI, human-centered AI tools, and enhancing NLP capabilities for various domains.

Altera is an applied research company focused on building digital humans with fundamental human qualities. Led by Dr. Robert Yang, the team comprises computational neuroscientists, researchers, and engineers from prestigious institutions. Their mission is to create digital beings that can live, care, and grow alongside humans. The company's early research prototypes in games have paved the way for the development of digital humans that can interact with users in various ways.

The Allen Institute for AI (AI2) is a leading research institute dedicated to advancing artificial intelligence technologies for the common good. They focus on Natural Language Processing, Computer Vision, and AI applications for the environment. AI2 collaborates with diverse teams to tackle challenging problems in AI research, aiming to create world-changing AI solutions. The institute promotes diversity, equity, and inclusion in the research community, and offers opportunities for individuals to contribute to impactful AI projects.

Google Research is a team of scientists and engineers working on a wide range of topics in computer science, including artificial intelligence, machine learning, and quantum computing. Our mission is to advance the state of the art in these fields and to develop new technologies that can benefit society. We publish hundreds of research papers each year and collaborate with researchers from around the world. Our work has led to the development of many new products and services, including Google Search, Google Translate, and Google Maps.

AIM Research is a leading platform providing insights and analysis on the Artificial Intelligence industry. The website offers a comprehensive range of resources, including research reports, event coverage, news articles, and expert opinions. AIM Research focuses on highlighting the latest trends, innovations, and key players in the AI sector, catering to professionals, researchers, and enthusiasts seeking in-depth knowledge and understanding of AI technologies and applications.

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 Berkeley Artificial Intelligence Research (BAIR) Lab is a renowned research lab at UC Berkeley focusing on computer vision, machine learning, natural language processing, planning, control, and robotics. With over 50 faculty members and 300 graduate students, BAIR conducts research on fundamental advances in AI and interdisciplinary themes like multi-modal deep learning and human-compatible AI.

The Vector Institute for Artificial Intelligence is an independent, not-for-profit corporation dedicated to AI research. They work across sectors to advance AI application, adoption, and commercialization across Canada. Vector researchers are pushing the boundaries of machine learning and deep learning with applications ranging from privacy to security to healthcare. The institute offers a suite of programs, courses, and projects to help students, businesses, and working professionals from industry sponsors or small businesses. They collaborate with universities, health organizations, governments, and businesses to connect leading AI research with its application across Canada and the world.

EleutherAI is an open-source AI research platform that focuses on discussing and disseminating cutting-edge research in the field of artificial intelligence. The platform provides updates on various research projects, including Mechanistic Anomaly Detection, Automated Interpretability for Sparse Autoencoder Features, Experiments in Generalization, Concept Erasure, Knowledge Elicitation, and more. EleutherAI aims to foster collaboration and innovation in the AI community by sharing insights and advancements in the field.

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.

Cambrian Copilot is an AI tool designed for researchers and engineers to stay up-to-date with the latest machine learning research. It provides a platform to search over 240,000 ML papers, understand complex details, and automate literature reviews, making the process more efficient and accessible.

Layer is an AI research copilot that helps you stay up-to-date with the latest advancements in AI and find the resources you need to build your own AI projects.

Epoch AI is a research institute dedicated to investigating key trends and questions that will shape the trajectory and governance of AI. They provide essential insights for policymakers, conduct rigorous analysis of trends in AI and machine learning, and produce reports, papers, models, and visualizations to advance evidence-based discussions about AI. Epoch AI collaborates with stakeholders and collects key data on machine learning models to analyze historical and contemporary progress in AI. They are known for their thoughtful and best-researched survey work in the industry.

Emergent Mind is a website that provides access to trending AI papers. Users can browse papers by category, week, month, or year. The website also provides summaries of trending AI papers on Twitter.

Papers With Code is an AI tool that provides access to the latest research papers in the field of Machine Learning, along with corresponding code implementations. It offers a platform for researchers and enthusiasts to stay updated on state-of-the-art datasets, methods, and trends in the ML domain. Users can explore a wide range of topics such as language modeling, image generation, virtual try-on, and more through the collection of papers and code available on the website.

PaperClip is an AI tool designed to help users keep track of their daily AI papers review. It allows users to memorize details from papers in machine learning, computer vision, and natural language processing. The tool provides an extension that enables users to find back important findings from AI research papers, ML blog posts, and news. PaperClip's AI runs locally, ensuring data privacy by not sending any information to external servers. With features like offline support, data cleaning, and easy reset options, PaperClip offers a convenient solution for organizing and accessing research findings.

AlphaSignal is a leading technical newsletter in the field of Artificial Intelligence (AI), providing a daily 5-minute summary of the latest breakthrough news, models, research, and repositories. It aims to keep AI developers and researchers up to date with the most relevant topics discussed by top researchers in the industry. The newsletter covers state-of-the-art projects, notebooks, and GitHub repositories, offering valuable insights for practitioners in the AI domain.

Applied AI Institute is an educational platform that provides AI education to business and IT professionals. They offer a variety of instructor-led webinars, tailored courses, guided hackathons, and solution development services. The institute focuses on enhancing learners' competencies and attitudes for success by offering customized courses with real-world client projects. Additionally, they provide consultation services to create solution assets for specific use cases, ensuring optimal results.

Techire AI Engagement Hub is an AI application that offers a platform for job seekers and clients to connect in the field of Artificial Intelligence and related industries. The platform focuses on AI technologies such as AGI, AI Agents, Computer Vision, Conversational AI, ML tools, Natural Language Processing, Robotics, and more. It provides job listings, candidate submissions, client vacancies, and advanced search features tailored to the AI industry. Techire AI aims to revolutionize the way individuals interact with AI technologies by offering a diverse range of job opportunities and services.

Evalverse is an open-source project designed to support Large Language Model (LLM) evaluation needs. It provides a standardized and user-friendly solution for processing and managing LLM evaluations, catering to AI research engineers and scientists. Evalverse supports various evaluation methods, insightful reports, and no-code evaluation processes. Users can access unified evaluation with submodules, request evaluations without code via Slack bot, and obtain comprehensive reports with scores, rankings, and visuals. The tool allows for easy comparison of scores across different models and swift addition of new evaluation tools.

Awesome Embodied AI Job is a curated list of resources related to jobs in the field of Embodied Artificial Intelligence. It includes job boards, companies hiring, and resources for job seekers interested in roles such as robotics engineer, computer vision specialist, AI researcher, machine learning engineer, and data scientist.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

This repository is a collection of free resources and a roadmap designed to help individuals learn Machine Learning and Artificial Intelligence concepts by providing key concepts, building blocks, roles, a learning roadmap, courses, certifications, books, tools & frameworks, research blogs, applied blogs, practice problems, communities, YouTube channels, newsletters, and must-read papers. It covers a wide range of topics from supervised learning to MLOps, offering guidance on learning paths, practical experience, and job interview preparation.

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.

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.

AdalFlow is a library designed to help developers build and optimize Large Language Model (LLM) task pipelines. It follows a design pattern similar to PyTorch, offering a light, modular, and robust codebase. Named in honor of Ada Lovelace, AdalFlow aims to inspire more women to enter the AI field. The library is tailored for various GenAI applications like chatbots, translation, summarization, code generation, and autonomous agents, as well as classical NLP tasks such as text classification and named entity recognition. AdalFlow emphasizes modularity, robustness, and readability to support users in customizing and iterating code for their specific use cases.

LightRAG is a PyTorch library designed for building and optimizing Retriever-Agent-Generator (RAG) pipelines. It follows principles of simplicity, quality, and optimization, offering developers maximum customizability with minimal abstraction. The library includes components for model interaction, output parsing, and structured data generation. LightRAG facilitates tasks like providing explanations and examples for concepts through a question-answering pipeline.

olmOCR is a toolkit designed for training language models to work with PDF documents in real-world scenarios. It includes various components such as a prompting strategy for natural text parsing, an evaluation toolkit for comparing pipeline versions, filtering by language and SEO spam removal, finetuning code for specific models, processing PDFs through a finetuned model, and viewing documents created from PDFs. The toolkit requires a recent NVIDIA GPU with at least 20 GB of RAM and 30GB of free disk space. Users can install dependencies, set up a conda environment, and utilize olmOCR for tasks like converting single or multiple PDFs, viewing extracted text, and running batch inference pipelines.

Animal-Artificial Intelligence (Animal-AI) is an interdisciplinary research platform designed to understand human, animal, and artificial cognition. It supports AI research to unlock cognitive capabilities and explore the space of possible minds. The open-source project facilitates testing across animals, humans, and AI, providing a comprehensive AI environment with a library of 900 tasks. It offers compatibility with Windows, Linux, and macOS, supporting Python 3.6.x and above. The environment utilizes Unity3D Game Engine, Unity ML-Agents toolkit, and provides interactive elements for AI training scenarios.

Learn Prompting is a platform offering free resources, courses, and webinars to master prompt engineering and generative AI. It provides a Prompt Engineering Guide, courses on Generative AI, workshops, and the HackAPrompt competition. The platform also offers AI Red Teaming and AI Safety courses, research reports on prompting techniques, and welcomes contributions in various forms such as content suggestions, translations, artwork, and typo fixes. Users can locally develop the website using Visual Studio Code, Git, and Node.js, and run it in development mode to preview changes.

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.

A curated list of companies in the robotics and artificially intelligent agents industry, including large companies, stable start-ups, non-profits, and government research labs. The list covers companies working on autonomous vehicles, robotics, artificial intelligence, machine learning, computer vision, and more. It aims to showcase industry innovators and important players in the field of robotics and AI.

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

The AI Enablement Stack is a curated collection of venture-backed companies, tools, and technologies that enable developers to build, deploy, and manage AI applications. It provides a structured view of the AI development ecosystem across five key layers: Agent Consumer Layer, Observability and Governance Layer, Engineering Layer, Intelligence Layer, and Infrastructure Layer. Each layer focuses on specific aspects of AI development, from end-user interaction to model training and deployment. The stack aims to help developers find the right tools for building AI applications faster and more efficiently, assist engineering leaders in making informed decisions about AI infrastructure and tooling, and help organizations understand the AI development landscape to plan technology adoption.

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.

This repository contains a comprehensive list of various summer schools and winter schools in the field of artificial intelligence, machine learning, medical imaging, and healthcare. It provides detailed information about upcoming events, including the name, venue, date, deadline, organizers, fees, and scholarship details. The repository aims to share opportunities with the community and aspiring AI researchers/engineers, data scientists.

AI-PhD-S24 is a mono-repo for the PhD course 'AI for Business Research' at CUHK Business School in Spring 2024. The course aims to provide a basic understanding of machine learning and artificial intelligence concepts/methods used in business research, showcase how ML/AI is utilized in business research, and introduce state-of-the-art AI/ML technologies. The course includes scribed lecture notes, class recordings, and covers topics like AI/ML fundamentals, DL, NLP, CV, unsupervised learning, and diffusion models.

Your AI research assistant, for turning a problem into a research, developing research questions, generating plans, analyzing data and improving research workflows for project success

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Expert in Ethics of Artificial Intelligence, offering comprehensive, balanced perspectives based on thorough research, with a focus on emerging trends and responsible AI implementation. Powered by Breebs (www.breebs.com)

AI and regulation news research assistant, finds all the AI-related industry information for and with you.

Tech-focused AI Prompt Engineer, providing insights on AI generation and best practices.

Deep learning researcher explaining Google Gemini from PDFs.

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