Best AI tools for< Ph.d. Student >

GetAudify is an AI-powered tool that allows users to summarize large content and convert it into voice using text-to-voice technology. With features like multilingual support, customized tone, and instant summarization, GetAudify aims to enhance communication and content management. Users can easily manage credits, generate API keys, and access summarization features through the extension and dashboard. The tool is beneficial for students, researchers, content creators, and individuals looking to efficiently summarize and understand lengthy content.

SopCreator.com is an AI-powered tool designed to help users generate personalized Statements of Purpose (SOP) for university applications. By answering a few questions about their academic and professional journey, users can create a unique SOP in just 15 minutes. The tool follows a standard format of 800-1000 words, ensuring no plagiarism and offering the option to download the SOP as a PDF. SopCreator.com simplifies the SOP writing process by providing tailored paragraphs covering introduction, academic history, work experience, extracurricular activities, university fit, and conclusion.

Me.bot is an AI-powered inspiring companion application that helps users break limits and get inspired in various aspects of their lives. It adapts to each user, providing proactive advice and personal models using frontier AI technology. Me.bot prioritizes privacy by protecting and segregating user data with the highest standards. The application offers features such as dumping and organizing anything, discovering life shapes and unexpected inspirations, saving life moments, generating inspiration, assisting with schedules, and summarizing key points. Me.bot also includes a set of privacy technologies called Me.Dome, ensuring complete anonymity, end-to-end encryption, data fortress, and confidential computing. Trusted by users worldwide, Me.bot is a versatile tool for mindfulness, organization, productivity, and personal assistance.

Rayyan is an intelligent systematic review tool trusted by over 500,000 researchers worldwide. It helps users organize, manage, and accelerate collaborative systematic literature reviews. Rayyan empowers users to work remotely and collaborate with distributed research teams, offering membership packages with onboarding, training, and priority support. The tool is designed to understand language, learn from user decisions, and facilitate quick navigation through systematic reviews. Rayyan also provides solutions for organizations and businesses to streamline research processes and save valuable researcher time.

PaperGuide.AI is an AI-powered research platform that helps users discover, read, write, and manage research with ease. It offers features such as AI search to discover new papers, summaries to understand complex research, reference management, note-taking, and AI writing assistance. Trusted by over 500,000 users, PaperGuide.AI streamlines academic and research workflows by providing tools to synthesize research faster, manage references effectively, and write essays and research papers efficiently.

PaperGen is an AI-powered platform designed to assist users in creating visually impressive papers. It offers features such as AI knowledge curation, AI outline generation, and AI paper generation and formatting. With real-time updates and a user-friendly interface, PaperGen aims to streamline the writing process for various types of documents, including essays, research papers, blog posts, and literature reviews. Trusted by universities and businesses worldwide, PaperGen helps users effectively tell their stories and amplify their voices through storytelling.

The Cameron Jones website is a platform maintained by a Cognitive Science PhD student with a focus on persuasion, deception, and social intelligence in humans and Large Language Models (LLMs). The site showcases the student's publications, projects, and CV, along with research on LLM performance in tasks like the False Belief task and the Turing test.

Tübingen AI Center is a thriving hub for European AI, hosted by the Eberhard Karls University of Tübingen in cooperation with the Max Planck Institute for Intelligent Systems. It comprises 20 world-class machine learning research groups with more than 300 PhD students and Postdocs. The center fosters AI talents by offering education and hands-on experience from elementary school onwards. The Machine Learning Cloud at Tübingen AI Center provides cutting-edge AI research infrastructure, supporting collaborative work and large-scale simulations in ML. Funded by the Federal Ministry of Education and Research and the Ministry of Science, Research and Arts Baden-Württemberg.

Lifestyle Medicine WORKS™ PRO AI is a comprehensive AI-powered platform designed for physicians, healthcare providers, and clinics worldwide. It offers tools and courses to master evidence-based Lifestyle Medicine, reduce team burnout, save time, create new revenue opportunities, and improve chronic diseases patient health outcomes. The platform includes 6 AI Assistants, a 101 Course, business strategies, certification, and more. Lifestyle Medicine WORKS™ PRO AI aims to empower healthcare professionals to seamlessly integrate evidence-based Lifestyle Medicine into their practice and help patients prevent, reduce, and even reverse chronic symptoms.

AI Superior is a German-based AI services company focusing on end-to-end AI-based application development and AI consulting. We design and build web and mobile apps as well as custom software products that rely on complex machine learning and AI models and algorithms. Our Ph.D.-level Data Scientists and Software Engineers are ready to help you create your success story.

PrepareBuddy is an AI study tool and online exam preparation platform that offers a comprehensive suite of features to enhance learning, boost academic performance, and simplify exam preparation. From creating custom exams to personalized study plans and adaptive exams with gamification, PrepareBuddy caters to learners of all levels and subjects. The platform also provides AI recommendations, real-time performance insights, and organization management tools for educators and institutions.

iLovePhD is a comprehensive research platform that serves as a one-stop solution for all research needs. It offers a wide range of services including access to journals, postdoc opportunities, scholarships, IoT security tools, job listings, datasets, and UGC-CARE journals. The platform also features ChatGPT for plagiarism detection and artificial intelligence applications. iLovePhD aims to assist researchers and academicians in publishing impactful work and staying updated with the latest trends in the academic world.

AILYZE is an AI tool designed for qualitative data collection and analysis. Users can upload various document formats in any language to generate codes, conduct thematic, frequency, content, and cross-group analysis, extract top quotes, and more. The tool also allows users to create surveys, utilize an AI voice interviewer, and recruit participants globally. AILYZE offers different plans with varying features and data security measures, including options for advanced analysis and AI interviewer add-ons. Additionally, users can tap into data scientists for detailed and customized analyses on a wide range of documents.

Ferhat Erata is an AI application developed by a Computer Science PhD graduate from Yale University. The application focuses on training transformers to solve NP-complete problems using reinforcement learning and improving test-time compute strategies for reasoning. It also explores learning randomized reductions and program properties for security, privacy, and side-channel resilience. Ferhat Erata is currently an Applied Scientist at the Automated Reasoning Group at AWS, working on Neuro-Symbolic AI to prevent factual errors caused by LLM hallucinations using mathematically sound Automated Reasoning checks.

MindStudio is an AI application that allows users to create AI Workers for various tasks without the need for a PhD. It offers a simple and fast solution for building AI solutions, enabling users to automate tasks such as content translation, customer message enrichment, comment moderation, and more. With over 100,000 AI Workers in use, MindStudio provides a user-friendly platform to experiment with different AI models, optimize workflows, and connect to various applications seamlessly.

Butterfly Wellness is a premier mental health brand focusing on chronic skin conditions. The website offers SHAMMAH, an AI assistant with Phd-level psychotherapeutic expertise to address stress, anxiety, and depression related to skin conditions like eczema, acne, rosacea, alopecia, and psoriasis. It aims to empower patients and healthcare professionals with science-backed solutions that connect mind and skin, pioneering the future of psychodermatology for everyone.

John Schulman's Homepage is an AI tool developed by a researcher at Anthropic. The website focuses on aligning large language models, scalable oversight, and developing better written specifications of model behavior. It showcases the researcher's work in the field of AI, including projects like ChatGPT and the OpenAI API. The homepage also highlights the researcher's academic background, including a PhD in Computer Science from UC Berkeley with a focus on robotics and reinforcement learning.

PH Copilot is an AI-powered Chrome extension designed to enhance the Product Hunt experience for indie hackers and makers. It provides AI-powered product overviews and comment assistance, helping users quickly grasp product essentials and craft standout comments. With features like AI product overview, easy commenting, secure login, clean interface, and multilingual support, PH Copilot offers a seamless and intuitive toolkit for boosting engagement on Product Hunt.

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.

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.

simple_GRPO is a very simple implementation of the GRPO algorithm for reproducing r1-like LLM thinking. It provides a codebase that supports saving GPU memory, understanding RL processes, trying various improvements like multi-answer generation, regrouping, penalty on KL, and parameter tuning. The project focuses on simplicity, performance, and core loss calculation based on Hugging Face's trl. It offers a straightforward setup with minimal dependencies and efficient training on multiple GPUs.

PyTorch Lightning is a framework for training and deploying AI models. It provides a high-level API that abstracts away the low-level details of PyTorch, making it easier to write and maintain complex models. Lightning also includes a number of features that make it easy to train and deploy models on multiple GPUs or TPUs, and to track and visualize training progress. PyTorch Lightning is used by a wide range of organizations, including Google, Facebook, and Microsoft. It is also used by researchers at top universities around the world. Here are some of the benefits of using PyTorch Lightning: * **Increased productivity:** Lightning's high-level API makes it easy to write and maintain complex models. This can save you time and effort, and allow you to focus on the research or business problem you're trying to solve. * **Improved performance:** Lightning's optimized training loops and data loading pipelines can help you train models faster and with better performance. * **Easier deployment:** Lightning makes it easy to deploy models to a variety of platforms, including the cloud, on-premises servers, and mobile devices. * **Better reproducibility:** Lightning's logging and visualization tools make it easy to track and reproduce training results.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

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

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.

AI-PhD-S25 is a mono-repo for the DOTE 6635 course on AI for Business Research at CUHK Business School. The course aims to provide a fundamental understanding of ML/AI concepts and methods relevant to business research, explore applications of ML/AI in business research, and discover cutting-edge AI/ML technologies. The course resources include Google CoLab for code distribution, Jupyter Notebooks, Google Sheets for group tasks, Overleaf template for lecture notes, replication projects, and access to HPC Server compute resource. The course covers topics like AI/ML in business research, deep learning basics, attention mechanisms, transformer models, LLM pretraining, posttraining, causal inference fundamentals, and more.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

The 'vector-search-class-notes' repository contains class materials for a course on Long Term Memory in AI, focusing on vector search and databases. The course covers theoretical foundations and practical implementation of vector search applications, algorithms, and systems. It explores the intersection of Artificial Intelligence and Database Management Systems, with topics including text embeddings, image embeddings, low dimensional vector search, dimensionality reduction, approximate nearest neighbor search, clustering, quantization, and graph-based indexes. The repository also includes information on the course syllabus, project details, selected literature, and contributions from industry experts in the field.

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.

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.

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.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

AI-resources is a repository containing links to various resources for learning Artificial Intelligence. It includes video lectures, courses, tutorials, and open-source libraries related to deep learning, reinforcement learning, machine learning, and more. The repository categorizes resources for beginners, average users, and advanced users/researchers, providing a comprehensive collection of materials to enhance knowledge and skills in AI.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

ChainForge is a visual programming environment for battle-testing prompts to LLMs. It is geared towards early-stage, quick-and-dirty exploration of prompts, chat responses, and response quality that goes beyond ad-hoc chatting with individual LLMs. With ChainForge, you can: * Query multiple LLMs at once to test prompt ideas and variations quickly and effectively. * Compare response quality across prompt permutations, across models, and across model settings to choose the best prompt and model for your use case. * Setup evaluation metrics (scoring function) and immediately visualize results across prompts, prompt parameters, models, and model settings. * Hold multiple conversations at once across template parameters and chat models. Template not just prompts, but follow-up chat messages, and inspect and evaluate outputs at each turn of a chat conversation. ChainForge comes with a number of example evaluation flows to give you a sense of what's possible, including 188 example flows generated from benchmarks in OpenAI evals. This is an open beta of Chainforge. We support model providers OpenAI, HuggingFace, Anthropic, Google PaLM2, Azure OpenAI endpoints, and Dalai-hosted models Alpaca and Llama. You can change the exact model and individual model settings. Visualization nodes support numeric and boolean evaluation metrics. ChainForge is built on ReactFlow and Flask.

GPTSwarm is a graph-based framework for LLM-based agents that enables the creation of LLM-based agents from graphs and facilitates the customized and automatic self-organization of agent swarms with self-improvement capabilities. The library includes components for domain-specific operations, graph-related functions, LLM backend selection, memory management, and optimization algorithms to enhance agent performance and swarm efficiency. Users can quickly run predefined swarms or utilize tools like the file analyzer. GPTSwarm supports local LM inference via LM Studio, allowing users to run with a local LLM model. The framework has been accepted by ICML2024 and offers advanced features for experimentation and customization.

Provides personalized, approachable PhD application assistance.

A motivating mentor for PhD students, offering guidance and support.

Guiding PhD students through their academic challenges

Form-based guide with research updates for PhD proposals

I match students with PhD advisors.

A counselor aiding in writing recommendation letters for PhD applications, with a formal and informative tone.

Unlock your PhD potential

I'll analyze academic and scientific articles and create state-of-the-art documents

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

Evidence-based scoliosis guide in formal, PhD-level parlance.

Market data, news, PhD level knowledge in Quant Finance, and advanced browsing

Discuss AI and Theory of Mind with Clinical Psychologist Dr. Tamara Russel PHD and AI Expert Cris Ippolite

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