Best AI tools for< Find A Conference To Submit A Paper To >

aiwizard is the leading AI tool hub that unveils the magic of AI through its spellbook spells, step-by-step tutorials, and in-depth reviews of over 879 AI tools. It provides a comprehensive AI tools directory with over 879 AI tools in 110+ categories, offering in-depth reviews and step-by-step tutorials for each tool. Additionally, aiwizard hosts an AI events calendar to help users find suitable AI-related events, conferences, hackathons, and live training sessions. Through its newsletter, aiwizard keeps subscribers updated with the latest AI news and cool new tools. Furthermore, aiwizard offers a directory of over 190 AI tool directories where users can submit their AI tools to enhance their domain authority, increase clicks, and improve search rankings.

Revent is an event planning platform that helps users organize, promote, and manage their events. It offers a suite of features to help users with every aspect of event planning, from finding the right venue to managing guest lists and tracking RSVPs. Revent also offers a unique AI-powered assistant, Eva, who can help users with a variety of tasks, such as finding vendors, creating event timelines, and answering questions.

Existential is an AI-powered career exploration platform that helps you discover your true calling. Our platform uses a combination of psychometric assessments, AI algorithms, and expert career counseling to help you identify your strengths, interests, and values. We then match you with a personalized list of career paths that are a good fit for you.

Interview.study is an AI-powered interview preparation platform that helps candidates practice real interview questions asked by top companies. The platform provides users with instant feedback on their responses, helping them identify areas for improvement and develop stronger answers. Interview.study also offers a variety of features to help candidates prepare for their interviews, including a database of interview questions, a mock interview tool, and a resume builder.

LooksMax AI is an AI tool that provides users with a personalized rating of their physical appearance. Trusted by over 2 million people, it uses advanced algorithms to analyze facial features and provide an assessment of attractiveness. Users can discover how they are perceived by others and gain insights into their appearance. The tool aims to boost confidence and self-awareness by offering constructive feedback and suggestions for improvement.

DocsAI is an AI-powered document companion that helps you organize, search, and chat with your documents. It integrates with various sources, including websites, text files, PDFs, Docx, Notion, and Confluence. You can customize the companion's appearance to match your brand and suggest better answers to improve its accuracy. DocsAI also offers a chat widget that can be embedded on any website, allowing you to chat with your documents and get summaries, insights, and leads. It is mobile and tablet-friendly, and you can export chats and analyze data to identify trends and improve customer satisfaction. DocsAI is open source and offers custom prompts and multi-language support.

MyLooks AI is an AI-powered tool that allows users to assess their attractiveness based on a quick selfie upload. The tool provides instant feedback on the user's appearance and offers personalized improvement tips to help them enhance their looks. Users can track their progress with advanced AI-powered coaching and receive easy guidance to boost their confidence. MyLooks AI aims to help individuals feel more confident and improve their self-image through the use of artificial intelligence technology.

Whisk is the ultimate recipe app for all your cooking needs. It offers a vast collection of recipes, meal planning tools, grocery list creation, and personalized recipe suggestions. With AI-powered features, Whisk allows users to create custom recipes, collaborate on meal planning, and generate dynamic grocery lists. The app is designed to simplify the cooking experience and help users explore new dishes effortlessly.

SnapMeasureAI is an AI-powered application that provides 99% accurate body measurements without the need to visit a tailor. It uses advanced AI technology to measure the body from just a few photos or a short video, with an average error of 0.70 cm (0.27 in). The application is designed to help users find their perfect fit quickly and easily, reducing the need for multiple tailor visits. SnapMeasureAI is trained on over 100 million body combinations, 400,000 backgrounds, and 90,000 poses, ensuring reliable performance in diverse scenarios. It aims to address the issue of retail returns by offering precise measurements and helping users make confident purchasing decisions.

WithSpark.ai is a free AI-powered dating assistant that helps users start engaging conversations and create meaningful connections on dating apps. The tool uses advanced artificial intelligence to analyze user inputs and generate personalized conversation starters tailored to each user's interests and preferences. With Spark, users can easily spark genuine connections, boost their conversations, and engage effortlessly with personalized responses. The application empowers users to unleash their dating potential by providing witty replies, clever pick-up lines, captivating conversation starters, thoughtful messages, and more.

Pangea.ai is a leading talent aggregator that helps businesses hire quality technologists by comparing data points for reliable matching. It offers a unified hiring experience in a fragmented market, making it easier to compare and decide among the numerous software development agencies and talent networks available. Pangea.ai's intelligent matching system considers over 100 data points to find the best fit for businesses, while its rigorous vetting process evaluates expertise, client satisfaction, and team health. Businesses can choose to self-serve their way to a hire or opt for Pangea.ai's white-glove matching service.

NOA by biped.ai is a revolutionary mobility vest designed to enhance the independence and safety of individuals with blindness and low vision. It combines cutting-edge AI technology with wearable devices to provide real-time navigation instructions, obstacle detection, and object finding capabilities. NOA is a hands-free solution that complements traditional mobility aids like white canes and guide dogs, offering a compact and lightweight design for seamless integration into daily life. Developed through extensive research and collaboration with experts in the field, NOA aims to empower users to navigate their surroundings with confidence and ease.

Winggirlstudio.com is a website that provides resources and information. It offers a variety of content related to various topics, such as relationships, personal development, and lifestyle. Users can find articles, guides, and tips to improve their social skills, dating life, and overall well-being. The website aims to empower individuals to navigate the complexities of modern relationships and enhance their self-confidence.

Hairstyle AI is an AI-powered application that allows users to virtually try out new hairstyles before getting a real haircut. With over 155,760 hairstyles already created for 1,298 happy customers, Hairstyle AI provides a platform for users to experiment with different haircuts and styles, helping them feel more confident in their appearance. The application offers a range of features such as generating AI hairstyles indistinguishable from real photos, providing a variety of hairstyle options, and ensuring user privacy and security.

The website is a minimalist platform that simply displays the word 'Success'. It appears to be a single-page website with a straightforward and concise design. The purpose of the website seems to be to convey a positive message or inspire visitors with the word 'Success'. The site lacks detailed content or interactive features, focusing solely on the word itself.

Summarify is an iOS app that uses AI to summarize YouTube videos. It offers a range of summary styles, including simple, bullet points, and detailed formats, allowing users to tailor the summaries to their specific needs. Summarify also includes features such as video timestamps, chapter summaries, custom summaries, video searching, time savings tracker, and export summaries. The app is powered by ChatGPT and OpenAI, which ensures the accuracy and coherence of the summaries.

EnhanceDocs is an AI-powered documentation tool that helps users effortlessly find and enhance documentation across various platforms like Notion, Google Drive, Confluence, SharePoint, and OneDrive. It saves time by providing instant access to documentation through a chat interface powered by AI. Users can interact with the AI assistant to search for information, generate content suggestions, and gain valuable insights through analytics. EnhanceDocs aims to streamline the documentation process and improve productivity for teams and managers.

Valentyno AI is an innovative AI-powered dating coach application that provides personalized advice and guidance to help individuals improve their dating skills and find meaningful connections. By leveraging advanced algorithms and natural language processing, Valentyno AI analyzes user interactions and provides tailored recommendations to enhance communication, boost confidence, and increase the chances of successful matches. With a user-friendly interface and interactive features, Valentyno AI aims to revolutionize the dating experience by offering personalized support and insights to users seeking love and companionship.

Casc is an AI-powered knowledge management tool that helps teams access and share information quickly and easily. It integrates with popular collaboration tools like Slack, Google Drive, and Confluence, allowing users to search and access documents, images, and other content from a central location. Casc also uses natural language processing to understand user queries and deliver precise answers, making it easy for teams to find the information they need without having to spend hours searching through multiple sources.

PimEyes is an online face search engine that uses face recognition technology to find pictures containing given faces. It is a great tool to audit copyright infringement, protect your privacy, and find people.

WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.

A collection of papers and resources about Large Language Models (LLM) for Graph Learning (Graph). Integrating LLMs with graph learning techniques to enhance performance in graph learning tasks. Categorizes approaches based on four primary paradigms and nine secondary-level categories. Valuable for research or practice in self-supervised learning for recommendation systems.

Welcome to our Awesome-llm-safety repository! We've curated a collection of the latest, most comprehensive, and most valuable resources on large language model safety (llm-safety). But we don't stop there; included are also relevant talks, tutorials, conferences, news, and articles. Our repository is constantly updated to ensure you have the most current information at your fingertips.

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

Awesome-LLM-Quantization is a curated list of resources related to quantization techniques for Large Language Models (LLMs). Quantization is a crucial step in deploying LLMs on resource-constrained devices, such as mobile phones or edge devices, by reducing the model's size and computational requirements.

This repository contains a curated list of papers focusing on the self-correction of large language models (LLMs) during inference. It covers various frameworks for self-correction, including intrinsic self-correction, self-correction with external tools, self-correction with information retrieval, and self-correction with training designed specifically for self-correction. The list includes survey papers, negative results, and frameworks utilizing reinforcement learning and OpenAI o1-like approaches. Contributions are welcome through pull requests following a specific format.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

CogAgent is an advanced intelligent agent model designed for automating operations on graphical interfaces across various computing devices. It supports platforms like Windows, macOS, and Android, enabling users to issue commands, capture device screenshots, and perform automated operations. The model requires a minimum of 29GB of GPU memory for inference at BF16 precision and offers capabilities for executing tasks like sending Christmas greetings and sending emails. Users can interact with the model by providing task descriptions, platform specifications, and desired output formats.

This repository is a collection of papers on leveraging Large Language Models (LLMs) in Graph Tasks. It provides a comprehensive overview of how LLMs can enhance graph-related tasks by combining them with traditional Graph Neural Networks (GNNs). The integration of LLMs with GNNs allows for capturing both structural and contextual aspects of nodes in graph data, leading to more powerful graph learning. The repository includes summaries of various models that leverage LLMs to assist in graph-related tasks, along with links to papers and code repositories for further exploration.

Multilspy is a Python library developed for research purposes to facilitate the creation of language server clients for querying and obtaining results of static analyses from various language servers. It simplifies the process by handling server setup, communication, and configuration parameters, providing a common interface for different languages. The library supports features like finding function/class definitions, callers, completions, hover information, and document symbols. It is designed to work with AI systems like Large Language Models (LLMs) for tasks such as Monitor-Guided Decoding to ensure code generation correctness and boost compilability.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

BitBLAS is a library for mixed-precision BLAS operations on GPUs, for example, the $W_{wdtype}A_{adtype}$ mixed-precision matrix multiplication where $C_{cdtype}[M, N] = A_{adtype}[M, K] \times W_{wdtype}[N, K]$. BitBLAS aims to support efficient mixed-precision DNN model deployment, especially the $W_{wdtype}A_{adtype}$ quantization in large language models (LLMs), for example, the $W_{UINT4}A_{FP16}$ in GPTQ, the $W_{INT2}A_{FP16}$ in BitDistiller, the $W_{INT2}A_{INT8}$ in BitNet-b1.58. BitBLAS is based on techniques from our accepted submission at OSDI'24.

Parrot is a distributed serving system for LLM-based Applications, designed to efficiently serve LLM-based applications by adding Semantic Variable in the OpenAI-style API. It allows for horizontal scalability with multiple Engine instances running LLM models communicating with ServeCore. The system enables AI agents to interact with LLMs via natural language prompts for collaborative tasks.

LLMLingua is a tool that utilizes a compact, well-trained language model to identify and remove non-essential tokens in prompts. This approach enables efficient inference with large language models, achieving up to 20x compression with minimal performance loss. The tool includes LLMLingua, LongLLMLingua, and LLMLingua-2, each offering different levels of prompt compression and performance improvements for tasks involving large language models.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

LLM-Pruner is a tool for structural pruning of large language models, allowing task-agnostic compression while retaining multi-task solving ability. It supports automatic structural pruning of various LLMs with minimal human effort. The tool is efficient, requiring only 3 minutes for pruning and 3 hours for post-training. Supported LLMs include Llama-3.1, Llama-3, Llama-2, LLaMA, BLOOM, Vicuna, and Baichuan. Updates include support for new LLMs like GQA and BLOOM, as well as fine-tuning results achieving high accuracy. The tool provides step-by-step instructions for pruning, post-training, and evaluation, along with a Gradio interface for text generation. Limitations include issues with generating repetitive or nonsensical tokens in compressed models and manual operations for certain models.

EmbodiedScan is a holistic multi-modal 3D perception suite designed for embodied AI. It introduces a multi-modal, ego-centric 3D perception dataset and benchmark for holistic 3D scene understanding. The dataset includes over 5k scans with 1M ego-centric RGB-D views, 1M language prompts, 160k 3D-oriented boxes spanning 760 categories, and dense semantic occupancy with 80 common categories. The suite includes a baseline framework named Embodied Perceptron, capable of processing multi-modal inputs for 3D perception tasks and language-grounded tasks.

Mentor for crafting top-tier ML and DL conference papers.

A guide for navigating NeurIPS 2023 all 3,586 AI papers

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