Best AI tools for< Multitask Learning >

Recast is a platform that transforms articles into rich audio summaries, making it easier for users to consume content on the go, while working out, or simply looking for a more convenient way to stay informed. It provides entertaining, informative, and easy-to-understand audio conversations, helping users save time, reduce screen-time, understand content more deeply, discover interesting stories, and clear their reading list. Recast aims to enhance the reading experience by converting long articles into engaging podcasts, enabling users to enjoy content in a conversational format.

Article2audio is a text-to-speech application that focuses on web content. It uses AI to understand and enhance English articles and blog posts before converting them to audio, making listening easier and more natural. Some of its key features include descriptive imagery, table summaries, complex text interpretation, and meaningful voice-overs.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

Auphonic is an AI-powered audio post-production web tool designed to help users achieve professional-quality audio results effortlessly. It offers a range of features such as Intelligent Leveler, Noise & Reverb Reduction, Filtering & AutoEQ, Cut Filler Words and Silence, Multitrack Algorithms, Loudness Specifications, Speech2Text & Automatic Shownotes, Video Support, Metadata & Chapters, and more. Auphonic is widely used by podcasters, educators, content creators, and audiobook producers to enhance their audio content and streamline their workflows. With its intuitive interface and advanced algorithms, Auphonic simplifies the audio editing process and ensures consistent audio quality across different platforms.

Speechki is an AI Realistic Voice Generator and Text-to-Speech Solution offering over 1,100 voices in 80+ languages. It provides a user-friendly platform for converting text into engaging audio with AI-powered voices. The application is designed to cater to various needs such as audiobook production, content creation, podcasting, and more. With features like real-time proof-listening, chapter-like formatting, streamlined role management, precision pause control, and nuanced speech control, Speechki aims to enhance the user experience and deliver lifelike audio output. The tool also offers global reach with multicast and multilanguage support, making it suitable for a diverse audience.

SigmaOS is a revolutionary AI-powered browser application that offers a fresh and organized browsing experience. It features innovative tools such as Workspaces for tab organization, Vertical tabs for task management, Split Screen for multitasking, Lazy Search for quick searches, and Ask Anything for contextual information retrieval. With advantages like ad-free browsing, focus mode, easy migration, and community support, SigmaOS aims to simplify and enhance users' internet interactions. However, it has limitations such as being available only on macOS and lacking support for Windows. SigmaOS leverages AI technology, including the A1Kit browser engine, to provide intelligent assistance and streamline daily tasks.

Playtext is a web application that allows users to save web articles and convert them into audiobooks. In a world filled with short attention spans and information overload, Playtext aims to help users read more by providing a read-it-later app similar to Pocket or Instapaper. Users can have their favorite articles read aloud to them by human-like voices, and even train their ears to read at up to 3x the speed. By enabling users to read and listen simultaneously, Playtext enhances content retention and comprehension, offering a new way to enjoy reading and consuming information.

Listen2.AI is a mobile application that provides real-time news in a podcast format. It offers hands-free news consumption, multilingual support, and diverse perspectives. The app is designed to keep users informed and engaged with the world around them, even when they are on the move or multitasking.

AudioBook Bot is an AI-powered application that converts text into spoken audio, providing users with the convenience of listening to books and other text-based content. The tool utilizes advanced natural language processing and speech synthesis technologies to create high-quality audio renditions. Users can simply input text, and the bot will generate an audio version that can be played on various devices. With its user-friendly interface and efficient processing capabilities, AudioBook Bot offers a seamless experience for those who prefer listening over reading.

Sead is an AI-powered application that transforms articles into podcasts, offering users the flexibility to read or listen to content at their convenience. By leveraging AI technology, Sead enhances the reading experience by providing audio narration, summarizing key points, and enabling translation into multiple languages. Users can save time, improve understanding, and multitask efficiently with Sead's intelligent features. The app aims to streamline the consumption of information and promote a smarter way of reading and listening.

Lettercast is an AI-powered application that transforms your newsletters into personalized audio and text summaries, allowing you to stay up-to-date with all the news on the go. It converts your newsletters into bite-sized podcasts using the latest AI technology, providing a convenient way to consume information while commuting, working out, or cooking. With no limit on the number of newsletters you can convert, Lettercast ensures that you can listen to your daily podcasts at your convenience, all while prioritizing data security and user privacy.

Descript is an AI-powered editing assistant that allows users to edit videos and podcasts with ease. It offers features such as video editing, multitrack audio editing, clip selection, remote recording, captions, screen recording, transcription, AI speech generation, and more. Descript's AI capabilities help users create high-quality content effortlessly, making it a valuable tool for creators and teams. With a user-friendly interface and advanced AI features, Descript simplifies the video editing process and enhances productivity.

Push Lap Wholesale is a powerful Amazon wholesale sourcing tool that helps you find profitable products, save time, and hit your targets. With 97% matching accuracy, you can quickly scan your bulk price lists and never miss a potential profitable product. Our world-class platform provides you with detailed product information, including Keepa charts, historical averages, profit calculations, variation data, competition analysis, and multipack adjustments. You can also create and manage suppliers' purchase lists, export them as CSV files, and get the total cost and profit of each list. Additionally, we provide you with 500+ auto-ungate ASINs for free and access to a list of over 4,000 vetted and verified distributors with contact details.

ML-AI-2-LT is a repository that serves as a glossary for machine learning and deep learning concepts. It contains translations and explanations of various terms related to artificial intelligence, including definitions and notes. Users can contribute by filling issues for unclear concepts or by submitting pull requests with suggestions or additions. The repository aims to provide a comprehensive resource for understanding key terminology in the field of AI and machine learning.

AI System School is a curated list of research in machine learning systems, focusing on ML/DL infra, LLM infra, domain-specific infra, ML/LLM conferences, and general resources. It provides resources such as data processing, training systems, video systems, autoML systems, and more. The repository aims to help users navigate the landscape of AI systems and machine learning infrastructure, offering insights into conferences, surveys, books, videos, courses, and blogs related to the field.

The 'awesome-sound_event_detection' repository is a curated reading list focusing on sound event detection and Sound AI. It includes research papers covering various sub-areas such as learning formulation, network architecture, pooling functions, missing or noisy audio, data augmentation, representation learning, multi-task learning, few-shot learning, zero-shot learning, knowledge transfer, polyphonic sound event detection, loss functions, audio and visual tasks, audio captioning, audio retrieval, audio generation, and more. The repository provides a comprehensive collection of papers, datasets, and resources related to sound event detection and Sound AI, making it a valuable reference for researchers and practitioners in the field.

This repository is a curated list of awesome public object detection and recognition datasets. It includes a wide range of datasets related to object detection and recognition tasks, such as general detection and recognition datasets, autonomous driving datasets, adverse weather datasets, person detection datasets, anti-UAV datasets, optical aerial imagery datasets, low-light image datasets, infrared image datasets, SAR image datasets, multispectral image datasets, 3D object detection datasets, vehicle-to-everything field datasets, super-resolution field datasets, and face detection and recognition datasets. The repository also provides information on tools for data annotation, data augmentation, and data management related to object detection tasks.

Recent LLM (Large Language Models)-based CV and multi-modal works.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

This repository is an updating survey for Continual Learning of Large Language Models (CL-LLMs), providing a comprehensive overview of various aspects related to the continual learning of large language models. It covers topics such as continual pre-training, domain-adaptive pre-training, continual fine-tuning, model refinement, model alignment, multimodal LLMs, and miscellaneous aspects. The survey includes a collection of relevant papers, each focusing on different areas within the field of continual learning of large language models.

The Open MatSci ML Toolkit is a flexible framework for machine learning in materials science. It provides a unified interface to a variety of materials science datasets, as well as a set of tools for data preprocessing, model training, and evaluation. The toolkit is designed to be easy to use for both beginners and experienced researchers, and it can be used to train models for a wide range of tasks, including property prediction, materials discovery, and materials design.

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.

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.

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.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

AudioLLMs is a curated collection of research papers focusing on developing, implementing, and evaluating language models for audio data. The repository aims to provide researchers and practitioners with a comprehensive resource to explore the latest advancements in AudioLLMs. It includes models for speech interaction, speech recognition, speech translation, audio generation, and more. Additionally, it covers methodologies like multitask audioLLMs and segment-level Q-Former, as well as evaluation benchmarks like AudioBench and AIR-Bench. Adversarial attacks such as VoiceJailbreak are also discussed.

AI-IGU is a GitHub repository focused on Artificial Intelligence (AI) concepts, technology, software development, and algorithm improvement for all ages and professions. It emphasizes the importance of future software for future scientists and the increasing need for software developers in the industry. The repository covers various topics related to AI, including machine learning, deep learning, data mining, data science, big data, and more. It provides educational materials, practical examples, and hands-on projects to enhance software development skills and create awareness in the field of AI.

Speech Trident is a repository focusing on speech/audio large language models, covering representation learning, neural codec, and language models. It explores speech representation models, speech neural codec models, and speech large language models. The repository includes contributions from various researchers and provides a comprehensive list of speech/audio language models, representation models, and codec models.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

LLMLanding is a repository focused on practical implementation of large models, covering topics from theory to practice. It provides a structured learning path for training large models, including specific tasks like training 1B-scale models, exploring SFT, and working on specialized tasks such as code generation, NLP tasks, and domain-specific fine-tuning. The repository emphasizes a dual learning approach: quickly applying existing tools for immediate output benefits and delving into foundational concepts for long-term understanding. It offers detailed resources and pathways for in-depth learning based on individual preferences and goals, combining theory with practical application to avoid overwhelm and ensure sustained learning progress.

Advanced multi-tasking GPT with real-time data management, image generation, and document editing.