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.

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.

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 video and podcast editing tool that simplifies the editing process by allowing users to edit videos and podcasts like working on documents and slides. It offers features such as multitrack audio editing, automatic transcription, screen recording, and AI-generated captions. Descript's AI assistant, Underlord, enhances creativity by assisting in tasks like creating clips, translations, eye contact adjustments, and studio sound enhancements. The tool is designed to streamline the workflow for creators and teams, providing a user-friendly interface and powerful AI capabilities.

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.

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.

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.

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**

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

This repository serves as a collection of Google Colaboratory Notebooks for various tasks in Natural Language Processing (NLP), Natural Language Generation (NLG), Computer Vision, Generative Adversarial Networks (GANs), Streamlit applications, tutorials, UI/UX experiments, and other miscellaneous projects. It includes a wide range of pre-trained models, fine-tuning examples, and demos for tasks such as text generation, image processing, and more. The notebooks cover topics like self-attention, language model finetuning, emotion detection, image inpainting, and streamlit app creation. Users can explore different models, datasets, and techniques through these shared notebooks.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

SiLLM is a toolkit that simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework. It provides features such as LLM loading, LoRA training, DPO training, a web app for a seamless chat experience, an API server with OpenAI compatible chat endpoints, and command-line interface (CLI) scripts for chat, server, LoRA fine-tuning, DPO fine-tuning, conversion, and quantization.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Awesome-LLM-Large-Language-Models-Notes is a repository that provides a comprehensive collection of information on various Large Language Models (LLMs) classified by year, size, and name. It includes details on known LLM models, their papers, implementations, and specific characteristics. The repository also covers LLM models classified by architecture, must-read papers, blog articles, tutorials, and implementations from scratch. It serves as a valuable resource for individuals interested in understanding and working with LLMs in the field of Natural Language Processing (NLP).

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