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Sahara AI is a decentralized AI blockchain platform designed for an open, equitable, and collaborative economy. It offers solutions for personal and business use, empowering users to monetize knowledge, enhance team collaboration, and explore AI opportunities. Sahara AI ensures AI sovereignty, user privacy, and transparency through blockchain technologies. The platform fosters a collaborative AI development environment with decentralized governance and equitable monetization. Sahara AI features secure vaults, a decentralized AI marketplace, a no-code toolkit, and SaharaID reputation system. It is backed by visionary investors and ecosystem partners, with a roadmap for future developments.

Sarvam AI is an AI application focused on leading transformative research in AI to develop, deploy, and distribute Generative AI applications in India. The platform aims to build efficient large language models for India's diverse linguistic culture and enable new GenAI applications through bespoke enterprise models. Sarvam AI is also developing an enterprise-grade platform for developing and evaluating GenAI apps, while contributing to open-source models and datasets to accelerate AI innovation.

ModularMind is a powerful AI assistant application designed to supercharge work efficiency by offering a range of AI-powered features. It allows users to extract relevant content and links from multiple web pages simultaneously, build AI workflows without coding, save prompts, import data, and utilize ready-to-use templates. Trusted by professionals, ModularMind enhances productivity by automating tasks and streamlining workflows.

Subbly is a subscription-first commerce platform that provides businesses with everything they need to launch and manage a successful subscription business. With Subbly, businesses can build a website, create and manage subscriptions, process payments, and track customer data. Subbly also offers a range of features to help businesses grow their subscription revenue, including AI-powered churn prediction, customizable checkout and upsell funnels, and powerful marketing tools.

Aiart.fm is a website that provides users with access to a variety of AI-powered art tools. These tools can be used to create unique and beautiful works of art, even if you have no prior experience with art or design. With Aiart.fm, you can create stunning images, videos, and music with just a few clicks.

SpamSpy is a community-powered AI platform designed to combat spam and malicious content online. It offers a range of pricing plans to suit different needs, from free options to enterprise solutions. The platform leverages supervised and unsupervised algorithms for accurate assessment of relevance, and personalized reinforcement models to enhance response quality. SpamSpy encourages community involvement and contributions to improve its spam detection capabilities.

Twinning is an AI application that allows users to create a virtual clone of themselves for their followers to interact with on social media platforms. Users can record an audio of themselves speaking, and the AI twin is generated within minutes. The application offers different pricing tiers based on the number of followers an influencer has, with features like professional voice cloning, audio messaging, and analytics. Twinning provides a unique way for influencers to engage with their audience and potentially monetize their AI twin's interactions.

Pl@ntNet is a citizen science project available as an application that helps you identify plants from your photos. It is a collaborative project that brings together scientists, naturalists, and citizens from all over the world to collect and share data on plant diversity. The app uses artificial intelligence to identify plants from photos, and the data collected is used to create a global database of plant diversity. Pl@ntNet is free to use and is available in over 20 languages.

Thinkific is an AI-powered online course platform that enables users to create, market, and sell digital learning products. With features like AI-powered tools, email marketing, digital downloads, coaching, webinars, and branded mobile apps, Thinkific empowers creators to build and scale their businesses. The platform provides full control over payments, enhanced reporting, and group orders to optimize sales. Thinkific also offers a supportive community of Creator Educators and partners, making it a comprehensive solution for individuals looking to monetize their expertise and share knowledge globally.

Kavout is an AI-powered financial research assistant that provides investors with data-driven insights and cutting-edge technology to help them make informed investment decisions. The platform offers a range of features, including natural language search, stock screening, portfolio analysis, and personalized recommendations. Kavout's AI algorithms adapt to each user's unique investment style, providing tailored insights and guidance.

aicrunch.io is a comprehensive platform dedicated to everything about AI, offering a curated collection of 1,384 verified and tested AI tools and growing. The website provides a wide range of AI-related content, including tools, articles, news, interviews, guides, and market insights. Users can search and personalize their AI experience, join the AI community, and access featured tools for various applications such as AI/ML API integration, chatbots, code interpretation, design, and more.

Sniper AI is an AI-powered platform that serves as a marketplace connecting job candidates with recruiters. The platform streamlines the recruitment process by leveraging artificial intelligence algorithms to match candidates with suitable job openings based on their skills and preferences. With a user-friendly interface, Sniper AI aims to revolutionize the hiring process by providing a seamless and efficient experience for both candidates and recruiters.

Venngage is a professional infographic software that offers over 10,000 templates for creating visually appealing and accessible designs. The platform provides a range of features such as AI-powered design tools, accessible editor and templates, branding and collaboration options, smart diagram features, diverse icons, and free stock photos. Users can easily create infographics, reports, presentations, diagrams, charts, and more with Venngage's user-friendly interface and AI-driven features.

MagicSchool.ai is an AI-powered platform designed specifically for educators and students. It offers a comprehensive suite of 60+ AI tools to help teachers with lesson planning, differentiation, assessment writing, IEP writing, clear communication, and more. MagicSchool.ai is easy to use, with an intuitive interface and built-in training resources. It is also interoperable with popular LMS platforms and offers easy export options. MagicSchool.ai is committed to responsible AI for education, with a focus on safety, privacy, and compliance with FERPA and state privacy laws.

AI-PRO.org is an artificial intelligence resource website that serves as the ultimate destination for learning and discovering all things AI. From the latest technologies and trends to expert insights and resources, users can find everything they need to maximize their AI knowledge and skills. Whether beginners or professionals, AI-PRO covers a wide range of AI topics, including image AI, AI chatbots, AI text generators, and much more, catering to a diverse audience seeking to enhance their understanding and proficiency in artificial intelligence.

Taplio is an AI-powered application designed to help users grow their personal brand on LinkedIn. It offers features such as AI-powered content creation, scheduling LinkedIn posts, building relationships, nurturing leads, analyzing LinkedIn statistics, and generating carousels. With Taplio, users can leverage AI to create personalized posts, schedule content with ease, find and engage with LinkedIn leads, and gain insights into their LinkedIn performance. The application is trusted by over 6,200 LinkedIn experts, founders, marketers, and professionals.

The website is a blog by Ryan Robinson focused on teaching people how to start a blog, create great content, and make money online. Ryan shares his personal experiences, strategies, and lessons learned in growing a profitable blog. The site offers resources, tools, and courses for bloggers, freelancers, and entrepreneurs looking to build a successful online presence. Ryan also provides coaching services and works with various content marketing clients, ranging from startups to Fortune 500 brands.

WienerAI is an innovative AI tool that offers daily staking rewards through the concept of a Wiener Dog. Users can join the presale to participate in this unique opportunity. The platform leverages artificial intelligence to provide staking rewards on a daily basis, creating an engaging and rewarding experience for participants. WienerAI combines the charm of Wiener Dogs with the benefits of AI technology, making it a one-of-a-kind platform in the cryptocurrency space.

Glambase is an AI Influencer Creation Platform that allows users to create custom AI influencers and monetize interactions with personalized content. Users can design unique digital personas, generate content effortlessly, make profits through exclusive content sales, and track earnings with real-time analytics. The platform provides high-quality AI models, a monetization dashboard, and discounts on future upgrades. Glambase offers a user-friendly experience with no steep learning curve, enabling users to create and manage AI influencers efficiently.

Curipod is an AI-powered educational platform that aims to enhance student engagement and learning outcomes. It offers personalized lessons, real-time feedback, and interactive activities to create a dynamic and supportive learning environment. With features like AI-driven feedback, rubric-aligned assessments, and customizable lesson plans, Curipod empowers teachers and students to collaborate effectively. The platform is designed to promote 100% student participation, foster peer interaction, and drive academic growth through innovative teaching methods.

LOTUS (LLMs Over Tables of Unstructured and Structured Data) is a query engine that provides a declarative programming model and an optimized query engine for reasoning-based query pipelines over structured and unstructured data. It offers a simple and intuitive Pandas-like API with semantic operators for fast and easy LLM-powered data processing. The tool implements a semantic operator programming model, allowing users to write AI-based pipelines with high-level logic and leaving the rest of the work to the query engine. LOTUS supports various semantic operators like sem_map, sem_filter, sem_extract, sem_agg, sem_topk, sem_join, sem_sim_join, and sem_search, enabling users to perform tasks like mapping records, filtering data, aggregating records, and more. The tool also supports different model classes such as LM, RM, and Reranker for language modeling, retrieval, and reranking tasks respectively.

DataFrame is a C++ analytical library designed for data analysis similar to libraries in Python and R. It allows you to slice, join, merge, group-by, and perform various statistical, summarization, financial, and ML algorithms on your data. DataFrame also includes a large collection of analytical algorithms in form of visitors, ranging from basic stats to more involved analysis. You can easily add your own algorithms as well. DataFrame employs extensive multithreading in almost all its APIs, making it suitable for analyzing large datasets. Key principles followed in the library include supporting any type without needing new code, avoiding pointer chasing, having all column data in contiguous memory space, minimizing space usage, avoiding data copying, using multi-threading judiciously, and not protecting the user against garbage in, garbage out.

MeloTTS is a high-quality multi-lingual text-to-speech library by MyShell.ai. It supports various languages including English (American, British, Indian, Australian), Spanish, French, Chinese, Japanese, and Korean. The Chinese speaker also supports mixed Chinese and English. The library is fast enough for CPU real-time inference and offers features like using without installation, local installation, and training on custom datasets. The Python API and model cards are available in the repository and on HuggingFace. The community can join the Discord channel for discussions and collaboration opportunities. Contributions are welcome, and the library is under the MIT License. MeloTTS is based on TTS, VITS, VITS2, and Bert-VITS2.

Open Life Science AI: Medical Reasoning Tasks is a collaborative hub for developing cutting-edge reasoning tasks for Large Language Models (LLMs) in the medical, healthcare, and clinical domains. The repository aims to advance AI capabilities in healthcare by fostering accurate diagnoses, personalized treatments, and improved patient outcomes. It offers a diverse range of medical reasoning challenges such as Diagnostic Reasoning, Treatment Planning, Medical Image Analysis, Clinical Data Interpretation, Patient History Analysis, Ethical Decision Making, Medical Literature Comprehension, and Drug Interaction Assessment. Contributors can join the community of healthcare professionals, AI researchers, and enthusiasts to contribute to the repository by creating new tasks or improvements following the provided guidelines. The repository also provides resources including a task list, evaluation metrics, medical AI papers, and healthcare datasets for training and evaluation.

FiftyOne is an open-source tool designed for building high-quality datasets and computer vision models. It supercharges machine learning workflows by enabling users to visualize datasets, interpret models faster, and improve efficiency. With FiftyOne, users can explore scenarios, identify failure modes, visualize complex labels, evaluate models, find annotation mistakes, and much more. The tool aims to streamline the process of improving machine learning models by providing a comprehensive set of features for data analysis and model interpretation.

AIStore is a lightweight object storage system designed for AI applications. It is highly scalable, reliable, and easy to use. AIStore can be deployed on any commodity hardware, and it can be used to store and manage large datasets for deep learning and other AI applications.

CSGHub is an open source platform for managing large model assets, including datasets, model files, and codes. It offers functionalities similar to a privatized Huggingface, managing assets in a manner akin to how OpenStack Glance manages virtual machine images. Users can perform operations such as uploading, downloading, storing, verifying, and distributing assets through various interfaces. The platform provides microservice submodules and standardized OpenAPIs for easy integration with users' systems. CSGHub is designed for large models and can be deployed On-Premise for offline operation.

Eval-Scope is a framework designed to support the evaluation of large language models (LLMs) by providing pre-configured benchmark datasets, common evaluation metrics, model integration, automatic evaluation for objective questions, complex task evaluation using expert models, reports generation, visualization tools, and model inference performance evaluation. It is lightweight, easy to customize, supports new dataset integration, model hosting on ModelScope, deployment of locally hosted models, and rich evaluation metrics. Eval-Scope also supports various evaluation modes like single mode, pairwise-baseline mode, and pairwise (all) mode, making it suitable for assessing and improving LLMs.

MockingBird is a toolbox designed for Mandarin speech synthesis using PyTorch. It supports multiple datasets such as aidatatang_200zh, magicdata, aishell3, and data_aishell. The toolbox can run on Windows, Linux, and M1 MacOS, providing easy and effective speech synthesis with pretrained encoder/vocoder models. It is webserver ready for remote calling. Users can train their own models or use existing ones for the encoder, synthesizer, and vocoder. The toolbox offers a demo video and detailed setup instructions for installation and model training.

Deep Lake is a Database for AI powered by a storage format optimized for deep-learning applications. Deep Lake can be used for: 1. Storing data and vectors while building LLM applications 2. Managing datasets while training deep learning models Deep Lake simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more. Deep Lake works with data of any size, it is serverless, and it enables you to store all of your data in your own cloud and in one place. Deep Lake is used by Intel, Bayer Radiology, Matterport, ZERO Systems, Red Cross, Yale, & Oxford.

CSGHub is an open source, trustworthy large model asset management platform that can assist users in governing the assets involved in the lifecycle of LLM and LLM applications (datasets, model files, codes, etc). With CSGHub, users can perform operations on LLM assets, including uploading, downloading, storing, verifying, and distributing, through Web interface, Git command line, or natural language Chatbot. Meanwhile, the platform provides microservice submodules and standardized OpenAPIs, which could be easily integrated with users' own systems. CSGHub is committed to bringing users an asset management platform that is natively designed for large models and can be deployed On-Premise for fully offline operation. CSGHub offers functionalities similar to a privatized Huggingface(on-premise Huggingface), managing LLM assets in a manner akin to how OpenStack Glance manages virtual machine images, Harbor manages container images, and Sonatype Nexus manages artifacts.

Autolabel is a Python library designed to label, clean, and enrich text datasets using Large Language Models (LLMs). It provides a simple 3-step process for labeling data, supports various NLP tasks, and offers features like confidence estimation, explanations, and state management. Users can access Refuel hosted LLMs for labeling and confidence estimation, and the library supports commercial and open source LLMs from providers like OpenAI, Anthropic, HuggingFace, and Google. Autolabel aims to streamline the labeling process for machine learning tasks by leveraging state-of-the-art LLM techniques and minimizing costs and experimentation time.

CSGHub Server is a part of the open source and reliable large model assets management platform - CSGHub. It focuses on management of models, datasets, and other LLM assets through REST API. Key features include creation and management of users and organizations, auto-tagging of model and dataset labels, search functionality, online preview of dataset files, content moderation for text and image, download of individual files, tracking of model and dataset activity data. The tool is extensible and customizable, supporting different git servers, flexible LFS storage system configuration, and content moderation options. The roadmap includes support for more Git servers, Git LFS, dataset online viewer, model/dataset auto-tag, S3 protocol support, model format conversion, and model one-click deploy. The project is licensed under Apache 2.0 and welcomes contributions.

Databend is an open-source cloud data warehouse that serves as a cost-effective alternative to Snowflake. With its focus on fast query execution and data ingestion, it's designed for complex analysis of the world's largest datasets.

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

Bolts package provides a variety of components to extend PyTorch Lightning, such as callbacks & datasets, for applied research and production. Users can accelerate Lightning training with the Torch ORT Callback to optimize ONNX graph for faster training & inference. Additionally, users can introduce sparsity with the SparseMLCallback to accelerate inference by leveraging the DeepSparse engine. Specific research implementations are encouraged, with contributions that help train SSL models and integrate with Lightning Flash for state-of-the-art models in applied research.

Transformer Lab is an app that allows users to experiment with Large Language Models by providing features such as one-click download of popular models, finetuning across different hardware, RLHF and Preference Optimization, working with LLMs across different operating systems, chatting with models, using different inference engines, evaluating models, building datasets for training, calculating embeddings, providing a full REST API, running in the cloud, converting models across platforms, supporting plugins, embedded Monaco code editor, prompt editing, inference logs, all through a simple cross-platform GUI.

Databend is an open-source cloud data warehouse built in Rust, offering fast query execution and data ingestion for complex analysis of large datasets. It integrates with major cloud platforms, provides high performance with AI-powered analytics, supports multiple data formats, ensures data integrity with ACID transactions, offers flexible indexing options, and features community-driven development. Users can try Databend through a serverless cloud or Docker installation, and perform tasks such as data import/export, querying semi-structured data, managing users/databases/tables, and utilizing AI functions.

ChatGLM3 is a conversational pretrained model jointly released by Zhipu AI and THU's KEG Lab. ChatGLM3-6B is the open-sourced model in the ChatGLM3 series. It inherits the advantages of its predecessors, such as fluent conversation and low deployment threshold. In addition, ChatGLM3-6B introduces the following features: 1. A stronger foundation model: ChatGLM3-6B's foundation model ChatGLM3-6B-Base employs more diverse training data, more sufficient training steps, and more reasonable training strategies. Evaluation on datasets from different perspectives, such as semantics, mathematics, reasoning, code, and knowledge, shows that ChatGLM3-6B-Base has the strongest performance among foundation models below 10B parameters. 2. More complete functional support: ChatGLM3-6B adopts a newly designed prompt format, which supports not only normal multi-turn dialogue, but also complex scenarios such as tool invocation (Function Call), code execution (Code Interpreter), and Agent tasks. 3. A more comprehensive open-source sequence: In addition to the dialogue model ChatGLM3-6B, the foundation model ChatGLM3-6B-Base, the long-text dialogue model ChatGLM3-6B-32K, and ChatGLM3-6B-128K, which further enhances the long-text comprehension ability, are also open-sourced. All the above weights are completely open to academic research and are also allowed for free commercial use after filling out a questionnaire.

LLamaTuner is a repository for the Efficient Finetuning of Quantized LLMs project, focusing on building and sharing instruction-following Chinese baichuan-7b/LLaMA/Pythia/GLM model tuning methods. The project enables training on a single Nvidia RTX-2080TI and RTX-3090 for multi-round chatbot training. It utilizes bitsandbytes for quantization and is integrated with Huggingface's PEFT and transformers libraries. The repository supports various models, training approaches, and datasets for supervised fine-tuning, LoRA, QLoRA, and more. It also provides tools for data preprocessing and offers models in the Hugging Face model hub for inference and finetuning. The project is licensed under Apache 2.0 and acknowledges contributions from various open-source contributors.

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