On-Premises Business Software

Training cutting-edge language models presents significant challenges; it demands vast computational resources, intricate distributed computing strategies, and substantial machine learning knowledge. Consequently, only a limited number of organizations embark on the journey of developing large language models (LLMs) from the ground up. Furthermore, many of those with the necessary capabilities and knowledge have begun to restrict access to their findings, indicating a notable shift from practices observed just a few months ago. At Cerebras, we are committed to promoting open access to state-of-the-art models. Therefore, we are excited to share with the open-source community the launch of Cerebras-GPT, which consists of a series of seven GPT models with parameter counts ranging from 111 million to 13 billion. Utilizing the Chinchilla formula for training, these models deliver exceptional accuracy while optimizing for computational efficiency. Notably, Cerebras-GPT boasts quicker training durations, reduced costs, and lower energy consumption compared to any publicly accessible model currently available. By releasing these models, we hope to inspire further innovation and collaboration in the field of machine learning.

Experience an intuitive and secure collaboration platform designed to enhance your team's efficiency while ensuring full GDPR compliance. Twake serves as the central hub for your organization, facilitating key operations. Instantly connect with coworkers and initiate video conferences with the entire team through seamless Jitsi integration. Whether starting a call from a chat channel or scheduling it as a calendar event, Twake makes meeting organization effortless. The integrated calendar feature allows for the effective management of your global team's schedule, enabling you to create separate calendars for distinct teams, where you can add events, deadlines, and tasks for collaborative sharing. Customize your workspaces by installing your preferred applications, ensuring each remains independent of discussions, files, and calendars, tailored to meet the unique needs of different teams. Collaborate in real-time on documents directly within the platform, eliminating the need for downloads, and allowing multiple users to work together on various formats such as MS Office, Google Docs, and Libre Office. This level of integration and flexibility ensures that your team can focus on what truly matters—achieving their goals together.

Incorporate charts into emails, reports, and various other platforms seamlessly. With over 3 billion charts generated for users globally, our service offers a straightforward and open API for creating chart images. Our chart API doesn't just produce charts; it also generates QR codes and additional visual content. Built on the widely-used Chart.js library, we can render any configuration you desire. To get started, simply input your Chart.js definition into a URL. Unleash your creativity by utilizing all the static customization options provided in Chart.js. Explore our chart gallery to discover a variety of chart types and plugins, such as bar charts, line graphs, pie charts, and beyond. QuickChart integrates effortlessly with numerous no-code tools, allowing you to produce custom chart templates that can be dynamically embedded in applications like spreadsheets, Airtable, Bubble, AppSheet, Thunkable, and many others. While rendering at scale can pose challenges and demand significant resources, we have invested considerable effort into managing these complexities, enabling you to concentrate on enhancing your application. By simplifying the chart generation process, we empower users to visualize data effectively and efficiently.

Open source continuous profiling allows you to identify and resolve your most critical performance challenges across code, infrastructure, and CI/CD pipelines. It offers the ability to tag data based on dimensions that are significant to your organization. This solution facilitates the economical and efficient storage of vast amounts of high cardinality profiling data. With FlameQL, users can execute custom queries to swiftly select and aggregate profiles, making analysis straightforward and efficient. You can thoroughly examine application performance profiles using our extensive suite of profiling tools. Gain insights into CPU and memory resource utilization at any moment, enabling you to detect performance issues before your customers notice them. The platform also consolidates profiles from various external profiling tools into a single centralized repository for easier management. Moreover, by linking to your OpenTelemetry tracing data, you can obtain request-specific or span-specific profiles, which significantly enrich other observability data such as traces and logs, ensuring a comprehensive understanding of application performance. This holistic approach fosters proactive monitoring and enhances overall system reliability.

Cutting expenses, saving time, and minimizing risks can be achieved through automation with PROCESIO. Transform your business operations to enhance agility, refine decision-making, and elevate customer satisfaction. Teams within businesses leverage PROCESIO to drive innovation, streamline operations, and attain greater results. This platform empowers operational teams to become adept automation creators, facilitating the seamless integration of various tools. Additionally, it enables the automation of workflows, significantly lessening the burden of manual tasks. Both executives and sales personnel rely on accurate data to inform their decisions. With PROCESIO, operational teams can support decision-makers by managing, validating, and enhancing data in real-time. At the heart of organizational efficiency, business operations teams are continually seeking innovative strategies to optimize processes. Scale rapidly by utilizing adaptive, cloud-native technology and infrastructure that can grow as needed. Should you require features not readily available, you have the option to develop your own custom actions, ensuring that your process design is fully tailored to your needs. This flexibility fosters an environment where continuous improvement is not only possible but encouraged.

Reify is a low-code development platform that merges visual design and traditional coding into a unified workflow. Its Hybrid Development model lets developers visually design enterprise applications in the cloud while integrating their work directly with IDE-based projects. This creates a seamless spectrum between low-code and full-code development, allowing teams to choose the most efficient approach for each task. Applications built with Reify are fully responsive and deployable across devices. The system generates 100% declarative, standards-based code with no proprietary runtime or lock-in, and it remains editable in both environments. Developers can connect to internal or external data sources, extend functionality, and customize logic using familiar tools and languages. Because the generated artifacts are built on the SmartClient platform, every visual element corresponds to mature, production-proven components with consistent APIs and behaviors. Reify’s architecture supports real-world enterprise complexity, including authentication, business logic, and data integration. Developers can add new features directly in the visual designer while preserving control of their application structure and security model. As part of the SmartClient ecosystem, Reify inherits advanced data binding, adaptive layouts, and a modular client architecture designed for performance and maintainability. By combining visual productivity with full-code extensibility, Reify bridges the gap between low-code speed and professional software engineering, helping teams deliver sophisticated, high-quality applications faster and with greater flexibility.

Falcon-40B is a causal decoder-only model consisting of 40 billion parameters, developed by TII and trained on 1 trillion tokens from RefinedWeb, supplemented with carefully selected datasets. It is distributed under the Apache 2.0 license. Why should you consider using Falcon-40B? This model stands out as the leading open-source option available, surpassing competitors like LLaMA, StableLM, RedPajama, and MPT, as evidenced by its ranking on the OpenLLM Leaderboard. Its design is specifically tailored for efficient inference, incorporating features such as FlashAttention and multiquery capabilities. Moreover, it is offered under a flexible Apache 2.0 license, permitting commercial applications without incurring royalties or facing restrictions. It's important to note that this is a raw, pretrained model and is generally recommended to be fine-tuned for optimal performance in most applications. If you need a version that is more adept at handling general instructions in a conversational format, you might want to explore Falcon-40B-Instruct as a potential alternative.

Falcon-7B is a causal decoder-only model comprising 7 billion parameters, developed by TII and trained on an extensive dataset of 1,500 billion tokens from RefinedWeb, supplemented with specially selected corpora, and it is licensed under Apache 2.0. What are the advantages of utilizing Falcon-7B? This model surpasses similar open-source alternatives, such as MPT-7B, StableLM, and RedPajama, due to its training on a remarkably large dataset of 1,500 billion tokens from RefinedWeb, which is further enhanced with carefully curated content, as evidenced by its standing on the OpenLLM Leaderboard. Additionally, it boasts an architecture that is finely tuned for efficient inference, incorporating technologies like FlashAttention and multiquery mechanisms. Moreover, the permissive nature of the Apache 2.0 license means users can engage in commercial applications without incurring royalties or facing significant limitations. This combination of performance and flexibility makes Falcon-7B a strong choice for developers seeking advanced modeling capabilities.

Foundation models, including GPT-4, have significantly accelerated advancements in artificial intelligence, yet the most advanced models remain either proprietary or only partially accessible. In response to this challenge, the RedPajama initiative aims to develop a collection of top-tier, fully open-source models. We are thrilled to announce that we have successfully completed the initial phase of this endeavor: recreating the LLaMA training dataset, which contains over 1.2 trillion tokens. Currently, many of the leading foundation models are locked behind commercial APIs, restricting opportunities for research, customization, and application with sensitive information. The development of fully open-source models represents a potential solution to these limitations, provided that the open-source community can bridge the gap in quality between open and closed models. Recent advancements have shown promising progress in this area, suggesting that the AI field is experiencing a transformative period akin to the emergence of Linux. The success of Stable Diffusion serves as a testament to the fact that open-source alternatives can not only match the quality of commercial products like DALL-E but also inspire remarkable creativity through the collaborative efforts of diverse communities. By fostering an open-source ecosystem, we can unlock new possibilities for innovation and ensure broader access to cutting-edge AI technology.

Vicuna-13B is an open-source conversational agent developed through the fine-tuning of LLaMA, utilizing a dataset of user-shared dialogues gathered from ShareGPT. Initial assessments, with GPT-4 serving as an evaluator, indicate that Vicuna-13B achieves over 90% of the quality exhibited by OpenAI's ChatGPT and Google Bard, and it surpasses other models such as LLaMA and Stanford Alpaca in more than 90% of instances. The entire training process for Vicuna-13B incurs an estimated expenditure of approximately $300. Additionally, the source code and model weights, along with an interactive demonstration, are made available for public access under non-commercial terms, fostering a collaborative environment for further development and exploration. This openness encourages innovation and enables users to experiment with the model's capabilities in diverse applications.

We are excited to present MPT-7B, the newest addition to the MosaicML Foundation Series. This transformer model has been meticulously trained from the ground up using 1 trillion tokens of diverse text and code. It is open-source and ready for commercial applications, delivering performance on par with LLaMA-7B. The training process took 9.5 days on the MosaicML platform, requiring no human input and incurring an approximate cost of $200,000. With MPT-7B, you can now train, fine-tune, and launch your own customized MPT models, whether you choose to begin with one of our provided checkpoints or start anew. To provide additional options, we are also introducing three fine-tuned variants alongside the base MPT-7B: MPT-7B-Instruct, MPT-7B-Chat, and MPT-7B-StoryWriter-65k+, the latter boasting an impressive context length of 65,000 tokens, allowing for extensive content generation. These advancements open up new possibilities for developers and researchers looking to leverage the power of transformer models in their projects.

OpenLLaMA is an openly licensed reproduction of Meta AI's LLaMA 7B, developed using the RedPajama dataset. The model weights we offer can seamlessly replace the LLaMA 7B in current applications. Additionally, we have created a more compact 3B version of the LLaMA model for those seeking a lighter alternative. This provides users with more flexibility in choosing the right model for their specific needs.

BoardCloud is loaded with a variety of features aimed at enhancing the organization and administration of meetings for the board of directors and various committees. Utilizing the cutting-edge Microsoft .Net Core framework, it provides the quickest and most secure software-as-a-service solution for board management on the market today. Key features encompass: - An intuitive drag-and-drop Agenda Builder - Compatibility with all Microsoft Office documents, PDFs, and a range of image formats - A voting system for resolutions - Capabilities for document signatures - Essential forms like Directors Interests - A platform for discussions - The ability to manage multiple revisions of board packs - Integration for meeting invitations with Teams or Zoom, facilitating seamless communication. In addition to these features, BoardCloud prioritizes user experience and efficiency, ensuring that all participants can engage effectively in the decision-making process.

Proxidize is a proxy provider offering ready-made mobile and residential proxies, along with software tools to build and manage private proxy infrastructure from a single cloud dashboard. Proxidize Mobile Proxies deliver premium US-based 4G LTE and 5G IPs with full rotation control, HTTP(S) and SOCKS5 support, unlimited threads, and 99.9% uptime. Plans are available on a monthly per-proxy basis or per-GB usage model, depending on operational needs. Key features of Proxidize Mobile Proxies: • US-based 4G LTE and 5G mobile IPs • HTTP(S) and SOCKS5 support • Automatic or on-demand IP rotation • Monthly per-proxy or per-GB billing options • Unlimited threads • 99.9% uptime Proxidize Residential Proxies provide access to millions of real residential IPs with worldwide coverage across 190+ countries. Users can choose between rotating or sticky sessions, with ISP, country, and city-level targeting included at no additional cost. All plans support unlimited threads and rollover bandwidth, so unused data remains available. Key features of Proxidize Residential Proxies: • Worldwide coverage in 190+ countries • Rotating and sticky sessions • ISP, country, and city-level targeting included • Unlimited threads • Rollover bandwidth with no expiration on paid data • Pricing from $1 per GB for standard plans to $0.5 per GB for enterprise plans All services are managed through a unified, browser-based Proxidize dashboard, allowing users to monitor, configure, and control their proxy infrastructure from a single interface.

Karlo serves as an innovative model designed to create images from textual descriptions. It enhances the impressive unCLIP architecture developed by OpenAI by improving the conventional super-resolution model, enabling it to capture complex details at an impressive resolution of 256px, while effectively reducing noise through a limited number of denoising iterations. In developing Karlo, we undertook a comprehensive training regimen that began from the ground up, leveraging a substantial dataset of 115 million image-text pairs, which included COYO-100M, CC3M, and CC12M. For the Prior and Decoder sections, we utilized the advanced ViT-L/14 text encoder sourced from OpenAI's CLIP library. To boost performance, we implemented a notable alteration to the original unCLIP design; rather than using a trainable transformer in the decoder, we opted to incorporate the text encoder from ViT-L/14, thereby enhancing the model's capability. This strategic choice not only streamlined the architecture but also contributed to improved image quality and fidelity.

Noodl's low-code platform empowers teams of designers and developers to collaborate effectively within a unified and dynamic environment, facilitating the journey from concept to deployment. Users can seamlessly switch between frontend and backend tasks thanks to Noodl's intuitive visual programming language. The platform is designed to accelerate the development of full-stack applications, enhancing collaboration across different teams. As users connect data and logic to UI components, they witness their creations come to life in real time. The platform offers live visualization of data flows during both construction and interaction phases, simplifying the processes of handovers and debugging. By allowing integration of JavaScript with just a click, Noodl combines visual programming with traditional coding, treating code as an integral part of the development process and fostering collaboration with those who may not code. Developers can create their own reusable components for UI and logic, utilizing core nodes and existing elements, with Noodl’s component model being adaptable and scalable just like conventional programming. Ultimately, Noodl redefines the way teams innovate and deliver software solutions.

Mathpix offers a comprehensive suite of products designed to enhance careers within the STEM fields. Our innovative tools simplify the processes of teaching, writing, publishing, and collaborating on scientific research, making them both efficient and gratifying. Users can swiftly transform images and PDFs into various formats like DOCX, LaTeX, HTML, and Markdown. By leveraging advanced resources, researchers can publish their findings and create assignments in significantly less time. The platform fosters effortless collaboration among colleagues, researchers, and students alike. The Snipping Tool is a user-friendly desktop application that lets you capture mathematical formulas and chemical structures from your screen and transfer them to your clipboard instantly using a keyboard shortcut. It supports LaTeX, Markdown, and MS Word, ensuring versatility in document creation. Furthermore, the integrated collaborative editing environment harnesses AI to facilitate seamless teamwork for researchers, with straightforward options for exporting to LaTeX, MS Word, and PDF files. You can easily convert a screenshot of an equation to LaTeX by pasting it directly into your editor, which streamlines the workflow significantly. Additionally, the platform provides cloud syncing across devices, features such as autocompletion, and numerous exporting options, making it a robust tool for modern scientific communication. With Mathpix, enhancing productivity in STEM has never been easier or more efficient.

DeskFX audio enhancement software allows you to enhance and modify the audio and music played through your speakers or headphones to give you the best possible sound. 1. Audio effects include equalize (amplify), reverb (chorus), wahwah (vibrato), vibrato and tremolo. Boost your music's bass. 2. Switch between graphic, visual or parametric equalizers. Create a sophisticated, customized, audio experience. 3. Live low and high pass filters can be used to suppress unwanted noise. You can apply an unlimited number audio effects. Create your own sound by layering effects. 4. It's easy to customize the effects with an intuitive interface. Compatible with Spotify, Pandora Apple Music, YouTube, TV & movies streaming, games, and more.

GPT4All represents a comprehensive framework designed for the training and deployment of advanced, tailored large language models that can operate efficiently on standard consumer-grade CPUs. Its primary objective is straightforward: to establish itself as the leading instruction-tuned assistant language model that individuals and businesses can access, share, and develop upon without restrictions. Each GPT4All model ranges between 3GB and 8GB in size, making it easy for users to download and integrate into the GPT4All open-source software ecosystem. Nomic AI plays a crucial role in maintaining and supporting this ecosystem, ensuring both quality and security while promoting the accessibility for anyone, whether individuals or enterprises, to train and deploy their own edge-based language models. The significance of data cannot be overstated, as it is a vital component in constructing a robust, general-purpose large language model. To facilitate this, the GPT4All community has established an open-source data lake, which serves as a collaborative platform for contributing valuable instruction and assistant tuning data, thereby enhancing future training efforts for models within the GPT4All framework. This initiative not only fosters innovation but also empowers users to engage actively in the development process.

HRS-AHED, a new software for the calculation shell and tube heat transferrs, features fluids and mixing assistance, sensible heat / condensate calculations, single and multi pass units with or without baffles, and many other features: fluid database and customizable geometries; project sharing; batch calculation; vibration analysis and reporting. We have searched scientific literature extensively to ensure that the most up-to-date methods of heat transfer engineering calculation are used in the software. AHED has been used successfully to design many heat exchangers, making it a software solution that is industrially proven.

DoorDesk is an advanced visitor management solution that transforms the visitor check-in experience. It includes features such as self-service kiosks, digital registration, and ID capture, allowing for effortless check-ins. The platform also facilitates secure signing of visitor NDAs and makes managing invitations straightforward. Enhanced security and operational efficiency are achieved through real-time tracking, comprehensive reporting, and support for multiple locations. By using DoorDesk, organizations can optimize their visitor management processes, conserve time, and foster a professional, secure atmosphere for all visitors. Additionally, the software's user-friendly interface ensures that both staff and visitors can navigate the system with ease.

Lancelot is an entire product family that provides comprehensive support for trading on all energy markets, commodities and flexibility products. Lancelot allows traders to take advantage of the power of advanced AI-based computing engines, machine learning, and data science in order to make better decisions and maximize profits. Lancelot ETRM enables energy traders to manage transactions, monitor risk, and automate complicated workflows. It integrates data from multiple sources and provides real time data analysis to enable faster and better decisions. Lancelot FMS uses AI-based data analytics and advanced algorithms to accurately predict energy prices, system inequalities, load and consumption forecasts or renewable energy production. Lancelot Hub, a cloud-based service, provides energy traders with precise analytics and data. It uses advanced algorithms for calculating precise forward curves and trends on the market, giving traders unprecedented insight into market forecasts.

Lemmy serves as a decentralized platform for social link aggregation and discussion, operating on a self-hosted model. It is entirely free and open-source, ensuring independence from corporate control, which eliminates advertising, user tracking, and concealed algorithms. Users can navigate through various communities, facilitating subscriptions to preferred topics while easily disregarding those that do not interest them. The platform employs a voting system that elevates the most engaging content to prominence. Remaining committed to being free and open source, Lemmy operates under the robust copyleft AGPL License. Built using cutting-edge frameworks and tools such as Rust, Actix, Diesel, Inferno, and Typescript, Lemmy ensures high performance. Each individual server has the autonomy to establish its own moderation rules, promoting a constructive atmosphere that encourages participation from everyone. With Lemmy, users have the opportunity to host their own servers, all of which are interconnected through a federated system reminiscent of email, culminating in a vast network known as the Fediverse. This interconnectedness allows for diverse interactions across servers, enriching the user's experience and engagement within the community.

Prepare yourself for a development environment that can finally keep pace with your creativity. Vite is a cutting-edge build tool designed to deliver an accelerated and streamlined development experience tailored for contemporary web projects. It is composed of two primary components: A development server that enhances native ES modules with rich features, including incredibly swift Hot Module Replacement (HMR) capabilities. A build command that utilizes Rollup to bundle your code, pre-configured to generate highly optimized static assets suitable for production environments. Vite is designed with strong opinions and comes equipped with practical defaults right out of the box, while also being highly adaptable through its Plugin API and JavaScript API, complete with full typing support. This flexibility allows developers to customize their setup to meet specific project needs, enhancing the overall development workflow.

Scalytics Connect combines data mesh and in-situ data processing with polystore technology, resulting in increased data scalability, increased data processing speed, and multiplying data analytics capabilities without losing privacy or security. You take advantage of all your data without wasting time with data copy or movement, enable innovation with enhanced data analytics, generative AI and federated learning (FL) developments. Scalytics Connect enables any organization to directly apply data analytics, train machine learning (ML) or generative AI (LLM) models on their installed data architecture.