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35,738 results · Page 273 of 993

Juno AI

AI finance

Juno AI (official website thisisjuno.ai, product name also known as OQU / OQU.ai) is an intelligent automation platform for lending and brokerage businesses, belonging to Agentic AI for financial lending operations. It is positioned to automate loan operations processes, from a borrower's first contact to the formation of a complete packaged deal, helping banks, alternative lenders, commercial and real estate finance brokers, wholesale lenders and auditors, loan marketplaces, and others reduce manual work, accelerate quote and approval turnaround, and envisions being able to equivalently take on more than 10 operational roles. Its AI agents are trained on users' own underwriting rules, credit policies, and operational processes, can understand context, communicate with brokers and borrowers, analyze financial data, and execute tasks consistently and accurately across systems. Main capabilities include instantly responding to borrower and broker inquiries, automatically collecting documents and identifying gaps and follow-ups, creating and advancing records in CRMs and loan systems, analyzing financial documents, cross-checking sources, and flagging anomalies early. The platform can integrate with email systems, CRMs, loan management platforms, websites, and third-party data providers without requiring infrastructure changes; it also emphasizes enterprise-grade security and controls for regulated industries.

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Jupyter Widgets official documentation

AI office

The "Widget Basics" example page in the official Jupyter Widgets documentation, introducing the concepts and basic usage of controls in ipywidgets. Widgets are eventful Python objects that have a representation in the browser, often appearing as controls such as sliders and text boxes. They can be used to build interactive graphical interfaces for Notebooks, and can also synchronize stateful and stateless information between Python and JavaScript. The page covers importing ipywidgets, ways to display controls (automatic display and explicit display), keeping front-end views synchronized when the same control is displayed multiple times, closing controls, reading and setting control properties (such as value, keys, description, disabled), setting initial values in the constructor, and linking two control properties via link or jslink and being able to unlink them.

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k-dense-byok

AI search

K-Dense BYOK is a free, open-source desktop AI research assistant, codenamed Kady, aimed at scientists in all fields. Users describe tasks in natural language (such as analyzing a dataset, reviewing a manuscript, searching the literature, or creating charts), and Kady executes them within a complete research workspace: inspecting files, writing and running analysis code, searching for and reading sources, generating charts and reports, and keeping a verifiable record of the work. The app itself is free and requires bringing your own AI model account or API key (BYOK), with project data stored on the local computer. It is currently in Beta.

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k8m

AI design

k8m is a lightweight, cross-platform Mini Kubernetes AI Dashboard console tool designed specifically to simplify Kubernetes cluster management and operations. It builds its interface based on AMIS, uses kom as the Kubernetes API client, has built-in Qwen2.5-Coder-7B, and supports interaction with the deepseek-ai/DeepSeek-R1-Distill-Qwen-7B model. It can also connect to users' own private large models (including Ollama). k8m integrates multi-cluster management, intelligent analysis, real-time anomaly detection, MCP integration and permission connectivity, cluster inspection, Event forwarding, CRD management, Helm marketplace, Pod file and runtime management, API exposure, and other capabilities, and supports cluster types such as standard k8s, AWS EKS, k3s, kind, and k0s. The backend uses Golang, the frontend is based on Baidu AMIS, and all functions are integrated into a single executable file. It supports multiple architectures such as x86 and ARM, is compatible with Linux, macOS, and Windows, supports multiple databases such as SQLite, MySQL, and PostgreSQL, and can be deployed as a single file. The project is fully open source, allows free customization and extension, and can be used commercially. The default login username is k8m, and the password is k8m. After going live, the username and password must be changed and two-step verification enabled.

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kami

AI office

Kami (Japanese for "紙", meaning paper) is a set of typesetting skills for AI agents, inspired by paper typesetting, for elegant on-screen reading. It provides AI agents with layout rules and templates for outputting PDF, PNG, and editable PowerPoint, with eight built-in document templates and a product landing page. Kami is the delivery stage of a "trilogy," working alongside Kaku (書く) for writing code and Waza (技) centered on engineering habits, making technical work not only logically rigorous but also visually appealing. It supports Chinese (Simplified, Traditional), English, Japanese, Korean, German, French, and other languages, with the most complete support for English and Chinese. It can be triggered automatically via natural language requests, with no slash commands needed. Example prompts include: make a one-pager, typeset a long document, write a formal letter, make a portfolio, make a resume, make a set of presentation slides, make a Markdown-style deck, make a product landing page, and more. Users can also optionally create a brand profile to persist their identity, brand, and writing habits. By default, it uses a warm parchment background, ink-blue accents, and serif fonts, and the brand defaults can also be adjusted.

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