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Lemonado is a business software platform that allows users to access AI-powered data search capabilities without needing to write code. It allows users to ask questions in plain language and get the answers from their data. It also provides features such as copy-paste results to any spreadsheet, sync Google Sheets with Lemonado, invite team members to their workspace, and get data out of protectedData, metadata, and publicData fields.
Zigpoll is a feedback partner offering on-site surveys to help businesses capture insights from their customers. It offers multiple question formats, advanced targeting rules, third party integrations, and a customizable AI assistant to engage customers and gather quality feedback. It also provides an intuitive dashboard to analyze responses, automatic insights, trend detection, and copywriting support.
LongLLaMA is a large language model designed for handling extensive text contexts, capable of processing up to 256,000 tokens. It's based on OpenLLaMA and fine-tuned using the Focused Transformer (FoT) method. The repository offers a smaller 3B base variant of LongLLaMA on an Apache 2.0 license for use in existing implementations. Additionally, it provides code for instruction tuning and FoT continued pretraining. LongLLaMA's key innovation is in its ability to manage contexts significantly longer than its training data, making it useful for tasks that demand extensive context understanding. It includes tools for easy integration into Hugging Face for natural language processing tasks.
Kino AI is an AI assistant for tracking footage metadata and organizing media assets. It provides users with various features, such as inferred metadata, keyword indexing, seamless footage browsing, backup, sync, and organize, AI transcription, metadata labeling, and more. Kino AI automates mundane and essential parts of a workflow to make the editing process more efficient. A private beta is coming soon, and users are invited to join the waitlist to get early access.
URAi is an AI-powered tool that helps users plan their research, collect in-depth feedback, generate reports, transcribe audio and video, search for insights, collaborate with team members, and create a knowledge library. It enables users to quickly gather feedback in scale, uncover more insights with smart follow-ups, generate actionable reports in real-time, and store and search for insights in their knowledge library.