LM Studio
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Pricing model
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LM Studio is a software app enabling users to execute large language models (LLMs) on their personal devices without requiring an internet connection, thus providing improved privacy and data security. It accommodates various models like LLaMa, Falcon, MPT, Gemma, and others from Hugging Face repositories. Users can engage with models via an in-app Chat UI or a local server that is OpenAI's API compatible. LM Studio is perfect for individuals aiming to utilize LLMs for personal projects, research, or development while keeping full control of their data. This approach to locally running machine learning models is particularly appealing to those who prioritize privacy or handle sensitive information.
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CoGrader is an AI-driven grading tool designed to assist educators by streamlining the grading process and reducing workload. It offers automatic grading and feedback on assignments, promoting fairness and uniformity. Seamlessly connecting with Google Classroom, CoGrader allows for the import of assignments and the export of reviewed feedback and grades. Additionally, it identifies the use of ChatGPT and provides detailed class analytics.
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Pikr is a productivity application designed to automate the handling of newsletters and integrate knowledge efficiently. It arranges newsletters found in your email, sends AI-created summaries to your Notion workspace, and simplifies the consumption of information. Individuals might opt for Pikr to tidy up their inboxes, save time by rapidly grasping essential details, and effortlessly merge newsletter content into their current knowledge framework. This tool is especially beneficial for professionals and knowledge workers who are subscribed to numerous newsletters and wish to enhance their information management methods.
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RPLY is an AI-driven messaging assistant crafted for Apple's iMessage, designed to keep an eye on your inbox, propose contextual replies, and automatically respond to any unanswered messages. It's tailored for individuals who find it challenging to handle their text message inflow, assisting them in reaching "inbox zero" and diminishing "text debt." By smoothly integrating with the Apple ecosystem, delivering personalized replies, and incorporating features such as filtering for unanswered messages and insights into texting habits, RPLY seeks to optimize digital communication, boost productivity, and alleviate the stress linked to managing message backlogs.