Private LLM
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What is Private LLM?
An AI Chatbot for iOS and macOS that operates without an internet connection.
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41.3%Private LLM Product Overview
Private LLM is an AI-driven chatbot designed to make your life easier, more creative, and secure. It operates entirely offline and on-device on all of your compatible devices running iOS, iPadOS, or macOS. With a one-time purchase and no subscriptions, you gain access to a chatbot that does not connect to the internet. All your conversations with Private LLM remain within the app, on your own devices, and completely confidential.
Private LLM Highlights
- Private LLM is a private AI assistant for iPhone, iPad, and macOS.
- It operates entirely offline and on-device.
- All conversations with Private LLM remain within the app, on your own devices, and completely confidential.
- It is designed to make your life easier, more creative, and secure.
- It offers offline functionality.
- It is available for a one-time purchase with no subscriptions.
Private LLM Features
- AI-Driven Chatbot: Private LLM leverages AI to perform comprehensive tasks.
- Offline Functionality: The platform operates without the need for an internet connection.
- Confidentiality: All your conversations with Private LLM remain within the app, on your own devices.
- One-Time Purchase: With a one-time purchase and no subscriptions, you gain access to the chatbot.
Private LLM Use Cases
- AI Assistant: Private LLM can be used as a private AI assistant for iPhone, iPad, and macOS.
- Offline Functionality: Stay productive on the go with Private LLM's offline functionality.
- Confidential Conversations: Have a friendly banter with Private LLM at any time.
Private LLM Pricing Model & Details
Private LLM is available for a one-time purchase of $9.99.
Top Private LLM Alternatives
Here are some alternative AI tools to Private LLM:
- Gemini by Google
- Grok by X (formerly Twitter)
- Jurassic-2 by AI21
- Claude by Anthropic
- ERNIE 3.5 by Baidu
- DGX AI by Nvidia
- LLaMA by Meta
- Tongyi Qianwen by Alibaba
Please note that the suitability of these alternatives would depend on the specific requirements and use cases.