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Chat20th March 2024
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Chat with RTX Pricing, Features And Alternatives

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Build a Custom LLM with ChatRTX | NVIDIA
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Overview Description Pricing Pros & Cons Alternatives
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Build a Custom LLM with ChatRTX | NVIDIA: Meet Chat with RTX, the NVIDIA demo app that lets you build your own unique AI chatbot. Simply connect your personal data sources, like documents, notes, or video transcripts, and watch as the tool utilizes advanced technologies like retrieval-augmented generation (RAG), TensorRT-LLM, and RTX acceleration to provide fast and relevant responses from your custom bot. Running locally on Windows RTX PCs or workstations, Chat with RTX offers both speed and security. Whether you want to boost productivity, have easier access to information, or seamlessly integrate a personalized conversational AI into your workflow without relying on the cloud, Chat with RTX has got you covered.

Chat with RTX Use Cases - Ai Tools

A demo app that lets you personalize a GPT large language model (LLM) chatbot connected to your own content—docs, notes, videos, or other data.

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Chat with RTX Cost

Chat with RTX Pricing

Free: This software is completely free to use. There are no hidden costs or fees associated with it. You can access all of its features without having to pay anything. Simply visit the software's website and start using it today.

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Chat with RTX was manually vetted by our editorial team and was first featured on 20th March 2024
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Pros and Cons

Pros

– Customizable AI chatbot
– Personalized responses from own data sources
– Utilizes advanced technologies (RAG, TensorRT-LLM, RTX)
– Fast and relevant responses
– Can run locally on Windows RTX PCs/workstations
– Offers speed and security
– Boosts productivity
– Easier access to information
– Seamlessly integrates into workflow
– No reliance on the cloud

Cons

– Limited to Windows RTX PCs/workstations
– Limited to personal data sources for chatbot
– Requires technical knowledge to set up and connect data sources
– Limited use cases, primarily focused on productivity and information access
– May not be useful for those who are not familiar with AI technology
– No option to run on cloud, limiting scalability
– Limited number of advanced technologies utilized, focused primarily on RAG and TensorRT-LLM
– Limited customization options for the chatbot’s responses
– May not be suitable for businesses with complex workflows and needs.