Nvidia Launches AI Chatbot to Engage with Files on Your Windows PC

Users can initiate conversations with the chatbot, posing questions and extracting insights from the wealth of information stored locally on their computers.

Introduction:


Millions of individuals worldwide utilize chatbots daily, relying on NVIDIA GPU-driven cloud servers for their functionality. Now, these innovative tools are making their way to Windows PCs equipped with NVIDIA RTX, offering localized, swift, and customizable generative AI capabilities with “Chat with RTX”

In a monumental leap forward for personalized AI interaction, Nvidia has unveiled “Chat with RTX,” a groundbreaking technology demo that empowers users to engage with their locally stored data like never before. This innovative software harnesses the power of open-source AI large-language models, such as Mistral and Meta Platforms’ Llama 2, to create a seamless interface between users and their files and documents.

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A New Era of Personalization: Chat with RTX


With “Chat with RTX,” Nvidia introduces a paradigm shift in the way users interact with their data. Unlike traditional chatbots that rely on cloud-based processing, this cutting-edge solution operates locally on Windows RTX PCs and workstations. By keeping data processing confined to the user’s device, Nvidia ensures unparalleled privacy and security, addressing growing concerns surrounding data protection in the digital age.

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Seamless Integration:Chat with RTX


One of the defining features of “Chat with RTX” is its effortless integration with users’ existing files and documents. Upon installation, users simply point the software to a designated folder containing .txt, .pdf, and Microsoft Word files. From there, they can initiate conversations with the chatbot. You can start posing questions and extracting insights from the wealth of information stored locally on their computers.

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Empowering User Inquiry:Chat with RTX


“Chat with RTX” opens up a world of possibilities for user inquiry and exploration. Whether seeking specific information buried within lengthy documents or conducting comprehensive analyses across multiple files, users can leverage the AI capabilities of the chatbot to streamline their workflow and unearth valuable insights with ease.

Real-World Applications:


The potential applications of “Chat with RTX” are virtually limitless. From students conducting research to professionals analyzing business documents, the software caters to a diverse range of users seeking to extract knowledge and make informed decisions based on their local data. Whether for personal organization or professional endeavors, “Chat with RTX” offers a versatile and user-friendly solution for data interaction.

Chat with RTX supports various file formats, including text, pdf, doc/docx, and xml. Simply point the application at the folder containing your files and it’ll load them into the library in a matter of seconds.

Additionally, you can provide the url of a YouTube playlist and the app will load the transcriptions of the videos in the playlist, enabling you to query the content they cover.

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For Developers:

The Chat with RTX tech demo is built from the TensorRT-LLM RAG developer reference project available from GitHub. Developers can use that reference to develop and deploy their own RAG-based applications for RTX, accelerated by TensorRT-LLM.

Performance and Optimization:


“Chat with RTX” on an Nvidia RTX 4090 GPU yielded impressive results. Not only did the chatbot deliver rapid responses to user queries, but its accuracy and reliability were also consistently high. While the current version of the software excels in handling informational queries, Nvidia acknowledges the potential for further optimization and enhancement to address more complex reasoning tasks in future iterations.

System Requirements and Availability:


To experience the transformative capabilities of “Chat with RTX,” users will need a Windows 10 or Windows 11 operating system, along with an Nvidia GeForce RTX 30 Series GPU or 40 Series GPU boasting a minimum of 8 gigabytes of video memory. Nvidia recommends the GeForce RTX 4060 card, starting at $299, to ensure optimal performance. The size of the software download varies between 50 and 100 gigabytes, depending on the selected AI model.

Download the app here

Conclusion:


With the release of “Chat with RTX,” Nvidia ushers in a new era of personalized AI interaction. This empowers users to engage with their local data in unprecedented ways. By prioritizing privacy, performance, and user experience, Nvidia reaffirms its commitment to delivering cutting-edge solutions that redefine the boundaries of technology.

Kumar Priyadarshi
Kumar Priyadarshi

Kumar Joined IISER Pune after qualifying IIT-JEE in 2012. In his 5th year, he travelled to Singapore for his master’s thesis which yielded a Research Paper in ACS Nano. Kumar Joined Global Foundries as a process Engineer in Singapore working at 40 nm Process node. Working as a scientist at IIT Bombay as Senior Scientist, Kumar Led the team which built India’s 1st Memory Chip with Semiconductor Lab (SCL).

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