Jesse Clayton

Jesse Clayton is the product manager for mobile embedded at NVIDIA, where he focuses on developing platforms that enable robots and drones to perceive and interact with their environments. With over a decade of experience at NVIDIA, Clayton has made significant contributions in various roles such as developing Linux drivers for professional graphics solutions, leading software development for the company's first HPC products, managing the Software Board Operations organization, and heading DevTech for automotive. Prior to joining NVIDIA, he worked on software development for air traffic management. When not working, Clayton enjoys skiing with his family and running barefoot through the paths and streets of Santa Clara. As a key contributor to NVIDIA's advancements in AI technology, Clayton has been involved in projects that have decoded the AI behind realistic digital humans in video games and demystified AI hardware, software, and tools.

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The Daily's Verdict

This author is known for its high journalistic standards. The author strives to maintain neutrality and transparency in its reporting, and avoids conflicts of interest. The author has a reputation for accuracy and rarely gets contradicted on major discrepancies in its reporting.

Bias

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Conflicts of Interest

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Contradictions

95%

Examples:

  • ChatRTX can now use Google's Gemma, ChatGLM3, and OpenAI's CLIP model.
  • Nvidia is updating ChatRTX to support voice queries using Whisper, an AI speech recognition system.

Deceptions

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Recent Articles

Nvidia's ChatRTX Chatbot Gets an Upgrade: Supports Google Gemma, ChatGLM3, and OpenAI CLIP for Local Data Interaction with Voice Commands

Nvidia's ChatRTX Chatbot Gets an Upgrade: Supports Google Gemma, ChatGLM3, and OpenAI CLIP for Local Data Interaction with Voice Commands

Broke On: Wednesday, 01 May 2024 Nvidia's ChatRTX chatbot now supports Google's Gemma and ChatGLM3 models, OpenAI's CLIP model for image recognition, voice commands with Whisper, and multiple languages for queries and outputs. Users can search local photo data using natural language queries or voice commands, interact with images using words, terms, and phrases with CLIP neural network. The chatbot uses RAG technology, TensorRT-LLM software, and RTX acceleration for quick responses on Windows PC or workstation.