RITS

Tag: Hardware

  • Luma Labs AI Launch

    Exciting look at my plant 🪴 https://captures.lumalabs.ai/luckier-fair-ir-332977

  • NVIDIA Picasso

    Key points A link to NVIDIA’s Picasso platform was shared and was described as ‘pretty amazing’ by a user. A link to NVIDIA’s Picasso platform was shared, described as ‘pretty amazing’ by a user.

  • LLAMA Model Availability

    Key points LLAMA can now be run locally using quantization techniques, compressing the 9B parameter model to 4 bits. LLAMA can now be run locally using quantization techniques, compressing the 9B parameter model to 4 bits.

  • OpenChatKit Released as Open Source ChatGPT Alternative

    Key points Together released OpenChatKit, which the post describes as the first open-source ChatGPT alternative. It requires a system with a minimum of 80G VRAM, and a public demo is available on Hugging Face Spaces. Together releases the first open-source ChatGPT alternative called OpenChatKit. It requires a system with minimum 80G VRAM, but can be […]

  • Cost of Running Large Language Models

    Key points The post states that running large language models is significantly more expensive than ChatGPT, costing 10x to 30x more. It is significantly more expensive to run large language models compared to ChatGPT, costing 10x to 30x more.

  • Alpaca Model Release

    Key points The Alpaca model was released by Stanford. It is available on GitHub and on a website demonstrating its capabilities. Release of the Alpaca model by Stanford, available on GitHub and a website demonstrating its capabilities.

  • Llama.cpp on M1 Apple Chips

    Key points The post is a discussion about running Llama.cpp on M1 Apple chips, which it says indicates potential new hardware upgrades. Discussion about running Llama.cpp on M1 Apple chips, indicating potential new hardware upgrades.

  • Stable Diffusion is now available on iOS

    Key points Stable Diffusion is now available on iOS, and the post provides a link to download the application from the App Store. Stable Diffusion is now available on iOS. You can download the application here: https://apps.apple.com/cn/app/draw-things-ai-generation/id6444050820?l=en