In today's episode of AI Unchained we dive into a plethora of new developments in Ai tailored hardware, the scope of what leaps in performance and capacity we may see in the next year, what it means for open source, how to access your local run Ai from anywhere with the Pear Stack, and yet another major tool in generative Ai that will take story telling to a new level? Join Guy Swan as he unpacks the latest and their profound implications for both developers and users alike.

Links to check out

Nvidia A100 chip (Link: https://tinyurl.com/w2sw7ypr)
Nvidia H100 chip (Link: https://tinyurl.com/bdznducy)
AMD's MI 300X (Link: https://tinyurl.com/5ay5vm48)
Google Axion Processors/Arm-based CPUs (Link: https://tinyurl.com/jd7chher)
IBM's AI chips (Link: https://tinyurl.com/y8kjyk8p)
Apple's AI integration in iOS (Link: https://tinyurl.com/4k8dz7u9)
Panochio tool for web generation (Link: https://pinokio.computer/)
Pinokio application for local hosting of AI tools⁠ (Link: https://docs.pinokio.computer/download/)
LM Studio AI model management (Link: https://lmstudio.ai/)
Keet chat app and the Pear protocol (Link: https://keet.io/)
Mixtral 22B and other models from Hugging Face (Link: https://tinyurl.com/mv67p2uy)
LLM Studio for managing large language models (Link: https://tinyurl.com/3fbactk2)
TorchTune documentation (Link: https://pytorch.org/torchtune/main/)
Mistral AI (Link: https://tinyurl.com/33zjuy9z)
GitHub SWE-agent (Link: https://tinyurl.com/3hjwnv5d)
Holesail (Link: https://holesail.io/)
Tom Davenport on X (Link: https://tinyurl.com/438r9z69)
UdioAI (https://udioai.ai/)

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