Running on Macbook M1 pro (16GB RAM) using @ollama and @LMStudioAI
. If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.
HARDWARE
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Running LLMs locally on M1 Mac with Ollama and LM Studio
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OpenAI Apple partnership rumor phone integrated AI assistant
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Putting together rumours: I wonder if OpenAI's announcement tomorrow is a partnership with Apple for a phone-integrated assistant. The assistant can take calls for you, and escalate them when it's relevant. Maybe it's even a device-local model, as recently being tested on lmsys.
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IIoT Devices Transform Industrial Settings: Free Panel Discussion
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Join us for a panel discussion focused on #IIoT devices and their transformative potential in industrial settings. Register at no cost by May 15: https://
buff.ly/49lF0dW #sponsored #omron_iiot #IIoTWorldDay #industry40 #manufacturing @IIoT_World @FogorosAndrei via @fogoros -
Model Scaling Outpaces Hardware in AI Competition
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Whatever that scales faster wins the wars. I would say models do scale faster than HW – but of course both trends actually supplement each other.
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Motion Simulators Set to Transform Gaming Experience
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These motion #simulators are gonna change your #game! @anand_narang @GlenGilmore @LavaletteAstrid @FrRonconi @CurieuxExplorer @JolaBurnett @fogle_shane @mclynd @JuergenKob @Victoryabro @RagusoSergio @Khulood_Almani @SiddharthKS @SabineVdL @JoannMoretti
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Running LLMs on MacBook M1 Pro with Ollama
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Running on Macbook M1 pro (16GB RAM) using the @ollama
. If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials. -
Groq Partners with Tierpoint for High-Speed LLM Inference
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With @tierpoint
's data center in WA, we are able to securely support our high-speed LPU Inference Engine and its ability to process large language models, while also being positioned to swiftly adapt to constantly changing computational and customer needs. -
Smaller Models and Bigger GPUs Reshape AI Hardware Future
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Yep, but models will get smaller and GPUs bigger esp now that AI is so popular I think
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Client-Side AI Execution: GPU and Model Size Constraints
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Essentially there's nothing you can NOT run client-side now The only limit is GPU size and model size to download