If you don’t run AI locally you’re falling behind…
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Running LLMs Locally: A Beginner's Guide using Ollama and LM Studio
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This guide details setting up Ollama to download and serve models, explains the role of quantization, and introduces LM Studio for a superior user experience. Learn crucial steps for managing model storage and exposing your local AI via an API server for integration with other applications.
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Top Comments (10)
Next video: If you run AI locally you’re running it slow and falling behind
Running models locally feels like the new “build your own PC” moment for AI.
More Videos on Local LLMs! Keep sharing your Wisdom bro! one love
running it locally on a docker vm is the sauce
More Local LLMS please.
💼 Learn about the best AI Business models here - https://www.youtube.com/watch?v=Ta5g-OxjPO4
Brooo totally MAKE MORE VIDS about these local LLMS!
Your enthusiasm is infectious! Thank you for the great video. Subscribing
this stuff indeed moves fast, now 5 days after this video we already have kimi k2 at the very top of large models
This reminds me of the old run your own server as if it’s anywhere near the same performance standard computer. 😂
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Top Comments (10)
Next video: If you run AI locally you’re running it slow and falling behind
Running models locally feels like the new “build your own PC” moment for AI.
More Videos on Local LLMs! Keep sharing your Wisdom bro! one love
running it locally on a docker vm is the sauce
More Local LLMS please.
💼 Learn about the best AI Business models here - https://www.youtube.com/watch?v=Ta5g-OxjPO4
Brooo totally MAKE MORE VIDS about these local LLMS!
Your enthusiasm is infectious! Thank you for the great video. Subscribing
this stuff indeed moves fast, now 5 days after this video we already have kimi k2 at the very top of large models
This reminds me of the old run your own server as if it’s anywhere near the same performance standard computer. 😂