LM Studio for Beginners - Run LLMs locally

[OneDDL]

Free Download LM Studio for Beginners - Run LLMs locally
Published 11/2024
Created by Studyopedia Trainings
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 15 Lectures ( 31m ) | Size: 204 MB

Learn how to use LM Studio to download and run LLMs. Also, set the context length, temperature, batch size, etc
What you'll learn
Learn what is LM Studio
Work with different LLMs using LM Studio locally
Learn to set the context-length for an LLM
Learn to set the batch size for an LLM
Learn to set the seed for an LLM
Learn to run LLMs even with less resources
Learn to run LLMs locally on your system
Set the GPU Offload if the model is too large to fit entirely into GPU memory.
Requirements
Knowledge of the internet and web browser
Description
Welcome to the LM Studio Course by Studyopedia!LM Studio is designed for local interaction with large language models (LLMs).LLM stands for Large Language Model. These models are designed to understand, generate, and interpret human language at a high level.FeaturesLocal Model Interaction: Allows users to run and interact with LLMs locally without sending data to external serversUser-Friendly Interface: Provides a GUI for discovering, downloading, and running local LLMs.Model Customization: Offers advanced configurations for CPU threads, temperature, context length, GPU settings, and more.Privacy: Ensures all chat data stays on the local machine.Languages: Thanks to the awesome efforts of the LM Studio community, LM Studio is available in English, Spanish, Japanese, Chinese, German, Norwegian, Turkish, Russian, Korean, Polish, Vietnamese, Czech, Ukrainian, and Portuguese (BR,PT).Popular LLMs, such as Llama by Meta, Mistral, Gemma by Google's DeepMind, Phi by Microsoft, Qwen by Alibaba Clouse, etc., can run locally using LM Studio.In this course, you will learn about LM Studio and how it eases the work of a programmer running LLMs. We have discussed how to begin with LM Studio and install LLMs like Llama, Qwen, etc.Note: Even if your RAM is less than 16GB, you can still work with the smaller models, with LM Studio, such as:Llama 3.2 1BQwen2 Math 1.5BWe have shown the same in this video course.
Who this course is for
Beginner AI Engineers
Prompt Engineers
Those who want to learn what is Llama, Qwen, etc.
Those who want to download any open-source LLM locally
Those who want to run LLMs locally
Those who want to understand LLMs
Beginner Machine Learning Developers
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