Open-source LLMs: Uncensored & secure AI locally with RAG

Private ChatGPT Alternatives: Llama3, Mistral a. more with Function Calling, RAG, Vector Databases, LangChain, AI-Agents
4.73 (1184 reviews)
Udemy
platform
English
language
Data Science
category
Arnold Oberleiter
instructor
Open-source LLMs: Uncensored & secure AI locally with RAG
10,523
students
10 hours
content
Mar 2025
last update
$119.99
regular price

What you will learn

Why Open-Source LLMs? Differences, Advantages, and Disadvantages of Open-Source and Closed-Source LLMs

What are LLMs like ChatGPT, Llama, Mistral, Phi3, Qwen2-72B-Instruct, Grok, Gemma, etc.

Which LLMs are available and what should I use? Finding "The Best LLMs"

Requirements for Using Open-Source LLMs Locally

Installation and Usage of LM Studio, Anything LLM, Ollama, and Alternative Methods for Operating LLMs

Censored vs. Uncensored LLMs

Finetuning an Open-Source Model with Huggingface or Google Colab

Vision (Image Recognition) with Open-Source LLMs: Llama3, Llava & Phi3 Vision

Hardware Details: GPU Offload, CPU, RAM, and VRAM

All About HuggingChat: An Interface for Using Open-Source LLMs

System Prompts in Prompt Engineering + Function Calling

Prompt Engineering Basics: Semantic Association, Structured & Role Prompts

Groq: Using Open-Source LLMs with a Fast LPU Chip Instead of a GPU

Vector Databases, Embedding Models & Retrieval-Augmented Generation (RAG)

Creating a Local RAG Chatbot with Anything LLM & LM Studio

Linking Ollama & Llama 3, and Using Function Calling with Llama 3 & Anything LLM

Function Calling for Summarizing Data, Storing, and Creating Charts with Python

Using Other Features of Anything LLM and External APIs

Tips for Better RAG Apps with Firecrawl for Website Data, More Efficient RAG with LlamaIndex & LlamaParse for PDFs and CSVs

Definition and Available Tools for AI Agents, Installation and Usage of Flowise Locally with Node (Easier Than Langchain and LangGraph)

Creating an AI Agent that Generates Python Code and Documentation, and Using AI Agents with Function Calling, Internet Access, and Three Experts

Hosting and Usage: Which AI Agent Should You Build and External Hosting, Text-to-Speech (TTS) with Google Colab

Finetuning Open-Source LLMs with Google Colab (Alpaca + Llama-3 8b, Unsloth)

Renting GPUs with Runpod or Massed Compute

Security Aspects: Jailbreaks and Security Risks from Attacks on LLMs with Jailbreaks, Prompt Injections, and Data Poisoning

Data Privacy and Security of Your Data, as well as Policies for Commercial Use and Selling Generated Content

Screenshots

Open-source LLMs: Uncensored & secure AI locally with RAG - Screenshot_01Open-source LLMs: Uncensored & secure AI locally with RAG - Screenshot_02Open-source LLMs: Uncensored & secure AI locally with RAG - Screenshot_03Open-source LLMs: Uncensored & secure AI locally with RAG - Screenshot_04
6047215
udemy ID
6/28/2024
course created date
7/15/2024
course indexed date
Bot
course submited by