Open-source LLMs: Uncensored & secure AI locally with RAG
Udemy Discount Coupon Code 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
Created by Arnold Oberleiter | 10 hours on-demand video | 11 downloadable resources | 3,884 students | Avg Rating: 4.8 (428 ratings)
What you’ll 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)
- Linking Ollama & Llama 3, and Using Function Calling with Llama 3 & Anything LLM
- 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
- Function Calling for Summarizing Data, Storing, and Creating Charts with Python
- Using Other Features of Anything LLM and External APIs
- Creating a Local RAG Chatbot with Anything LLM & LM Studio
Open-source LLMs: Uncensored & secure AI locally with RAG Course
This Open-source LLMs: Uncensored & secure AI locally with RAG Online Course provides a comprehensive introduction to the world of open-source LLMs. You’ll learn about the differences between open-source and closed-source models and discover why open-source LLMs are an attractive alternative. Topics such as ChatGPT, Llama, and Mistral will be covered in detail. Additionally, you’ll learn about the available LLMs and how to choose the best models for your needs. The course places special emphasis on the disadvantages of closed-source LLMs and the pros and cons of open-source LLMs like Llama3 and Mistral.
Practical Application of Open-Source LLMs
The course guides you through the simplest way to run open-source LLMs locally and what you need for this setup. You will learn about the prerequisites, the installation of LM Studio, and alternative methods for operating LLMs. Furthermore, you will learn how to use open-source models in LM Studio, understand the difference between censored and uncensored LLMs, and explore various use cases. The course also covers finetuning an open-source model with Huggingface or Google Colab and using vision models for image recognition.
Open-source LLMs: Uncensored & secure AI locally with RAG Coupon Code
LangGraph Mastery: Develop LLM Agents with LangGraph Best seller
LLM Engineering: Master AI & Large Language Models (LLMs) Best seller
Who this course is for:
- To everyone who wants to learn something new and dive deep into open-source LLMs with RAG, Function Calling and AI-Agents
- To entrepreneurs who want to become more efficient and save money
- To developers, programmers, and tech enthusiasts
- To anyone who doesn’t want the restrictions of big tech companies and wants to use uncensored AI
