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
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)
- 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
0 Response to "Open-source LLMs: Uncensored & secure AI locally with RAG"
Post a Comment