LLM Mastery: ChatGPT, Gemini, Claude, Llama3, OpenAI & APIs

$0.99
Instructor:
Arnold Oberleiter
Category:

Have you ever thought about how Large Language Models (LLMs) are transforming the world and creating unprecedented opportunities?

” AI won’t take your job, but someone who knows how to use AI might ,” says Richard Baldwin.

Are you ready to master the intricacies of LLMs and leverage their full potential for various applications, from data analysis to the creation of chatbots and AI agents ?

 

What you’ll learn
  • Functionality of LLMs: Parameters, Weights, Inference, and Neural Networks
  • Understanding Neural Networks
  • Operation of Neural Networks with Tokens in LLMs
  • Transformer Architecture and Mixture of Experts
  • Fine-Tuning and the Creation of the Assistant Model
  • Reinforcement Learning (RLHF) in LLMs
  • LLM Scaling Laws: GPU & Data for Improvements
  • Capabilities and Future Developments of LLMs
  • Use of Tools by LLMs: Calculator, Python Libraries, and More
  • Multimodality and Visual Processing with LLMs
  • Multimodality in Language as in the Movie ‘Her’
  • Systems Thinking and Future Prospects for LLMs
  • Self-Improvement after AlphaGo (Self-Improvement)
  • Improvement Possibilities: Prompts, RAG, and Customization
  • Prompt Engineering: Effective Use of LLMs with Chain of Thought and Tree of Thoughts Prompting & More
  • Adaptation of LLMs through System Prompts and Personalization with ChatGPT Memory
  • Long-Term Memory with RAG and GPTs
  • The GPT Store: Everything You Need to Know
  • Using GPTs for Data Analysis, PDFs, or Tetris Programming
  • Embeddings and Vector Databases for RAG
  • Integrating Zapier Actions in GPTs
  • Open-Source vs. Closed-Source LLMs
  • API Basics
  • Usage of the Google Gemini API and Claude API
  • Microsoft Copilot and Its Use in Microsoft 365
  • GitHub Copilot: The Solution for Programmers
  • The OpenAI API: Features, Pricing Models, and Everything You Need to Know About the OpenAI API Including App Creation
  • Introduction to Google Colab for API Calls to OpenAI
  • Creation of AI Apps and Chatbots with Langchain, Flowise, Vectorshift, LangGraph, CrewAI, Autogen, Langflow & more
  • Creation of AI Agents for Various Tasks like Social Media Contetn with Agency Swarm and Langchain Agents
  • Security in LLMs: Jailbreaks and Prompt Injections & more
  • Comparison of the Best LLMs
  • Google Gemini in Standard Interface and Google Labs with NotebookLM
  • Claude by Anthropic: Overview
  • Everything About Perplexity and POE
  • OpenAI Playground: Features, Billing Account & Temperature of LLMs
  • Google Gemini API: Video Analysis and More
  • Open-Source LLMs: Models and Use of Llama 3, Mixtral, Command R+, and Many More
  • HuggingChat: Interface for Open-Source LLMs
  • Running Local LLMs with Ollama and Building Local Rag Chatbots
  • Groq: Fastest Interface with LPU
  • Installation of LM Studio for Using Local Open-Source like Llama3 LLMs for Maximum Security
  • Using Open-Source Models in LM Studio and Censored vs. Uncensored LLMs
  • Fine-Tuning an Open-Source Model with Huggingface
  • Creating Your Own Apps via APIs in Google Colab with Dall-E, Whisper, GPT-4o, Vision, and More
  • Microsoft Autogen for AI Agents
  • CrewAI for AI Agents
  • Flowise with LangChain Function Calling
  • OpenAI Assistant API with function Calling for AI-Agents in different Frameworks
  • Flowise with Open-Source LLM as ChatBot
  • Security in LLMs and Methods to Hack LLMs
  • Future of LLMs as Operating Systems in Robots and PCs
Course content
15

15 sections • 163 lectures • Total duration 19 h 54 min

Introduction and Overview
How LLMs Work: Parameters, Weights, Inference, Neural Networks & More
Additional Capabilities of LLMs & Future Developments
Prompt Engineering: Effective Use of LLMs in the Standard Interface
LLM Customization: System Prompts, Memory, RAG & Creating Expert Models or GPTs
Closed-Source LLMs: An Overview of Available Models and how to use them
Closed-Source LLMs APIs
Open-Source LLMs: Available Models and Their Use in the Claude & Locally
First Steps to Creating Your Own Apps via APIs in Google Colab
Apps, Chatbots, and AI Agents: Build cool Stuff for Automation and FUN
LLM Security: Copyrights, Rights, Jailbreaks, and Prompt Injections
Comparison Test: What Is the Best LLM?
Finetuning LLMs: OpenAI API and Google Colab
OPTIONAL SECTION: Chrome Extensions for ChatGPT & LLMs
The Future: LLMs as Operating Systems in Robots & PCs: What Comes Next?