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    LLM Mastery: ChatGPT, Gemini, Claude, Llama, OpenAI & APIs By Arnold Oberleiter

    Arnold Oberleiter

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    Prompt Engineering · Online Course

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    LLM Mastery: ChatGPT, Gemini, Claude, Llama, OpenAI & APIs · Program

    About this program

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

    Online Course

    Learning format

    Prompt Engineering

    Subcategory

    English

    Course language

    $64.99 (list $10.99)

    Price

    Price may change · updated within 1–2 weeks

    Official program page

    What you'll learn in LLM Mastery: ChatGPT, Gemini, Claude, Llama, OpenAI & APIs

    • 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
    • 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

    What's Included in LLM Mastery: ChatGPT, Gemini, Claude, Llama, OpenAI & APIs

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