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    Arnold Oberleiter
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    Reseña del curso LLM Mastery: ChatGPT, Gemini, Claude, Llama, OpenAI & APIs de Arnold Oberleiter

    Opiniones de la comunidad

    Basics to AI-Agents: OpenAI API, Gemini API, Open-source LLMs, GPT-5, RAG, LangChain Apps, Colab and Prompt Engineering

    Formato de aprendizaje Online Course
    Subcategoría Prompt Engineering

    Precio del curso $64.99 (list $10.99)

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    Basado en: 0 reseñas

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    ¿El curso de Arnold Oberleiter es legítimo?

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    Sobre Arnold Oberleiter

    Basics to AI-Agents: OpenAI API, Gemini API, Open-source LLMs, GPT-5, RAG, LangChain Apps, Colab and Prompt Engineering

    ¿Quién es Arnold Oberleiter?

    No hay biografía disponible.

    Sector

    AI

    Total de estudiantes

    0+ reseñas

    Sitio web oficial

    https://www.udemy.com/course/all-of-ai-chatgpt-midjourney-stable-diffusion-app-dev/

    Experiencia

    Idioma del curso

    English

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    Ubicado en

    ¿Qué se aprende en el curso de Arnold Oberleiter?

    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

    ¿Qué incluye este curso?

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