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