Artificial Intelligence & ChatGPT Prompts

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Sure! Here’s the revised version with the requested changes: AI Engineer Roadmap 🤖 1. Python Foundations • Learn: Syntax, loops, data structures, OOP, Git 2. Maths Statistics for AI • Focus on: Linear algebra, probability, calculus, distributions 3. Machine Learning Algorithms • Topics: Regression, classification, clustering, SVMs, model evaluation 4. Deep Learning Foundations • Learn: Neural networks, CNNs, RNNs, regularization, optimizers 5. Natural Language Processing (NLP) • Key Areas: Tokenization, embeddings, attention, sequence models 6. Transformers LLM Architectures • Cover: Self-attention, encoder-decoder models, BERT, GPT, T5 7. Fine-Tuning Custom Model Training • Techniques for: GPT, BERT, custom LLMs 8. LangChain Framework • Build: LLM pipelines, tools, retrieval systems 9. LangGraph RAG Systems • Concepts: Graph-based reasoning, orchestration, retrieval workflows 10. MCP Agentic AI Systems • Create: Autonomous agents, multi-component systems, automation Double Tap ❤️ For More

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