LLM Mastery: Hands-on Code, Align and Master LLMs

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LLM Mastery: Hands-on Code, Align and Master LLMs
LLM Mastery Hands on Code Align and Master LLMs

Code LLMs and alignment from scratch with Python and PyTorch. And explore generative AI and deep learning using Origami

Product Brand: Udemy

Editor's Rating:
5

Udemy Coupon Code for LLM Mastery: Hands-on Code, Align and Master LLMs Course. Code LLMs and alignment from scratch with Python and PyTorch. And explore generative AI and deep learning using Origami

Created by Javier Ideami | 15.5 hours on-demand video course

LLM Mastery Course Overview

LLM Mastery: Hands-on Code, Align and Master LLMs

Dive into the most exhilarating and hands-on LLM course you’ll ever experience! This isn’t just learning—it’s an adventure that will transform you from an AI enthusiast into a creator at the bleeding edge of technology. AI expert Javier Ideami, the creator of one of the most successful AI related courses on Udemy, brings you a totally unique new experience around LLM technology.

What you’ll learn

  • Code and train an LLM from scratch, line by line, understanding every concept in detail
  • Understand and analyze in depth an advanced LLM architecture based on the Llama system
  • Code and train an alignment process from scratch, to align an LLM with a preferred form of interaction
  • Understand in great depth key concepts like the Attention Mechanisms, the Cross Entropy Loss, the way neural networks learn and many more
  • Explore in depth insights about deep learning and neural networks through the use of Origami
  • In addition to the coding, every section includes in-depth explanations of key concepts related to these architectures and generative AI

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This LLM Mastery: ChatGPT, Gemini, Claude, Llama3, OpenAI & APIs Course is perfect for developers, data scientists, AI enthusiasts, and anyone who wants to be at the forefront of LLM technology. Whether you want to understand neural networks, fine-tune AI models, or develop AI-driven applications, this course offers everything you need.

Open-source LLMs: Uncensored & secure AI locally with RAG Course

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Created by Arnold Oberleiter | 9.5 hours on-demand video course
Private ChatGPT Alternatives: Llama3, Mistral a. more with Function Calling, RAG, Vector Databases, LangChain, AI-Agents

This Open-source LLMs: Uncensored & secure AI locally with RAG course provides a comprehensive introduction to the world of open-source LLMs. You’ll learn about the differences between open-source and closed-source models and discover why open-source LLMs are an attractive alternative. Topics such as ChatGPT, Llama, and Mistral will be covered in detail. Additionally, you’ll learn about the available LLMs and how to choose the best models for your needs. The course places special emphasis on the disadvantages of closed-source LLMs and the pros and cons of open-source LLMs like Llama3 and Mistral.

Who this course is for:

  • AI Enthusiasts and Developers: Individuals with a passion for artificial intelligence and a basic knowledge of Python who want to dive deep into the world of LLMs and generative AI.
  • Tech Innovators and Creators: Aspiring AI developers who wish to be at the cutting edge of technology, learning to build and understand complex AI systems from the ground up.
  • Students and Professionals in AI: Those studying or working in AI-related fields who seek to enhance their practical skills and theoretical understanding of LLMs and deep learning.
  • Curious Minds with Creative Flair: Learners interested in a unique blend of technology and art, who are eager to explore deep learning concepts through innovative methods like origami.
  • Software engineers: interested in understanding and coding LLMs as well as implementing AI alignment techniques with LLMs
  • General: People that are curious about how LLMs work and want to understand them in great depth
  • General: People that want to stretch their generative AI experience using Python and Pytorch to program LLMs and alignment processes
  • General: People that want to know all the key parts of how ChatGPT, Gemini or Claude work internally, in order to get inspired about new ways of applying this technology
  • General: Those that want a deep introduction to Generative AI, deep learning and neural networks
  • General: Those that want to deeply understand how neural networks learn in a fun way and unique way through Origami

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Taught by Javier Ideami

Josh Smith
Josh Smith

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