Learning plan cover

large language models

LEARNING PLAN

large language models

As AI reshapes industries, understanding the mechanics of large language models is essential for developers and researchers. This plan bridges the gap between theoretical mathematics and practical deployment, making it ideal for those looking to build responsible and powerful AI systems.

ByCommunity User
1 h 57 m
10 coursesUpdated 4 hours ago
Artificial IntelligenceAll About LLMs: The AI Revolution ExplainedWhat Is ChatGPT Doing ... and Why Does It Work?10 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed’s proprietary AI to help you learn large language models with ease. It is curated from in-depth research on the topic and structured around the most effective learning journeys proven by BeFreed users.

Each episode delivers bite-sized, high-impact lessons distilled from world-class sources — bestselling books, research papers, and expert insights. Together, they form a sophisticated yet accessible path to mastering large language models.

What You'll Learn

  • Grasp the core principles of AI and machine learning fundamentals
  • Master transformer architectures and complex attention mechanisms
  • Apply mathematical frameworks that power modern language modeling
  • Build, fine-tune, and deploy custom LLMs from scratch
  • Navigate AI ethics, safety protocols, and societal impact

Build your understanding of AI and machine learning basics, then dive into how large language models actually work under the hood.

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Artificial Intelligence

A captivating exploration of AI's potential and limitations, demystifying the hype and addressing crucial questions about machine intelligence.

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Guide to Large Language Models (LLMs): Capabilities and ApplicationsA Survey of Large Language Models: Evolution, Architectures, Adaptation, Benchmarking, Applications, Challenges, and Societal ImplicationsLarge language models: an overview of foundational architectures, recent trends, and a new taxonomysource 4
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All About LLMs: The AI Revolution Explained

Lena and Eli break down everything about Large Language Models - from how ChatGPT predicts words to transformer architecture, real-world applications, and why understanding LLMs is essential for the future.

10 m

Master the transformer architecture, attention mechanisms, and mathematical principles that power modern LLMs.

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What Is ChatGPT Doing ... and Why Does It Work?

In-depth analysis of ChatGPT's AI mechanisms and effectiveness

9 m
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source 1source 2source 3source 4
6 sources
LLM Fundamentals: Attention Is All You Need

Deep dive into how ChatGPT and large language models actually work, from the revolutionary attention mechanism to probabilistic text generation. Perfect for understanding the core concepts behind modern AI.

9 m
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Understanding LLMs: A Comprehensive Overview from Training to InferenceMathematical Foundations of Large Language Models - MediumTransformer Architecture Explained With Self-Attention MechanismLLM Transformer Model Visually Explained
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The Mathematical Magic Behind Large Language Models

Explore how LLMs transform raw text into intelligent responses through tokenization, transformer architecture, and neural networks. From training on massive datasets to generating coherent output.

10 m

Learn hands-on techniques for building, training, and fine-tuning large language models from scratch to deployment.

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Under the Hood: The Life Cycle of LLMs

Explore the evolution of Large Language Models from raw pre-training to human-aligned tools. This deep dive covers transformer architecture, fine-tuning, and the ethical governance required for production-ready AI.

14 m

Navigate the critical challenges of AI alignment, bias, and responsible deployment while understanding LLMs' societal implications.

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The Alignment Problem

A riveting exploration of AI's ethical challenges and the quest to align machine learning with human values.

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Human Compatible

A leading AI researcher proposes a groundbreaking approach to ensure AI systems align with human values and preferences.

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AI explanations: Why accuracy isn't enough anymore

When AI models make biased or opaque decisions, businesses face massive risks. Learn how explainable AI builds trust by showing how models work.

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