Learning plan cover

Neural Networks and LLM

LEARNING PLAN

Neural Networks and LLM

This learning plan is essential for developers and data scientists looking to transition from basic machine learning to state-of-the-art generative AI. It bridges the gap between theoretical mathematics and practical implementation, making it ideal for those who want to build or fine-tune their own large language models.

ByCommunity User
4 h 30 m
10 coursesUpdated 83 days ago
Make your own neural networkNeural Networks: From Brain Biology to AI RevolutionHands-on Machine Learning With Scikit-learn And Tensorflow10 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed's proprietary AI to help you learn Neural Networks and LLM 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 Neural Networks and LLM.

What You'll Learn

  • Build a strong mathematical foundation for neurons and learning algorithms
  • Implement deep learning architectures using modern software frameworks
  • Master transformer mechanics and the attention systems powering GPT models
  • Develop hands-on skills for training and deploying neural networks
  • Analyze multimodal AI systems and emerging trends in the language model field

Build a solid mathematical foundation and understand how neural networks work from the ground up, including the core concepts of neurons, layers, and learning algorithms.

Make your own neural network cover
Make your own neural network

Step-by-step guide to building neural networks for beginners.

8 m
podcast cover
source 1Fundamentals of Artificial Neural Networks and Deep LearningNeural Networks and Deep Learning: A Comprehensive Introductionsource 4
6 sources
Neural Networks: From Brain Biology to AI Revolution

Discover how artificial neural networks mimic human brains to power everything from face recognition to self-driving cars. Learn the elegant math behind machine intelligence and explore real-world applications transforming our daily lives.

11 m

Master the theory and practice of deep learning with hands-on experience building neural networks using modern frameworks and understanding advanced architectures.

Hands-on Machine Learning With Scikit-learn And Tensorflow cover
Hands-on Machine Learning With Scikit-learn And Tensorflow

Step-by-step guide to machine learning with Python

8 m
podcast cover
Make Your Own Neural NetworkHands-On Machine Learning with Scikit-Learn and TensorFlowPython CookbookChatGPT For Dummies
8 sources
Deep Learning: From Bicycles to Rocket Ships

Explore the evolution of neural networks from their 1965 origins through the AI winter to today's revolution, as we unpack how these brain-inspired systems are transforming technology across industries.

17 m
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Make Your Own Neural NetworkHands-On Machine Learning with Scikit-Learn and TensorFlowKeras Reinforcement Learning ProjectsPython Cookbook
20 sources
Memory Flow: Inside RNNs

Explore how Recurrent Neural Networks maintain memory across sequences through their unique hidden state mechanism, enabling them to process sequential data in ways traditional neural networks cannot.

26 m

Understand the revolutionary transformer architecture and attention mechanisms that power modern LLMs like GPT and BERT, from mathematical foundations to real-world applications.

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

Explore advanced architectures, multimodal AI systems, and emerging trends that are shaping the future of neural networks and language models.

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Kimi-Linear : An Expressive, Efficient Attention ArchitectureAI Just Broke the Million-Token Barrier: How Kimi Linear's 6.3Kimi Linear: An Expressive, Efficient Attention Architecture | alphaXivKimi-Linear : Bye Bye Transformers | by Mehul Gupta - Medium
6 sources
Kimi Linear: The AI Architecture Revolution

Discover how Kimi Linear's breakthrough architecture processes million-token contexts 6.3x faster while using 75% less memory, potentially ending the era of traditional Transformers through intelligent forgetting and hybrid attention mechanisms.

7 m
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[2502.13923] Qwen2.5-VL Technical Report - arXiv[PDF] Qwen-VL: A Versatile Vision-Language Model for Understanding ...Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL! | QwenQwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution | AI Research Paper Details
6 sources
Qwen2.5-VL: Revolutionary Vision-Language AI Breakthrough

Dive deep into cutting-edge AI that processes any resolution images, understands hour-long videos, and operates computers by sight. This isn't just another model update-it's the future of multimodal intelligence unfolding now!

29 m
AI Snake Oil cover
AI Snake Oil

Critical analysis of AI hype and reality

9 m

Discover more

Transformers

Transformers

LEARNING PLAN

Transformers

This learning plan is essential for developers and tech enthusiasts looking to master the technology driving the current AI boom. It bridges the gap between theoretical neural networks and practical implementation of state-of-the-art Large Language Models.

5 h 54 m5 Sections
Nlp

Nlp

LEARNING PLAN

Nlp

This learning plan is essential for developers and data scientists looking to master the technology behind modern AI like ChatGPT. It provides a comprehensive path from linguistic foundations to building advanced, production-ready language applications.

5 h 50 m4 Sections
I want to learn about NLP.

I want to learn about NLP.

LEARNING PLAN

I want to learn about NLP.

This comprehensive path bridges the gap between basic programming and state-of-the-art AI, focusing on the revolutionary transformer architectures that define modern technology. It is ideal for aspiring data scientists and software engineers looking to build sophisticated, language-aware applications.

5 h 10 m4 Sections
AI, machine learning

AI, machine learning

LEARNING PLAN

AI, machine learning

This learning plan is essential for anyone looking to enter or advance in the rapidly growing field of artificial intelligence, whether you're a software developer, data professional, or career changer. It provides both the theoretical foundation and practical skills needed to build real AI systems, while also addressing the critical ethical considerations that every AI practitioner must understand. Perfect for those who want to go beyond surface-level AI knowledge and develop the expertise to create, deploy, and responsibly manage machine learning solutions.

3 h 49 m4 Sections
Learn ML Basics 1767952269

Learn ML Basics 1767952269

LEARNING PLAN

Learn ML Basics 1767952269

Machine learning is transforming every industry from healthcare to finance, making it one of the most valuable skills in today's tech landscape. This learning plan is ideal for aspiring data scientists, software engineers looking to transition into AI, and technical professionals who want to build intelligent systems that solve real-world problems.

2 h4 Sections
Master AI & ML for career advancement

Master AI & ML for career advancement

LEARNING PLAN

Master AI & ML for career advancement

This learning plan is designed for aspiring AI professionals who want to transition into one of the fastest-growing and highest-paying tech fields. Whether you're a complete beginner or a developer looking to specialize in AI, this structured path takes you from foundational concepts through advanced implementation skills, culminating in career-ready expertise that employers actively seek in today's AI-driven market.

3 h 22 m4 Sections
Learn AI Fundamentals for Data Science

Learn AI Fundamentals for Data Science

LEARNING PLAN

Learn AI Fundamentals for Data Science

This learning plan bridges the gap between theoretical AI concepts and practical technical execution. It is ideal for aspiring data scientists and developers looking to master the full stack of AI skills from Python basics to deep learning.

4 h 23 m4 Sections
我想学习ai

我想学习ai

LEARNING PLAN

我想学习ai

This comprehensive roadmap bridges the gap between theoretical AI concepts and hands-on technical implementation. It is ideal for aspiring developers and tech enthusiasts looking to transition from basic understanding to building advanced neural networks.

5 h 28 m4 Sections

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