AI is all you need

By Easy AI

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Category: Technology

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Episodes: 67

Description

"AI is all you need" is a podcast that simplifies the complex world of artificial intelligence. Join us as we break down AI concepts, applications, and trends into easy-to-understand discussions. Whether you're a beginner or an expert, our show will make AI accessible and engaging for everyone. Tune in for insightful conversations, practical insights, and expert guests, all designed to demystify the world of artificial intelligence.


If you like this podcast, please consider buying me a coffee at https://ko-fi.com/jccrvn! Your donations allow me to continue this amazing project!


Note: This podcast is generated and spoken by AI.


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Episode Date
DeepSeek's Multihead Latent Attention
Nov 14, 2025
Attention Revolution: How Grouped Query Attention is Making AI Faster and More Efficient
Apr 14, 2025
Decoding AlexNet: The Neural Network That Changed Everything
Feb 06, 2025
Unlocking the Power of GRUs: Revolutionizing Sequence Modeling
Jan 29, 2025
Decoding ImageNet: The Contest That Revolutionized Computer Vision
Jan 23, 2025
Unraveling ResNet: The Backbone of Deep Learning
Jan 17, 2025
Unlocking Potential: The Power of Transfer Learning in Deep Learning
Jan 10, 2025
Diffusion Transformers
Jan 03, 2025
Mastering Model Performance: Essential Regularization Techniques
Dec 31, 2024
Gradient Descent
Dec 26, 2024
Types of Attention
Dec 25, 2024
LoRA
Dec 19, 2024
Geoffrey Hinton
Dec 13, 2024
Neural Processing Units
Dec 07, 2024
The Perceptron
Dec 05, 2024
Transformer Networks
Dec 02, 2024
ChatGPT
Jun 06, 2024
Turing Test
Jun 05, 2024
How to avoid overfitting
Mar 28, 2024
Batch Normalization
Mar 21, 2024
LLM training
Mar 14, 2024
Transformers in LLMs
Mar 07, 2024
Self-Supervised Learning
Feb 29, 2024
Fuzzy Logic
Feb 29, 2024
Deep Learning vs Shallow Learning
Feb 22, 2024
Reusing pretrained layers
Feb 15, 2024
Neural Network Embeddings
Feb 15, 2024
Checkpointing during training
Feb 12, 2024
Machine Learning Algorithms
Feb 08, 2024
Natural Language Processing
Feb 01, 2024
Evolutionary Computation
Jan 31, 2024
Computer Vision
Jan 25, 2024
Ethics in AI
Jan 18, 2024
Support Vector Machines
Jan 11, 2024
AI in Healthcare
Jan 11, 2024
Swarm Intelligence
Jan 08, 2024
Ensemble Learning
Jan 08, 2024
Dimensionality Reduction
Jan 08, 2024
Decision Trees
Jan 08, 2024
Anomaly Detection
Jan 08, 2024
Autonomous Vehicles
Jan 04, 2024
Convolutional Neural Network
Dec 28, 2023
Perceptron
Dec 21, 2023
Artificial General Intelligence
Dec 14, 2023
Bayesian Networks
Dec 09, 2023
Subsymbolic AI
Dec 07, 2023
Symbolic AI
Nov 30, 2023
Classification Convolutional Networks
Nov 27, 2023
Transformers Neural Networks
Nov 27, 2023
Overfitting and Underfitting
Nov 24, 2023
Transfer Learning in Neural Networks
Nov 23, 2023
Large Language Models
Nov 23, 2023
Neural Networks in Physics
Nov 21, 2023
Common Challenges in Neural Network Training
Nov 21, 2023
Recurrent Neural Networks
Nov 21, 2023
Ethical Considerations in AI
Nov 19, 2023
Explainable AI
Nov 19, 2023
Generative Adversarial Networks
Nov 19, 2023
Autoencoders
Nov 19, 2023
Reinforcement Learning
Nov 16, 2023
AI and Creativity
Nov 09, 2023
AI for Cybersecurity
Nov 09, 2023
AI in Finance
Nov 09, 2023
Robotics and AI
Nov 09, 2023
AI Bias and Fairness
Nov 09, 2023
Quantum Computing and AI
Nov 09, 2023
Deep Learning
Nov 08, 2023