🤖🧠 Deep mind AI blog series
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Explorer
Agents
Agent evaluation
Agentic workflow
agentic-workflow-deep-dive
Basics
Integrating tools, functions with the ChatGPT
Memory
Meta prompting
Response caching and its role in agents
Ai Insights
XOR NN
Ai Projects
Robot Navigation in 2D
1. Project Outline
2. Training Data
3. Data generation pipeline
4. Neural network development
5. Project investigate
6. Hyperparameter Tuning Guide
7. Evaluation
8. Multi-Modal Neural Architecture
Distance-Based Perception System (Outdated)
QA
Atomic_Issues
Organisation ID error
Plots are not visible after deploying to github
First Principles
Activation function
Ai Human Brain Overlaps
An Introduction to Self-Supervised Learning, How Machines Teach Themselves
AND Vs XOR using NN
Back propagation Calculus
Cost function
Delta error
Epochs
Gradient descent
Heuristics in Programming, Navigating Complex Problems with Intelligent Shortcuts
Improving NN learning
Learning is slow for sigmoid
Learning Rate
Mathematics
Neural Network Learning Polynomial
NN Learning
Overfitting
Vanishing gradient problem
Weights and Biases
What is convolution
What is Tensor
LLM in Apps
Assistant API
Assistant vs Chat completion api
ChatGPT outputs
Model Context Protocol (MCP)
Ollama
Prompt Engineering
Pydantic model and Json Schema for structured output
Text to speech
Tokens and latency
Robotics
LLM in robotics
Open challenges and long term road map in Robotics
Simulation for robotics
Vision Action Model VAL
AI Podcast
Emergent Properties of Large Language Models
Empirical Study Feature Engineering vs Hyperparameter Tuning in Robot Navigation
Getting started with deep learning study guide
How Large Language Models Learn the Theory of Mind
Web socket
Why Better Data Beats Better Models — A First Principles View
Home
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First Principles
Folder: First-Principles
21 items under this folder.
Oct 06, 2025
Vanishing gradient problem
Oct 06, 2025
Weights and Biases
Oct 06, 2025
What is Tensor
Oct 06, 2025
What is convolution
Oct 06, 2025
AND Vs XOR using NN
example
Oct 06, 2025
Activation function
Oct 06, 2025
Ai Human Brain Overlaps
Oct 06, 2025
An Introduction to Self-Supervised Learning, How Machines Teach Themselves
Oct 06, 2025
Back propagation Calculus
Oct 06, 2025
Cost function
Oct 06, 2025
Delta error
Oct 06, 2025
Epochs
Oct 06, 2025
Gradient descent
Oct 06, 2025
Heuristics in Programming, Navigating Complex Problems with Intelligent Shortcuts
Oct 06, 2025
Improving NN learning
Oct 06, 2025
Learning Rate
Oct 06, 2025
Learning is slow for sigmoid
investigation
Oct 06, 2025
Mathematics
Oct 06, 2025
NN Learning
Oct 06, 2025
Neural Network Learning Polynomial
Oct 06, 2025
Overfitting