echohive Courses

Continuous Attractor Networks That Learn to Hunt and Flee Like Real Animals

Discover how continuous attractor networks enable artificial agents to develop realistic hunting and fleeing behaviors through biologically-inspired learning mechanisms.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Spiking Neural Network from Scratch - Bio-Inspired, No Backpropagation or SGD

Discover how to build bio-inspired spiking neural networks from scratch without traditional backpropagation or SGD optimization methods.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

LLM with Tree Search Learns in Context to Solve Hard Problems

Discover how LLMs use tree search algorithms for in-context learning to tackle complex problem-solving challenges effectively.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Self-Improving LLM Learns Continually in Context to Solve Hard Math Problems

Discover how LLMs can continuously self-improve through in-context learning to tackle challenging mathematical problems without traditional training updates.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Can LLMs Learn a New Language In Context and Translate to It?

Explore whether large language models can learn new languages in context and perform translation tasks through practical benchmarking experiments.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

What Can a Blind LLM See? - Exploring Visual Perception Through Grid-Based Drawing

Discover how blind LLMs can "see" by making parallel API calls to draw on grids, with each coordinate as an individual call to determine pixel placement.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

GPT-5 Context Engineer v2 with Web Search

Master advanced context engineering techniques for GPT-5 with integrated web search capabilities in this focused 10-minute tutorial.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

GPT-5 vs Sonnet-4 Design Contest - Python Script to Webapp Refactoring

Discover how GPT-5 and Sonnet-4 compete in transforming Python scripts into web applications through practical refactoring techniques and design comparisons.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

LLM-Driven In-Context Adaptive Learning - New Attempt

Discover how to implement LLM-driven adaptive learning systems that dynamically adjust content based on context for personalized educational experiences.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Generalizable LLM Problem Solver with Tree Search and Self-Reflection and 2-Stage Evaluation

Discover how to build an advanced LLM problem solver using tree search algorithms, self-reflection mechanisms, and dual-stage evaluation for enhanced reasoning capabilities.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Monte Carlo Simulations Explained

Discover how Monte Carlo simulations work through practical examples and learn to apply probabilistic modeling techniques for complex problem-solving scenarios.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Creating Animated Art with Math Using P5.JS

Discover how to create stunning animated art by combining mathematical concepts with P5.JS programming in this hands-on tutorial.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

GPT-5 Learns and Adapts in Context Dynamically to Solve Hard Data Problems - Achieves 79.6%

Discover how GPT-5 dynamically learns and adapts in context to tackle complex data challenges, achieving an impressive 79.6% success rate through advanced techniques.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

LLMs That Learn on the Fly to Solve Unseen Problems

Discover how LLMs adapt dynamically to solve new problems through in-context learning techniques and real-world applications.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Build AI Powered Apps Crash Course - Part 1

Learn essential tools and commands for building AI-powered apps, including VS Code setup, terminal usage, PIP package management, and Conda virtual environments.

• YouTube
• 23 minutes
• Self-Paced
• Free Video