echohive Courses

ChatGPT with HTMX, MongoDB, and Tailwind

Build a full-stack ChatGPT webapp with message history using FastAPI, MongoDB, htmx, and Tailwind CSS. Learn database creation, connection, and deployment on Railway with minimal JavaScript.

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

Prototype of a GPT Based Swarm Intelligence System as Example to Inspire More Advanced Swarm Systems

Explore a prototype GPT-based swarm intelligence system, demonstrating ensemble approaches and inspiring advanced swarm development. Includes code reviews, parallelism, and comparisons to true swarm behavior.

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

GPT-4 Codes Near Perfect Llama Index Code Using Vector DB from Documentation

Learn to crawl documentation, extract code blocks, create datasets, and build Llama Index applications using GPT-4 and vector databases. Explore similarity search and generate complete applications from simple descriptions.

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

ChatGPT Auto Builder Codes Multi-File Applications From Basic Descriptions

Automatiza la creación de aplicaciones complejas con múltiples archivos utilizando GPT. Genera código para animaciones, juegos y más a partir de descripciones simples.

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

FastAPI Chatgpt Web App Using OpenAI API with HTML, Tailwind CSS, and JavaScript

Learn to build AI-powered web apps using FastAPI, JavaScript, and OpenAI's GPT models. Covers key concepts like CORS, static files, and HTTP methods for seamless integration.

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

GPT Prompt Engineer Agent Creates Best Prompt for a Task with Prompt Tournament

Explore an automated prompt engineering system using GPT models, Elo ratings, and tournaments to generate optimal prompts for specific tasks.

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

Llama Index - Step by Step Introduction

Step-by-step guide to using Llama Index for document storage, indexing, and querying with customizable LLM settings and prompt helpers. Learn to create, manage, and interact with vector store indexes efficiently.

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

QA Over Documents with Auto Vector Index Selection with Langchain Router Chains

Learn to automatically select vector indexes and prompts for document QA using Langchain router chains, with code demos for Streamlit and terminal applications.

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

AI Agents and Tools in Action - Demos and Tutorials

Explore cutting-edge AI demos and tutorials on agent collaboration, RAG systems, game development, and voice transcription. Master advanced techniques in Python, OpenAI API, and Claude AI.

• YouTube
• 3 hours 4 minutes
• Self-Paced
• Free Video

Fine-Tuning GPT-3.5 Turbo for Complex Tasks with Minimal System Messages

Learn advanced techniques for fine-tuning GPT-3.5 Turbo, including dataset creation, model evaluation, and using the OpenAI API for complex tasks like summarizing Wikipedia articles.

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

Automating Fine-Tuning Data Generation Using GPT-4

Learn to automate fine-tuning data generation for GPT models using Python. Explore the process, implement a GPT-3.5 fine-tuning example, and review the code for practical application.

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

AutoGen Introduction: Step-by-Step Guide Including Docker Setup

Step-by-step guide to using AutoGen library for creating agent interactions with GPT-4, including config setup, conversation history saving, and Docker integration for safe code execution.

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

Building GPT Apps Visually with Rivet Drag-and-Drop UI - Python Code Included

Explore visual programming with Rivet to build GPT-powered apps. Learn to create a tower defense game generator using drag-and-drop UI and Python code.

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

Memwalker Advanced Tree Retrieval Without VectorDB - Python Implementation

Explore a Python implementation of Memwalker, an advanced tree retrieval system using GPT models for summarization and reasoning, without relying on embeddings or VectorDBs.

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

Email Categorization and Fantasy Game Using Instructor and GPT

Learn to categorize emails and create fantasy game characters using Python, Instructor library, and GPT. Practical projects showcase AI integration for work and entertainment applications.

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