AI Bites Courses

Building a RAG Application Using LangFlow and Streamlit - A Minimal Coding Tutorial

1 rating

Master building a RAG-powered chat application using LangFlow and Streamlit, focusing on minimal code implementation and creating an AI system capable of explaining other AI models.

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

Multi-Agent Systems - A Complete Guide with Hands-On Using LangGraph

1 rating

Explore multi-agent systems fundamentals and build hierarchical agents with LangGraph through hands-on coding, covering limitations of single agents and collaboration structures.

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

Let's Build an AI Research Agent - Python Development with CrewAI

Build an AI research agent using Python and CrewAI to automatically process ArXiv papers, generate summaries, and stay updated with the latest AI research developments.

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

Warp - The New Claude Code - Building End-to-End Apps with Agentic Coding Environment

Explore Warp, a flexible agentic coding environment that lets you build complete applications without writing code, offering model flexibility beyond Claude's limitations.

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

Agentic RAG with NVIDIA NeMo Retriever

Explore Agentic RAG implementation using NVIDIA's top-performing NeMo Retriever, covering theory and hands-on pipeline development with LangGraph integration.

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

Transformers without Normalization - Paper Explained

Explore how Transformers can function without normalization layers, challenging fundamental assumptions about Layer Norm and RMSNorm in modern LLMs like GPT-4 and LLAMA.

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

Vectorize - Evaluate Your RAG Pipelines Seamlessly - RAG Evaluation

Discover how to evaluate and improve your RAG pipelines using Vectorize platform with hands-on demonstrations on your own data for better performance.

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

Google Gemini CLI - A Crash Course

Master Google Gemini CLI from installation to hands-on usage, exploring commands, configurations, and terminal-based AI interactions in this practical tutorial.

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

3 Ways to Run DeepSeek R1 Locally on a Laptop Without Coding

Discover three practical methods to run DeepSeek r1 locally on your laptop without any coding requirements, making open-source AI models accessible for personal use.

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

DeepSeek Janus Pro 7B - Understanding Unified Vision and Generation Models

Explore DeepSeek's Janus Pro 7b architecture, training strategies, and capabilities in unified vision-language processing for both image understanding and generation in AI systems.

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

Understanding OpenAI's Deep Research Feature - Capabilities and Applications

Explore OpenAI's Deep Research feature, its advanced tool usage capabilities, real-world applications, and current limitations in this comprehensive analysis of the next-gen AI technology.

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

Beginner's Guide to Switching from VS Code to Cursor AI - Game Development Tutorial

Discover how to build a Mario game using Cursor AI without writing code - perfect for beginners transitioning from VS Code, featuring FastAPI implementation and prompt-based development.

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

DeepSeek R1 vs OpenAI O1 - A Comparative Analysis of Math and Reasoning Capabilities

Dive into a comprehensive comparison of DeepSeek r1 and OpenAI o1 models, examining their capabilities in mathematical reasoning, logic, and visual problem-solving through practical demonstrations.

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

DeepSeek R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Explore DeepSeek R1's groundbreaking approach to training language models through reinforcement learning, eliminating the need for supervised fine-tuning while achieving superior reasoning capabilities.

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

Building a Local Voice Assistant Like Alexa Using LLMs and Python

Learn to build a voice-controlled AI assistant using Python, Streamlit, LangChain, and Ollama in under 100 lines of code. Create your own local version of Alexa through hands-on coding.

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