My Courses
Observing and Examining AI Agents through AgentOps
Explore how AgentOps monitors, debugs, and tracks costs for LLM-based AI agents in various contexts.
Self-Organising File Management Through LlamaFS
Implement LlamaFS, an AI-driven file management system, based on Llama3 and Groq.
GNN-RAG: Enhancing the Reasoning Capabilities of LLMs using GNNs
GNN-RAG, a recent development, synergises GNNs and LLMs to excel in KGQA.
Implementing RAG-as-a-Service using Vectara
Discover Vectara and simplify RAG-as-a-Service for seamless generative AI application building.
RAG Reproducibility and Research using FlashRAG
FlashRAG: An open-source toolkit for standardised comparison and reproduction of RAG methods.
No-Code Approach for Building Agentic RAG using RAGapp
Implement Agentic RAG with RAGapp: no-code, an agent-based framework for multi-step reasoning using Docker.
Implementing Rapid LLM Inferencing using Groq
Discover and implement Groq’s API for faster LLM inferencing with exceptional speed and efficiency.
Hands-on Guide to LLava for Enhanced Multimodal Integration in AI
Discover how LLava integrates text and visual data to enhance AI capabilities in multimodal applications.
Diving Deeper into Vector Database Management with LanceDB
Explore LanceDB, an advanced open-source vector database optimized for high-performance AI applications and multimodal data management.
Integrating Continue AI with VS Code to Boost Coding Efficiency
Integrate Continue AI with VS Code to boost coding efficiency and productivity. Learn setup, features, and benefits.
