RAG Systems Course
A Crash Course on Building RAG Systems – Part 9 (With Implementation)
A deep dive into ColPali for building vision-driven RAG systems (with implementation).
LLMs
A collection of 90 posts
RAG Systems Course
A Crash Course on Building RAG Systems – Part 8 (With Implementation)
A deep dive into ColBERT and ColBERTv2 for improving RAG systems (with implementation).
LLMs
Building a 100% local mini-ChatGPT
...using Llama-3.2 Vision and Chainlit.
RAG Systems Course
A Crash Course on Building RAG Systems – Part 7 (With Implementation)
A deep dive into Graph RAG and how it improves traditional RAG systems (with implementation).
LLMs
RAG vs. Agentic RAG
...explained visually
LLMs
[Hands-on] Building A Multi-agent News Generator
...using Cohere’s Command R7B and CrewAI.
![[Hands-on] Building A Multi-agent News Generator](https://storage.ghost.io/c/3f/df/3fdf6ed2-17ac-4b12-a693-8078bd13e748/content/images/size/w400/2024/12/8a8ccee4-609f-49ff-9807-39ea2dcc8f17_1776x890.gif)
LLMs
What is Temperature in LLMs?
Predictable ↔ Random.
LLMs
LoRA/QLoRA—Explained From a Business Lens
From 350 GB to 25 MB.
LLMs
Generate Synthetic Datasets with Llama3
...for fine-tuning other LLMs.
RAG Systems Course
A Crash Course on Building RAG Systems – Part 6 (With Implementation)
A deep dive into building multimodal RAG systems on real-world data (with implementation).
LLMs
Building a RAG app using Llama-3.3
Meta's latest LLM (100% Local).
Agents
Intro to ReAct (Reasoning and Action) Agents
...and building one with Dynamiq.
LLMs
[Hands-on] Building a Llama-OCR app
...using Llama-3.2-vision model and Streamlit.
![[Hands-on] Building a Llama-OCR app](https://storage.ghost.io/c/3f/df/3fdf6ed2-17ac-4b12-a693-8078bd13e748/content/images/size/w400/2024/12/Screenshot-2024-12-13-at-2.03.11-AM.png)
RAG Systems Course
A Crash Course on Building RAG Systems – Part 5 (With Implementation)
A deep dive into key components of multimodal systems—CLIP embeddings, multimodal prompting, and tool calling.
Agents
Building a Multi-agent Financial Analyst
...using Microsoft's Autogen and Llama3-70B.
LLMs
Traditional RAG vs. HyDE
...explained visually.
RAG Systems Course
A Crash Course on Building RAG Systems – Part 3 (With Implementation)
A deep dive into making RAG systems faster (with implementations).
LLMs
Build a Multi-agent Research Assistant With SwarmZero
Your own PerplexityAI (100% local).
LLMs
Run LLMs Locally with Ollama
A step-by-step hands-on guide.
RAG
A crash course on RAG systems - Part 2
Beginner-friendly and with implementation.
LLMs
Prompting vs. RAG vs. Fine-tuning
Which one is best for you?
LLMs
From PyTorch to Lightning Fabric
Scale model training with 4 small changes.
LLMs
Techniques to Extend Context Length of LLMs
Key techniques, explained in simple terms.
RAG Systems Course
Foundations of RAG systems
A practical and beginner-friendly crash course on building RAG apps (with implementations).
LLMs
5 Chunking Strategies For RAG
...explained in a single frame.
LLMs
NumPy Cheat Sheet for Data Scientists
40 most used methods.
LLM and Fine-tuning
Augmenting LLMs: Fine-Tuning or RAG?
Understanding the tradeoffs between RAG and Fine-tuning, and owning the model vs. using a third-party host.
LLM and Fine-tuning
Implementing DoRA (an Improved LoRA) from Scratch
A powerful LoRA-variant explained in a beginner-friendly way and implemented in PyTorch.
LLM and Fine-tuning
Understanding LoRA-derived Techniques for Optimal LLM Fine-tuning
LoRA-variants explained in a beginner-friendly way.
LLM and Fine-tuning
Implementing LoRA From Scratch for Fine-tuning LLMs
Understanding the challenges of traditional fine-tuning and addressing them with LoRA.
