Table of Content

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Training - Fine-Tuning - Deploying LLMs

• The Transformer Architecture (V2)

• Training LLMs to Follow Instructions

• How to Scale Model Training

Machine Learning Fundamentals

• Introduction to Machine Learning System Design

• GBM vs XGBoost vs LightGBM vs CatBoost

• Optimizing Models with AutoML

• Introduction to Deep Learning

• Advanced Deep Learning Techniques

• Training a Deep Q-Network to Play Video Games

• How To Get a Job in Machine Learning!

Machine Learning System Design

• How to build the Facebook Ads Ranking System

• How Uber Predicts Arrival Times with Deep Learning

• How to Build the TikTok Recommender System End-to-End!

• How to Build the Twitter Feed Ranking Recommender System

• All the Ranking Metrics for Recommender Systems Explained!

• How do Vector Databases Work

• How to Build an Image Retrieval System like Google Images

• Augmenting LLMs: Fine-Tuning or RAG?

• How to Build an AutoML System

• How To Optimize Machine Utilization for Multiple Fine-Tuned LLMs with Hugging Face

• How To Optimize Your RAG Pipelines

• How is AI making Autonomous Driving Possible

Building Machine Learning Solutions

• How to Build a Smart Chatbot in 10 mins with LangChain

• How to Automate Writing Newsletters with LangChain, Stable Diffusion and DiaChat

• How I taught ChatGPT to Draw Diagrams with LangChain

• How to use the OpenAI DALL-E 2 API

• How I got ChatGPT, LLama2, GPT-4 and (almost) Bard into a Chess Tournament!

• How To Build Your Own ChatGPT / Llama Model With Hugging Face

• How to use Reinforcement Learning for Portfolio Optimization

• How To Build An AI Sports Commentator With The Latest GPT-4 Vision and OpenAI Text-to-Speech

• How To Build a Multimodal RAG Pipeline With LlamaIndex

Introduction to LangChain

• LangChain Basics

• Loading Data and Summarizing Text Data Strategies

• Prompt Engineering Fundamentals

• Vector Database Basics

• Retrieval Augmented Generation

• Augmenting LLMs with Tools

• How to Build a Smart Voice Assistant in 20 mins

• How to Automate Writing Books with LangChain

• How to Automate Writing Software with LangChain

• Augmenting LLMs with a Graph Database

• How to Build a Multimodal RAG Pipeline

Introduction to LLMs

• The RNN Encoder-Decoder Architecture

• The Attention Mechanism Before Transformers

• Attention Is All You Need!

• Understanding The Transformer Architecture

• How LLMs Generate Text

• How Do We Create Tokens From Words in LLMs

• Beyond LLMs: The Vision Transformer

Deploying Machine Learning

• Tracking Machine Learning Experiments and Deploying Models with MLFlow

Advanced Machine Learning

• How Generative Adversarial Networks work!

• YOLO In-and-Out Part 1 - from V1 to V4!

• The Different Ways to Fine-Tune LLMs

Data Science Fundamentals

Data wrangling

• Exploratory Data Analysis with Pandas

• Advance Data Manipulation with Pandas

• Scrapping the Web for NLP applications

• Data Visualization with Matplotlib

• Data Visualization with Seaborn

• Social Network Data Visualization

Probability / Statistics

• Modeling Customers Loan Default with Markov Chains

Machine Learning

• How to structure your code for Machine Learning Development

• Tuning XGBoost Hyperparameters with Bayesian Optimization

• 3 Techniques to take your Machine Learning Model Development to the Next Level

• Machine Learning Fundamentals: Interview Questions