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ἐντελέχεια.άι
Introduction
Courses
Introduction to NLP
Introduction
NLP Applications
Research Part I
Research Part II
Language Models
N-gram Language Models
Usage of Language Models
Datasets
Text Data Collection
Lab: Crawling DART Data
Topic Modeling
Topic Modeling Methodologies
Lab: Topic Modeling
Topic Coherence Measures
Lab: Topic Coherence
Lab: Tomotopy
Sentiment Analysis
Lexicon-Based Methods
Machine Learning-Based Methods
Lab: Lexicon-based Sentiment Analysis
Lab: ML-based Sentiment Classification
Tokenization
Understanding the Basics
Part-of-Speech Tagging and Parsing
N-grams for Tokenization
Tokenization in Korean
Word Segmentation and Association
Lab: Tokenization and Pre-processing
Lab: Korean Text Processing
Vector Representation
Vector Semantics
Bags of Words Model
TF-IDF Model
Word Similarity
Lab: Word Similarity
Word Embeddings
Neural Language Models
Word2Vec
GloVe
FastText
Deep Learning for NLP
Large Language Models
Zero Shot and Prompt Engineering
Decoding and Search Strategies
Pretrained Language Models
Transformers
BERT: Bidirectional Encoder Representations from Transformers
BERT: Visualizing Attention
T5: Text-To-Text Transfer Transformer
ByT5: Towards a token-free future with pre-trained byte-to-byte models
Datasets
mC4 Dataset
Lab: Exploratory Data Analysis (EDA)
Tokenization
Subword Tokenization
Tokenization Pipeline
BPE Step-by-Step Implementation
WordPiece Step-by-Step Implementation
Unigram Step-by-Step Implementation
SentencePiece Tokenizer
Lab: Training Tokenizers
Training Language Models
Lab: Pretraining LMs - MLM
Lab: Pretraining LMs - CLM
Lab: Finetuining a MLM
Conversational AI and Chatbots
Reinforcement Learning with Human Feedback (RLHF)
How to Spot Machine-Written Texts
Advances in AI and NLP
Writing a Thesis
Generative Language Models
DetectGPT
GPT-4
Meet the Camelids: A Family of LLMs
Segment Anything
AI Art (Generative AI)
Introduction
A Brave New World
Art and Music in Light of AI
Text-to-Image Models
DALL·E 1
DALL·E 2
Imagen
Motion Capture and Motion Synthesis
Robot Drawing System
Machine Learning Systems Design
Introduction to MLOps
MLOps Project
DevOps
GitOps
DevSecOps
Dotfiles
Dotfiles Project
Dotdrop Setup
GitHub Setup
SSH, GPG, and Age Setup
SOPS Usage
Pass and Passage Usage
Doppler Usage
Dockerfiles Usage
Security Management
Authentication, Encryption, and Signing
SSH, GPG, and AGE
Unix Password Managers
GitHub Workflow
Github’s Fork & Pull Workflow
Project Templating Tools
Hyperfast Python Template
Hyperfast Template
Containerization
Docker
containerd
Simple MLOps Pipeline
Server Setup & Usage
VPN Connectivity
LLMOps
Introduction to BentoML
Deploy a Voice-Based Chatbot with BentoML, LangChain, and Gradio
Data Science for Economics and Finance
Introduction
Data Science in Economics
Technical Challenges
Data Analytics Methods
Central Banks
Alternative Data Sources for Central Banks
Textual Analysis of FOMC contents
Preparing Numerical Data
Preparing Textual Data
EDA on Numerical Data
EDA on Numerical Data
Create Training Datasets
Visualizing Features
Checking Baseline with AutoML
Predicting Sentiments of FOMC Corpus
EDA on Sentiments: Correlation
EDA on Sentiment Data
Visualize Features
Monetary Policy Shocks
Predicting the next decisions with tones
ESG Ratings
Preparing training datasets
Improving classification datasets
Training Classifiers for ESG Ratings
Building
econ_news_kr
corpus
Predicting ESG Categories and Polarities
Cross validating datasets
Preparing active learning data
Putting them together in a pipeline
Software Engineering
Introduction
Software Engineering?
Software Processes
Software Development Life Cycle (SDLC)
Requirements Engineering (RE)
Project Proposal
Steps in Software Engineering Projects
Software Engineering Proposal Guideline
Project Proposal Template
Version Control Systems
0. Introduction to version control
1. Solo work with git
2. Fixing mistakes
3. Publishing
4. Collaboration
5. Fork and Pull
6. Git Theory
7. Branches
8. Advanced git concepts
9. Publishing from GitHub
10. Rebasing
11. Debugging With git bisect
12. Working with multiple remotes
Software Process Models
Agile Software Development
DevOps
GitOps
Large Language Models
Introduction
Large Language Models?
LLM Stacks
Generative AI Infrastructure Stack
LLM Application Architectures
LLM App Ecosystem
AI Agents
AutoGen
AutoGen AutoScraper Agent
LLM Fine-tuning
Fine-Tuning LLMs with Hugging Face AutoTrain
Retrieval Augmented Generation (RAG)
Parameter-Efficient Fine-Tuning (PEFT)
PEFT for LLMs
PEFT in HuggingFace Libraries
Q-Learning
Q-Star (Q*)
About
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Bibliography
Index