Related Skills
Related Skills
Modern Natural Language Processing: From Understanding the Transformer Architecture to Practical LLM Fine-Tuning
YoungJea Oh
Intermediate / Deep Learning(DL), NLP, AI, LLM
4.9
(31)
Do you know the basics but feel overwhelmed when it comes to applying them in practice? Drawing on real-world experience, we make complex LLM architectures easy to understand.
Intermediate
Deep Learning(DL), NLP, AI
Modern Natural Language Processing: From Understanding the Transformer Architecture to Practical LLM Fine-Tuning
YoungJea Oh
Intermediate / Deep Learning(DL), NLP, AI, LLM
4.9
(31)
Everyone's Korean Text Analysis and Natural Language Processing with Python
todaycode
Basic / NLP, Text Mining, Machine Learning(ML), data-clustering, Big Data, Data literacy, Python
4.9
(32)
Python Korean Text Analysis and Natural Language Processing: Word Cloud Visualization, Morphological Analysis, Topic Modeling, Clustering, Similarity Analysis, Bag of Words and TF-IDF for Text Data Vectorization, Text Classification Using Machine Learning and Deep Learning, and How to Use Hugging Face
Basic
NLP, Text Mining, Machine Learning(ML)
Everyone's Korean Text Analysis and Natural Language Processing with Python
todaycode
Basic / NLP, Text Mining, Machine Learning(ML), data-clustering, Big Data, Data literacy, Python
4.9
(32)
Grasping Deep Learning Concepts Leading to Practical Artificial Intelligence
dlbro
Beginner / Machine Learning(ML), Deep Learning(DL), Artificial Neural Network
4.7
(113)
This course conveys the essential knowledge needed to understand the structures and operating principles of various artificial neural networks and build good models.
Beginner
Machine Learning(ML), Deep Learning(DL), Artificial Neural Network
Grasping Deep Learning Concepts Leading to Practical Artificial Intelligence
dlbro
Beginner / Machine Learning(ML), Deep Learning(DL), Artificial Neural Network
4.7
(113)
Large-Scale Language Models for Everyone LLM Part 3 - Building AI Applications with Google Gemini API, OpenAI API, and Gemma
AISchool
Intermediate / openAI API, ChatGPT, gemini, Gemma, multimodal, LLM, Deep Learning(DL), streamlit
4.8
(16)
This course will teach you the concept of the Google Gemini model and how to use the Gemini API, and create various AI applications using Streamlit.
Intermediate
openAI API, ChatGPT, gemini
Large-Scale Language Models for Everyone LLM Part 3 - Building AI Applications with Google Gemini API, OpenAI API, and Gemma
AISchool
Intermediate / openAI API, ChatGPT, gemini, Gemma, multimodal, LLM, Deep Learning(DL), streamlit
4.8
(16)
Fundamentals of LLMs (for Product Planners) and Understanding LLM-Based Service Planning
arigaram
Intermediate / NLP, gpt, AI, ChatGPT, LLM
4.1
(10)
Explains why LLMs are needed, along with their technical background and basic concepts, for those responsible for LLM planning and LLM application planning.
Intermediate
NLP, gpt, AI
Fundamentals of LLMs (for Product Planners) and Understanding LLM-Based Service Planning
arigaram
Intermediate / NLP, gpt, AI, ChatGPT, LLM
4.1
(10)
Understanding the Fundamental Principles of Large Language Models (LLMs)
arigaram
Intermediate / NLP, gpt, AI, ChatGPT, LLM
4.5
(6)
You can enhance your development capabilities by deeply exploring the fundamental principles of large language models like ChatGPT and Claude. You will be able to learn a variety of information and development techniques that are not commonly encountered.
Intermediate
NLP, gpt, AI
Understanding the Fundamental Principles of Large Language Models (LLMs)
arigaram
Intermediate / NLP, gpt, AI, ChatGPT, LLM
4.5
(6)
![[LLM 101] Llama SFT Tutorial for LLM Beginners (feat. ChatApp Poc)Course Thumbnail](https://cdn.inflearn.com/public/files/courses/333429/cover/01k09qxkkwjcrqe886az6rr63t?f=avif&w=420)
[LLM 101] Llama SFT Tutorial for LLM Beginners (feat. ChatApp Poc)
dreamingbumblebee
Basic / NLP, ChatGPT, LLM, Llama, Fine-Tuning
4.2
(30)
LLM: A pro quickly delivers core content, from essentials to practical tips!
Basic
NLP, ChatGPT, LLM
[LLM 101] Llama SFT Tutorial for LLM Beginners (feat. ChatApp Poc)
dreamingbumblebee
Basic / NLP, ChatGPT, LLM, Llama, Fine-Tuning
4.2
(30)
From LLM Fundamentals to the Latest RAG & LangChain: Master the LLM Basics Course in Just 5 Hours!
HappyAI
Basic / Chatbot, LLM, LangChain, RAG, openAI API
4.1
(33)
This is a course to master the fundamental theories of LLM and the core technologies of LangChain and RAG. You can easily learn the latest AI technologies used in practice, starting from LLM basics!
Basic
Chatbot, LLM, LangChain
From LLM Fundamentals to the Latest RAG & LangChain: Master the LLM Basics Course in Just 5 Hours!
HappyAI
Basic / Chatbot, LLM, LangChain, RAG, openAI API
4.1
(33)
Large Language Model for Everyone LLM (Large Language Model) Part 1 - Try Fine-Tuning Llama 2
AISchool
Intermediate / LLM, Llama, Deep Learning(DL), PyTorch, ChatGPT
4.7
(120)
We will learn step by step from the basic concepts of LLM (Large Language Model) to how to fine-tune the Llama 2 model, a high-performance LLM, on the dataset of your choice.
Intermediate
LLM, Llama, Deep Learning(DL)
Large Language Model for Everyone LLM (Large Language Model) Part 1 - Try Fine-Tuning Llama 2
AISchool
Intermediate / LLM, Llama, Deep Learning(DL), PyTorch, ChatGPT
4.7
(120)
Developing Without a Developer (1): IT Basics for Vibe Coding
jocodingax
6 Days Only Early Bird
17%
$30.80Beginner / https, Vibe Coding
If you keep repeating “It doesn’t work” when an AI-built service fails, this course is the answer. Follow the path a single request takes—from the screen to the server, data, and deployment—and learn how to use developer tools to pinpoint exactly where it gets stuck and tell AI precisely how to fix it. You won’t write a single line of code.
Beginner
https, Vibe Coding
Developing Without a Developer (1): IT Basics for Vibe Coding
jocodingax
6 Days Only Early Bird
17%
$30.80Beginner / https, Vibe Coding
Introduction to Deep Learning Natural Language Processing with Examples NLP with TensorFlow - From RNN to BERT
AISchool
Basic / Deep Learning(DL), NLP, Tensorflow
4.4
(35)
From the basics of deep learning natural language processing to the latest models such as Transformer and BERT, learn the principles and utilization methods of deep learning natural language processing (NLP) through various examples and practical code implementations.
Basic
Deep Learning(DL), NLP, Tensorflow
Introduction to Deep Learning Natural Language Processing with Examples NLP with TensorFlow - From RNN to BERT
AISchool
Basic / Deep Learning(DL), NLP, Tensorflow
4.4
(35)
Let's Efficiently Manipulate AI! ChatGPT Prompt Engineering Part. 1
usefulit
Beginner / ChatGPT, prompt engineering, AI
5.0
(7)
Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!
Beginner
ChatGPT, prompt engineering, AI
Let's Efficiently Manipulate AI! ChatGPT Prompt Engineering Part. 1
usefulit
Beginner / ChatGPT, prompt engineering, AI
5.0
(7)
Physical AI: Learning by Following Along for Everyone
roboseasy
Beginner / Python, AI
5.0
(2)
The era of Physical AI, as mentioned by Jensen Huang in 2025, is coming—alongside Perception AI, Generative AI, and Agentic AI. Experience Physical AI firsthand, quickly and easily. Explore Physical AI using Hugging Face's LeRobot library and actual physical robots.
Beginner
Python, AI
Physical AI: Learning by Following Along for Everyone
roboseasy
Beginner / Python, AI
5.0
(2)
![[NetMiner 4] Collecting Research Paper Data and Analyzing Research TrendsCourse Thumbnail](https://cdn.inflearn.com/public/files/courses/343977/cover/01m1bfta1487yy3n16bv46k9t1?f=avif&w=420)
[NetMiner 4] Collecting Research Paper Data and Analyzing Research Trends
CYRAM NetMiner
Basic / Big Data, data-analysis, text-analysis, network-analysis, social-network, Text Mining
This course teaches how to identify research trends through social network analysis by directly collecting and preprocessing paper data. Through hands-on practice, you will learn how to collect data using the Bibliographic Information Collector (Biblio Data Collector), transform a two-mode relationship connecting “papers” and “authors” into a one-mode network connecting “authors” and “authors,” and extract words from unstructured text data such as abstracts, followed by keyword network analysis and visualization.
Basic
Big Data, data-analysis, text-analysis
[NetMiner 4] Collecting Research Paper Data and Analyzing Research Trends
CYRAM NetMiner
Basic / Big Data, data-analysis, text-analysis, network-analysis, social-network, Text Mining
![[NetMiner 5] Collecting Paper Data and Analyzing Research TrendsCourse Thumbnail](https://cdn.inflearn.com/public/files/courses/343891/cover/01m1b248ftjmcrfaangpmypk53?f=avif&w=420)
[NetMiner 5] Collecting Paper Data and Analyzing Research Trends
CYRAM NetMiner
Basic / Machine Learning(ML), Text Mining, data-visualization, data-analysis, text-analysis, latentdirichletallocation, network-analysis
How can you analyze data in research papers and identify research trends? This course covers quantitative research trend analysis, from collecting bibliographic information to network analysis and topic modeling, using NetMiner 5 and Biblio Data Collector. By developing bibliographic data processing skills and network analysis techniques, you can identify research trends objectively and efficiently.
Basic
Machine Learning(ML), Text Mining, data-visualization
[NetMiner 5] Collecting Paper Data and Analyzing Research Trends
CYRAM NetMiner
Basic / Machine Learning(ML), Text Mining, data-visualization, data-analysis, text-analysis, latentdirichletallocation, network-analysis
Getting Started with Custom LLM Creation – An Introduction to LoRA & QLoRA Fine-tuning
HappyAI
Beginner / Deep Learning(DL), NLP, AI, LLM, Fine-Tuning
4.4
(61)
"Your first step to creating a customized LLM with LoRA-based lightweight fine-tuning!" This is an introductory hands-on course designed so that even those new to LLMs can easily follow along. We minimize complex theory and guide you step-by-step through the entire process: loading the model → applying data → training → comparing results. In a short time, you'll directly experience the workflow of cutting-edge lightweight fine-tuning techniques like LoRA and QLoRA, and gain an intuitive understanding of "how LLM fine-tuning works." Even without extensive resources, experience the satisfaction of creating an LLM specialized for your domain!
Beginner
Deep Learning(DL), NLP, AI
Getting Started with Custom LLM Creation – An Introduction to LoRA & QLoRA Fine-tuning
HappyAI
Beginner / Deep Learning(DL), NLP, AI, LLM, Fine-Tuning
4.4
(61)
History and Development of LLMs
arigaram
Beginner / NLP, RNN, self-attention, transformer, LLM
It explains in detail the various language models developed in the process, starting from the beginnings of natural language processing technology to the latest LLM models.
Beginner
NLP, RNN, self-attention
History and Development of LLMs
arigaram
Beginner / NLP, RNN, self-attention, transformer, LLM
Understanding LLM Application User Requirements Gathering and Analysis Methods (for Product Managers)
arigaram
Beginner / Project Management (PM), Service Planning, AI, LLM
4.0
(1)
We will look at how to collect and analyze user requirements for planning an LLM service.
Beginner
Project Management (PM), Service Planning, AI
Understanding LLM Application User Requirements Gathering and Analysis Methods (for Product Managers)
arigaram
Beginner / Project Management (PM), Service Planning, AI, LLM
4.0
(1)
Limitations, Latest Technologies, and Future Outlook of LLMs
arigaram
Beginner / NLP, Service Planning, Content Planning, AI, LLM
Explore the limitations of LLMs, the latest technologies to overcome them, and projected future technologies.
Beginner
NLP, Service Planning, Content Planning
Limitations, Latest Technologies, and Future Outlook of LLMs
arigaram
Beginner / NLP, Service Planning, Content Planning, AI, LLM
![AI Reading Comprehension for Engineers [Beginner Edition] — 48 Lessons on Understanding Model Cards, API Documentation, and Research PapersCourse Thumbnail](https://cdn.inflearn.com/public/files/courses/343794/cover/01m01gk3f7dhe2fwesbwf63tz0?f=avif&w=420)
AI Reading Comprehension for Engineers [Beginner Edition] — 48 Lessons on Understanding Model Cards, API Documentation, and Research Papers
Hiro Son
Early Bird
74%
$38.50Beginner / Deep Learning(DL), AI, transformer, LLM, RAG, AI Agent, AX(Agent Experience)
Using AI has become easier, but model cards and papers are still difficult to read, even just a few lines. Although you can look up the meanings of individual words, it’s not clear how those words connect to one another. This course builds up around 160 essential terms that frequently appear in AI documents, in the easiest order to understand them, so that in each lesson you can accurately read a single sentence from an actual document.
Beginner
Deep Learning(DL), AI, transformer
AI Reading Comprehension for Engineers [Beginner Edition] — 48 Lessons on Understanding Model Cards, API Documentation, and Research Papers
Hiro Son
Early Bird
74%
$38.50Beginner / Deep Learning(DL), AI, transformer, LLM, RAG, AI Agent, AX(Agent Experience)
Large language models, the essentials at a glance!
haesunpark
Beginner / Artificial Neural Network, PyTorch, LLM, Fine-Tuning, RNN
4.7
(10)
This course covers the theory and practical examples of LLMs, based on <Fundamentals of Large Language Models, Quickly!> (Insight, 2025).
Beginner
Artificial Neural Network, PyTorch, LLM
Large language models, the essentials at a glance!
haesunpark
Beginner / Artificial Neural Network, PyTorch, LLM, Fine-Tuning, RNN
4.7
(10)
Anyone can do it! Create your own service without coding with 'Vibe Coding'
selfishclub
Beginner / Vibe Coding, replit, ChatGPT
3.0
(1)
We are now in an era where anyone can create services without coding. The Selfish Club crew members implemented services for actual use in just three weeks by selecting only the essential features. These are examples of crew members who don't know how to code, solving problems themselves by building services using only natural language prompts. Vibe coding is no longer a foreign concept! We are sharing all the real-world examples of "what problems can actually be solved through coding!"
Beginner
Vibe Coding, replit, ChatGPT
Anyone can do it! Create your own service without coding with 'Vibe Coding'
selfishclub
Beginner / Vibe Coding, replit, ChatGPT
3.0
(1)
![[NetMiner 4] Social Media Data Collection and AnalysisCourse Thumbnail](https://cdn.inflearn.com/public/files/courses/343979/cover/01m1bfv1qzn1pnyrdff8hmczb5?f=avif&w=420)
[NetMiner 4] Social Media Data Collection and Analysis
CYRAM NetMiner
Intermediate / Machine Learning(ML), Big Data, Text Mining, data-analysis, social-media, network-analysis, social-network
This course teaches how to collect, model, and analyze social media data using NetMiner. It covers how to collect and organize YouTube data using NetMiner’s SNS Data Collector, understand and model the types and structures of social media data, and analyze social media influence, topics, and trends through theory, case studies, and hands-on practice.
Intermediate
Machine Learning(ML), Big Data, Text Mining
[NetMiner 4] Social Media Data Collection and Analysis
CYRAM NetMiner
Intermediate / Machine Learning(ML), Big Data, Text Mining, data-analysis, social-media, network-analysis, social-network
![[NetMiner 4] Text Network AnalysisCourse Thumbnail](https://cdn.inflearn.com/public/files/courses/343975/cover/01m1bfrh49qxf6fvfjp87kh21w?f=avif&w=420)
[NetMiner 4] Text Network Analysis
CYRAM NetMiner
Basic / Text Mining, data-analysis, text-analysis, semantic-analysis, latentdirichletallocation, network-analysis
This course covers methods for analyzing unstructured text data, such as news articles, tweets, and speeches, using NetMiner’s text network analysis features. You will build a theoretical foundation in the entire text network analysis process, from extracting words from unstructured text data and discovering topics to constructing and visualizing word networks and selecting key keywords. You will also practice applying these analytical methods to real-world news article and Twitter data using NetMiner.
Basic
Text Mining, data-analysis, text-analysis
[NetMiner 4] Text Network Analysis
CYRAM NetMiner
Basic / Text Mining, data-analysis, text-analysis, semantic-analysis, latentdirichletallocation, network-analysis
Complete AI Mastery for Non-Majors: From Machine Learning to Generative AI
ywjang23583
Beginner / Machine Learning(ML), Statistics, Big Data, AI, classifier
Through a systematic curriculum of 40 lectures, you will learn everything from the basic theories of AI to the applied AI technologies of each algorithm. Through mathematical intuition and R coding algorithm learning and practice, you will develop immediately applicable AI model development capabilities, covering everything from designing algorithm models for data analysis, machine learning, and their application tools to selecting and utilizing them.
Beginner
Machine Learning(ML), Statistics, Big Data
Complete AI Mastery for Non-Majors: From Machine Learning to Generative AI
ywjang23583
Beginner / Machine Learning(ML), Statistics, Big Data, AI, classifier
Understanding Core LLM Theory Through Architecture - How ChatGPT, RAG, and Agents Work, All at Once -
HappyAI
Beginner / ChatGPT, prompt engineering, LLM, RAG, AI Agent
4.5
(31)
You use ChatGPT, but haven’t you found it difficult to explain why it produces answers like these? “I know terms like RAG, agents, and fine-tuning… but it’s difficult to explain them precisely.” “When I hear LLM-related terminology, I’m at a loss for words.” “Explanations of concepts in AI meetings are always vague.” This course was created specifically for people like you. This is a theory course designed to help you understand LLMs not as ‘tools,’ but as ‘structures.’ Rather than teaching you how to use ChatGPT or Gemini, it gives you a framework for explaining why they work the way they do.
Beginner
ChatGPT, prompt engineering, LLM
Understanding Core LLM Theory Through Architecture - How ChatGPT, RAG, and Agents Work, All at Once -
HappyAI
Beginner / ChatGPT, prompt engineering, LLM, RAG, AI Agent
4.5
(31)
Mastering Prompt Engineering
arigaram
Intermediate / prompt engineering
5.0
(4)
It covers a wide range of topics, from prompt engineering theory and practical techniques to the latest application cases and security/ethical issues, providing practical assistance to LLM-based service developers, data scientists, and AI planners alike.
Intermediate
prompt engineering
Mastering Prompt Engineering
arigaram
Intermediate / prompt engineering
5.0
(4)
The Great Pirate Era of AI has begun.
sorryhyun96
Beginner / Deep Learning(DL), LLM
4.5
(76)
Is this kind of introduction even important right now? Use the DeepSeek R1 model right away.
Beginner
Deep Learning(DL), LLM
The Great Pirate Era of AI has begun.
sorryhyun96
Beginner / Deep Learning(DL), LLM
4.5
(76)
Building RAG Directly — From Hybrid Search, Reranking, and Multi-Stage Retrieval to Evaluation and Operations
haeyeomiso
Early Bird
33%
$39.60Basic / Python, vector-database, LLM, RAG
Build a small RAG system with three documents, then use actual execution logs to determine where to start fixing things—documents, retrieval, context, or generation—when the answers are wrong. Quantify the impact of improvements, including hybrid retrieval and reranking, multi-stage retrieval, and permission and operational checks.
Basic
Python, vector-database, LLM
Building RAG Directly — From Hybrid Search, Reranking, and Multi-Stage Retrieval to Evaluation and Operations
haeyeomiso
Early Bird
33%
$39.60Basic / Python, vector-database, LLM, RAG
Explanation of the Example Code in <Deep Learning with Python, 3rd Edition, by the Creator of Keras>
haesunpark
5 Days Only Early Bird
30%
$53.90Basic / Deep Learning(DL), Keras, Tensorflow, Stable Diffusion, LLM
This is a hands-on deep learning course where you learn by directly practicing the GitHub example code from *Deep Learning with Python, Third Edition* by François Chollet, the creator of Keras. You will implement everything step by step, from basic artificial neural networks to the latest LLMs and diffusion models, while learning machine learning pipelines and best practices that can be applied directly in real-world projects.
Basic
Deep Learning(DL), Keras, Tensorflow
Explanation of the Example Code in <Deep Learning with Python, 3rd Edition, by the Creator of Keras>
haesunpark
5 Days Only Early Bird
30%
$53.90Basic / Deep Learning(DL), Keras, Tensorflow, Stable Diffusion, LLM
Everything About RNNs | TTT Transformer Lecture Free Release
hyukppen
Basic / RNN, Deep Learning(DL)
How do RNNs process sequential information? We’re releasing the RNN section of TTT: To The Transformer for free. Gain an intuitive understanding of how recurrent neural networks work and build a foundation for studying attention and transformers.
Basic
RNN, Deep Learning(DL)
Everything About RNNs | TTT Transformer Lecture Free Release
hyukppen
Basic / RNN, Deep Learning(DL)
Full-stack Voice-to-Text AI Note Web App with WhisperX: From Development to Monetization with a Payment System
dakgangjung123
Intermediate / saas, whisper, gemini, payments, Python, Kaggle, Express
Are you feeling stuck with AI and payment integration, or production-level implementation? With know-how gained through countless trials and errors, I will help you complete a fully operational Voice AI SaaS. A simple demo is easy, but everyone gets stuck when trying to tie the entire cycle together—from upload and memo editing to credits, payments, and admin management. This course will guide you through that final stretch, putting a fully functioning voice-to-text product right into your hands.
Intermediate
saas, whisper, gemini
Full-stack Voice-to-Text AI Note Web App with WhisperX: From Development to Monetization with a Payment System
dakgangjung123
Intermediate / saas, whisper, gemini, payments, Python, Kaggle, Express
From my life's OS with Claude Code, to my team's OS with OpenClaude.
selfishclub
Basic / AI, claude, openclaw, Vibe Coding
Hundreds of saved materials, but zero materials opened again. Materials that are just piled up and never looked at. Are you perhaps doing the same? We're sharing a case study of someone who built their own OS to solve this problem.
Basic
AI, claude, openclaw
From my life's OS with Claude Code, to my team's OS with OpenClaude.
selfishclub
Basic / AI, claude, openclaw, Vibe Coding
PostgreSQL for Silicon Valley AI Developers Handling 200 Billion+ Data Records
Hong
Beginner / MySQL, PostgreSQL, Oracle, DBMS/RDBMS, database
4.6
(18)
This course goes beyond basic CRUD-level database usage, helping you develop the PostgreSQL skills needed in the AI era from a practical, real-world perspective. Drawing on AI development experience in Silicon Valley, you’ll gradually learn how to design and use JSON, indexes, transactions, and pgvector in actual services, while gaining the skills to solve complex data structure and performance problems.
Beginner
MySQL, PostgreSQL, Oracle
PostgreSQL for Silicon Valley AI Developers Handling 200 Billion+ Data Records
Hong
Beginner / MySQL, PostgreSQL, Oracle, DBMS/RDBMS, database
4.6
(18)
#1 OpenClaw: Creating Your Own AI Assistant
dakgangjung123
2 Days Only
14%
$6.60Beginner / LLM, AI, AI Agent, Linux, vmware, openclaw
4.2
(17)
What if AI could directly open a browser and write shell scripts to resolve server issues? Through practical automation know-how implemented with OpenClaw across Windows and Linux, we guide you on the shortest path to completing your own powerful remote development environment without complex configurations.
Beginner
LLM, AI, AI Agent
#1 OpenClaw: Creating Your Own AI Assistant
dakgangjung123
2 Days Only
14%
$6.60Beginner / LLM, AI, AI Agent, Linux, vmware, openclaw
4.2
(17)
<LLM: Learning by Building from Scratch> Commentary Lecture
haesunpark
Basic / PyTorch, gpt-2, transformer, LLM, Fine-Tuning
4.8
(26)
This course covers the GitHub notebooks and bonus content for <Building an LLM from Scratch> (Gilbut, 2025). GitHub: https://github.com/rickiepark/llm-from-scratch/ <Building an LLM from Scratch> is the Korean translation of the bestseller <Build a Large Langauge Model (from Scratch)> (Manning, 2024) written by Sebastian Raschka. Starting from scratch and building a complete version of OpenAI’s GPT-2 model, this book provides a way to learn how large language models work and how to use them.
Basic
PyTorch, gpt-2, transformer
<LLM: Learning by Building from Scratch> Commentary Lecture
haesunpark
Basic / PyTorch, gpt-2, transformer, LLM, Fine-Tuning
4.8
(26)
![[PyTorch] Learn NLP easily and quicklyCourse Thumbnail](https://cdn.inflearn.com/public/courses/325056/course_cover/b66025dd-43f5-4a96-8627-202b9ba9e038/pytorch-nlp-eng.png?f=avif&w=420)
[PyTorch] Learn NLP easily and quickly
coco
Intermediate / Deep Learning(DL), Artificial Neural Network, PyTorch, NLP
4.3
(20)
This course covers basic natural language processing techniques and various text tasks using deep learning.
Intermediate
Deep Learning(DL), Artificial Neural Network, PyTorch
[PyTorch] Learn NLP easily and quickly
coco
Intermediate / Deep Learning(DL), Artificial Neural Network, PyTorch, NLP
4.3
(20)
![[NetMiner 4] News, Community Data Collection and Text Network AnalysisCourse Thumbnail](https://cdn.inflearn.com/public/files/courses/344065/cover/01m1bgzep3rqv8hygrqb8t0pjw?f=avif&w=420)
[NetMiner 4] News, Community Data Collection and Text Network Analysis
CYRAM NetMiner
Basic / Big Data, data-analysis, text-analysis, network-analysis, social-network, Text Mining
"How to Quickly Identify Social Opinion Trends! Training in News and Community Data Analysis" • News data contains important information such as the latest events, economic changes, political trends, and natural disasters, enabling companies or individuals to quickly identify and understand these changes. Online community data consists of text data containing users’ opinions and information on various topics, providing social and cultural insights. • News and community data, along with text analysis and text network analysis methods, can be used for various purposes, including market analysis, policy and decision-making, public response analysis, trend analysis, education and research, crisis response, and disaster management.
Basic
Big Data, data-analysis, text-analysis
[NetMiner 4] News, Community Data Collection and Text Network Analysis
CYRAM NetMiner
Basic / Big Data, data-analysis, text-analysis, network-analysis, social-network, Text Mining
Social Big Data Analysis Using Python
CYRAM NetMiner
Beginner / Python, Machine Learning(ML), Big Data, Text Mining, social-network, webcrawling, openAI API
This course uses Python, a programming language well suited for big data analysis, to directly collect, process, and analyze social big data from the web, social media, and other sources. Python programming exercises are conducted in a step-by-step, follow-along format, making it easy for humanities and social science researchers with no programming experience to learn. By completing this course, you will be able to master Python, collect data, and analyze big data.
Beginner
Python, Machine Learning(ML), Big Data
Social Big Data Analysis Using Python
CYRAM NetMiner
Beginner / Python, Machine Learning(ML), Big Data, Text Mining, social-network, webcrawling, openAI API
Local LLM Utilization Guide Part 1 - Using small LLM(sLLM) & Evaluating and Improving LLM Performance
AISchool
Intermediate / AI, LLM, LangChain, AI Agent, LangGraph
4.3
(3)
Learn how to utilize various local LLMs (Qwen, Gemma) and explore different techniques to efficiently evaluate and improve the performance of LLM systems.
Intermediate
AI, LLM, LangChain
Local LLM Utilization Guide Part 1 - Using small LLM(sLLM) & Evaluating and Improving LLM Performance
AISchool
Intermediate / AI, LLM, LangChain, AI Agent, LangGraph
4.3
(3)
