| Course Description | Details |
|---|---|
| Company Name | Udemy |
| Course Name | Comprehensive Natural Language Processing (NLP) Course |
| Coupon Code | SKILLUP2024_07 |
| Course Duration | 9.5 hours on-demand video |
| Access | Access on mobile and TV |
| Certificate | Full lifetime access |
Natural Language Processing, NLP, Generative AI, Huggingface, OpenAI, Vector Databases, RAG, Text Classification, Text Generation, Fine-tuning models, Data Augmentation
Unlock the potential of Natural Language Processing (NLP) and Generative AI with this comprehensive course. Learn from basics to advanced topics such as Huggingface models, fine-tuning models, vector databases, OpenAI API integration, prompt engineering, retrieval-augmented generation, data augmentation, and more. Ideal for developers looking to implement NLP models. Enroll now and get lifetime access!
What you’ll learn
- Introduction to Natural Language Processing (NLP)
- model implementation based on huggingface-models
- working with OpenAI
- Vector Databases
- Multimodal Vector Databases
- Retrieval-Augmented-Generation (RAG)
- Real-World Applications and Case Studies
- implement Zero-Shot Classification, Text Classification, Text Generation
- fine-tune models
- data augmentation
- Prompt Engineering
- Zero-Shot Promping
- Few-Shot Prompting
- Chain-of-Thought (Few-Shot CoT, Zero-Shot CoT)
- Self-Consistency Chain-of-Thought
- Prompt Chaining
- Tree-of-Thought
- Self-Feedback
- Self-Critique
- Claude 3
- Open Source Models, e.g. LLama 2, Mistral
This course includes:
- 9.5 hours on-demand video
- 3 articles
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Description
Join my comprehensive course on Natural Language Processing (NLP). The course is designed for both beginners and seasoned professionals. This course is your gateway to unlocking the immense potential of NLP and Generative AI in solving real-world challenges. It covers a wide range of different topics and brings you up to speed on implementing NLP solutions.
Course Highlights:
- NLP-Introduction
- Gain a solid understanding of the fundamental principles that govern Natural Language Processing and its applications.
- Basics of NLP
- Word Embeddings
- Transformers
- Apply Huggingface for Pre-Trained Networks
- Learn about Huggingface models and how to apply them to your needs
- Model Fine-Tuning
- Sometimes pre-trained networks are not sufficient, so you need to fine-tune an existing model on your specific task and / or dataset. In this section you will learn how.
- Vector Databases
- Vector Databases make it simple to query information from texts. You will learn how they work and how to implement vector databases.
- Tokenization
- Implement Vector DB with ChromaDB
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- Multimodal Vector DB
- OpenAI API
- OpenAI with ChatGPT provides a very powerful tool for NLP. You will learn how to make use of it via Python and integrating it in your workflow.
- Prompt Engineering
- Learn strategies to create efficient prompts
- Advanced Prompt Engineering
- Few-Shot Prompting
- Chain-of-Thought
- Self-Consistency Chain-of-Thought
- Prompt Chaining
- Reflection
- Tree-of-Thought
- Self-Feedback
- Self-Critique
- Retrieval-Augmented Generation
- RAG Theory
- Implement RAG
- Capstone Project “Chatbot”
- create a chatbot to “chat” with a PDF document
- create a web application for the chatbot
- Open Source LLMs
- learn how to use OpenSource LLMs
- Meta Llama 2
- Mistral Mixtral
- Data Augmentation
- Theory and Approaches of NLP Data Augmentation
- Implementation of Data Augmentation
- Miscellanious
- Claude 3
- Tools and LLM-Function
Who this course is for:
- Developers who want to apply NLP-models
How to Get this course FREE?
Get a 100% Discount On Udemy courses by clicking on the Apply Here Button. This Course coupon code is automatically added to the Apply Here Button.
Apply this Coupon: SKILLUP2024_07 is applied (For 100% Discount)
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Note: The udemy Courses Will be free for a Maximum of 1000 Learners can use the promo code AND Get this course for 100% Free. After that, you will get this course at a discounted price.
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