Applied Generative AI and Natural Language Processing

Data science Development Free courses freecoupons Natural Language Processing (NLP)Udemy Courses free

COURSE AUTHOR –
Bert Gollnick

Last Updated on July 17, 2024 by GeeksGod

Course : Applied Generative AI and Natural Language Processing

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-IntroductionGain a solid understanding of the fundamental principles that govern Natural Language Processing and its applications.Basics of NLPWord EmbeddingsTransformersApply Huggingface for Pre-Trained NetworksLearn about Huggingface models and how to apply them to your needsModel Fine-TuningSometimes 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 DatabasesVector Databases make it simple to query information from texts. You will learn how they work and how to implement vector databases.TokenizationImplement Vector DB with ChromaDBMultimodal Vector DBOpenAI APIOpenAI 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 EngineeringLearn strategies to create efficient promptsAdvanced Prompt EngineeringFew-Shot PromptingChain-of-ThoughtSelf-Consistency Chain-of-ThoughtPrompt ChainingReflectionTree-of-ThoughtSelf-FeedbackSelf-CritiqueRetrieval-Augmented GenerationRAG TheoryImplement RAGCapstone Project “Chatbot”create a chatbot to “chat” with a PDF documentcreate a web application for the chatbotOpen Source LLMslearn how to use OpenSource LLMsMeta Llama 2Mistral Mixtral Data AugmentationTheory and Approaches of NLP Data AugmentationImplementation of Data Augmentation MiscellaniousClaude 3Tools and LLM-Function

Udemy Coupon :

SKILLUP2024_07

How to apply udemy coupons ? Click here.

What you will learn :

1. Introduction to Natural Language Processing (NLP)
2. model implementation based on huggingface-models
3. working with OpenAI
4. Vector Databases
5. Multimodal Vector Databases
6. Retrieval-Augmented-Generation (RAG)
7. Real-World Applications and Case Studies
8. implement Zero-Shot Classification, Text Classification, Text Generation
9. fine-tune models
10. data augmentation
11. Prompt Engineering
12. Zero-Shot Promping
13. Few-Shot Prompting
14. Chain-of-Thought (Few-Shot CoT, Zero-Shot CoT)
15. Self-Consistency Chain-of-Thought
16. Prompt Chaining
17. Tree-of-Thought
18. Self-Feedback
19. Self-Critique
20. Claude 3
21. Open Source Models, e.g. LLama 2, Mistral