NLP Roadmap 2024: Step-by-Step Guide | Resources

preview_player
Показать описание
In this video, we will discuss how you can approach NLP, the step-by-step process you should follow, the resources you can refer to, and the kind of problems you can solve with NLP knowledge.

Step 1: Text Pre-Processing
Step 2: Text Representation
Step 3: Information Extraction
Step 4: Deep Learning for NLP
Step 5: Transformers and Transfer Learning
Step 6: Deploying NLP Models
Step 7: Embedding and Semantic Search
Step 8: Large Language Models (LLMs)
Step 9: Vector databases
Step 10: LLM Libraries:
LangChain: Your One-Stop Shop for LLM Applications
Llama Index: A Flexible Library for Data Augmentation and Indexing
Step 11: MLOps for NLP
Step 12: Relational Databases and SQL

🚀 Top Rated Plus Data Science Freelancer with 8+ years of experience, specializing in NLP and Back-End Development. Founder of FutureSmart AI, helping clients build custom AI NLP applications using cutting-edge models and techniques. Former Lead Data Scientist at Oracle, primarily working on NLP and MLOps.

💡 As a Freelancer on Upwork, I have earned over $100K with a 100% Job Success rate, creating custom NLP solutions using GPT-3, ChatGPT, GPT-4, and Hugging Face Transformers. Expert in building applications involving semantic search, sentence transformers, vector databases, and more.
Рекомендации по теме
visit shbcf.ru