RAG(Retrieval Augmented Generation) , Semantic Search , Real Worl Use Case Example : SmartRecruit скачать в хорошем качестве

RAG(Retrieval Augmented Generation) , Semantic Search , Real Worl Use Case Example : SmartRecruit

This video is part of Zero-to-Hero in NLP(Natural Language Processing),LLM(Large Language Model) and GenAI(GenerativeAI) 🎯Video Series Link:    • Natural Language Processing Specialization...   Welcome, everyone! Whatever domain you are working in, if you are building a Generative AI application—whether it's agentic or non-agentic—RAG, or Retrieval-Augmented Generation, will undoubtedly form the heart of your system. In this session we are going to implement a real world GenAI use case using RAG. Here we will use Semantic Search based retriever to implement SmartRecruit application, an cutting edge tool to help assist HR & Hiring manager to improve the overall hiring process. 🎯GitHub link to download code https://github.com/datasciencechampio... 🎯WHY RAG Colab notebook https://colab.research.google.com/dri... 🎯Embedding Concept | How Language Model Learns the Complexity of Human Language through Embedding    • Embedding Concept | How Language Model Lea...   🎯How Embedding Vector is generated | Pre-training Embedding Models | Learning Word2Vec and Skip-gram    • How Embedding Vector is generated | Pre-tr...   🎯What are available pre-trained Embdding models | Open Source Embedding models | Embedding model repo    • What are available pre-trained Embdding mo...   Happy Learning, Pramod Singh PGD - Data Science Data Science Specialist Founder: https://datasciencechampion.in GitHub:https://github.com/datasciencechampio... About me :   / pramod-singh-4635962