Utilizing Synthetic Intelligence (NLP) to construct a semantic textual content question API with BERT and RAG (LangChain/LLM)
What you’ll study
Implement semantic textual content search engine API utilizing S-BERT.
Implement a search engine API utilizing Retrieval-Augmented Era (RAG) and LLM.
Bootcamp for constructing a man-made intelligence API with sources utilized in corporations like Google.
Acquisition of data in Pure Language Processing (NLP) for textual content processing with Machine Studying.
Utilizing NLP instruments like NLTK, Spacy, Sentence Transformers for constructing search engine.
Utilizing NLP instruments like NLTK, Spacy, Sentence Transformers for constructing search engine.
Fingers on (sensible undertaking) in constructing an entire Synthetic Intelligence / Machine Studying undertaking in Python.
Develop an LLM agent utilizing LangChain.
English
language
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