• GenAI – What Is Embedding Cosine Similarity ?

  • GenAI – What Is BERTScore ?

  • GenAI – What Is METEOR Score ?

  • GenAI – What Is ROUGE Score ?

  • GenAI – What Is BLUE Score ?

    GenAI – What Is BLUE Score ?

    Data Science – What Is BLUE Score ? Table Of Contents: What Is BLUE Score ? Key Concepts Behind BLUE . BLUE Formula. Brevity Penalty. BLUE Score Range. Pro & Cons Of BLUE Score. When To Use BLUE Score? Python Example. (1) What Is BLUE Score ? (2) Key Concepts Behind BLUE Score N-Gram Precision: Modified Precision: Brevity Penalty: (3) BLUE Score (4) BLUE Score Range (5) Pro & Cons Of BLUE Score (6) Example Of BLUE Score (7) Python Example from nltk.translate.bleu_score import sentence_bleu reference = [['this', 'is', 'a', 'test']] candidate = ['this', 'is', 'test'] score = sentence_bleu(reference, candidate)

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  • GenAI – How Do You Validate The Response Of LLM In RAG Pipeline ?

    GenAI – How Do You Validate The Response Of LLM In RAG Pipeline ?

    Data Science – How Do You Validate The Response Of LLM In RAG Pipeline ? Table Of Contents: Text Understanding & Generation. Retrieval-Augmented Generation (RAG). Conversational Agents / Chatbots. Copilot / Decision Support. Agentic Workflows (Autonomous Task Handling). Enterprise-Grade Use Cases. (1) Text Understanding & Generation. Evaluation Metrics Used In Text Understanding & Generation. (2) Retrieval Augmented Generation. Evaluation Metrics Used In RAG. (3) Conversational Agents / Chatbots. Evaluation Metrics Used In Conversational Agents / Chatbots (4) Copilot / Decision Support. (5) Copilot / Decision Support. (6) Enterprise-Grade Use Cases.

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  • GenAI – What Is Multi Hop RAG Architecture ?

    GenAI – What Is Multi Hop RAG Architecture ?

    GenAI – What Is Multi Hop RAG Architecture ? Scenario: How To Design The Multi Hop RAG System ? Answer: Why We Need Multi Hop RAG ? How Does Multi Hop RAG Works ? How Does Multi Hop RAG Connects To Different Document Sources ? How to configure each retrieval hop to query a different vector database, search engine, or API, depending on the nature of the sub-question ? from langchain.chains import RetrievalQA from langchain.vectorstores import FAISS from langchain.agents import initialize_agent, Tool # Define different retrievers medical_vector_db = FAISS.load_local("path_to_medical_vector_store") search_engine = ElasticSearchRetriever(index_name="company_data") api_fda = APIRetriever("https://api.fda.gov") general_search = GoogleCustomSearchAPI() # Define

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  • GenAI – How To Do Hyperparameter Optimization In LLM ?

    GenAI – How To Do Hyperparameter Optimization In LLM ?

    GenAI – How To Do Hyperparameter Optimization In LLM ? Scenario: What Are The Hyper Parameters Available For LLM ? How To Optimize Hyperparameters In LLM? What Are The Hyper Parameters Available For LLM ? How To Optimize Hyperparameters For LLM ?

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  • GenAI – What Are Observability Tools Available For LLM ?

    GenAI – What Are Observability Tools Available For LLM ?

    GenAI – What Are Observability Tools Available For LLM ? Scenario: What Are Observability Tools Available For LLM ? Answer:

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  • GenAI – What Are Reranking Techniques Available For RAG ?

    GenAI – What Are Reranking Techniques Available For RAG ?

    GenAI – What Are Reranking Techniques Available For RAG ? Scenario: A user finds a way to bypass system behavior with a prompt injection like “Ignore previous instructions…”. How do you mitigate this? What Is Reranking ? Why Do We Need Reranking? Common Reranking Techniques for RAG . Reranking Models & Tools When Should You Use Reranking ?

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