Shivam SolankiAutomating NL2SQL Execution Accuracy Measurements: QueryCraftStep 6B. A Step dedicated for capturing evaluation of Execution Accuracy in NL2SQLJun 10Jun 10
Shivam SolankiinTowards Generative AIEvaluation Framework for NL2SQL Generation: QueryCraftStep 6. Elevating Text2SQL with QueryCraft’s Cutting-Edge Evaluation FrameworkJun 10Jun 10
Shivam SolankiinTowards Generative AIQueryCraft: How to Ingest your own Data for NL2SQLStep 1. Data Ingestion in QueryCraft to Streamline SQL GenerationJun 10Jun 10
Shivam SolankiinTowards Generative AILLM Evaluation Toolkit for RAG PipelinesIntroducing a novel SuperKnowa framework for evaluating LLM-based RAG pipelines and automatically generating leaderboardAug 21, 2023Aug 21, 2023
Shivam SolankiinTowards Generative AIUnderstanding In-Context Learning for Language ModelsIn-context learning for RAG (Retrieval Augmented Generation) pipelineAug 11, 20231Aug 11, 20231
Shivam SolankiinTowards Generative AIImproving RAG (Retrieval Augmented Generation) Answer Quality with Re-rankerImplementing the Re-ranker algorithm in the RAG pipelineAug 4, 20232Aug 4, 20232
Shivam SolankiinTowards Generative AIUnleashing the Power of the Information Retriever in the Retrieval Augmented Generation PipelineExploring how an information retriever enhances generation capabilities in the RAG pipeline using different knowledge sourcesJul 24, 2023Jul 24, 2023
Shivam SolankiinTowards Generative AIOpenAI vs Watson NLP: Sentiment AnalysisExploring the Pros and Cons of OpenAI and Watson NLP for Sentiment Analysis TasksJul 10, 2023Jul 10, 2023
Shivam SolankiinTowards Generative AIOpenAI vs Watson NLP: Emotion and Tone AnalysisAnalyzing the Strengths and Weaknesses of OpenAI and Watson NLP in Emotion and Tone AnalysisJul 10, 2023Jul 10, 2023
Shivam SolankiinIBM Data Science in PracticeText Classification using Watson NLPLeverage the Watson NLP library to build the best classification models by combining the power of classic ML, Deep Learning, and…Nov 21, 2022Nov 21, 2022