Ajitesh Kumar

machine learning generative ai data science artificial intelligence data analysis deep learning llms innovation large language models natural language processing neural networks chatgpt openai transformer architecture language modelling text analytics text generation sentiment analysis text summarization analytical thinking problem-solving decision-making critical thinking logical reasoning creative solutions personal development professional development career advancement product product management design thinking products design creativity data analytics business analytics business intelligence kpis data-driven decision making patterns & trends use cases business goals impact analysis data insights actionable insights data visualization metrics nlp ai concerns bias in ai misinformation in ai job displacement privacy risks control in ai overreliance on ai unintended consequences environmental impact ethical considerations ai ethics ai governance responsible ai ai transparency ai accountability ai impact on society ai and job loss gpt-3 models language generation language models gpt-4 models nlp applications language translation learning and development problem discovery hypothesis testing supervised learning unsupervised learning reinforcement learning generalization overfitting bias-variance tradeoff occam's razor predictive modeling model evaluation scikit-learn pandas outlier detection data exploration data preprocessing hyperparameter tuning regression analysis classification analysis feature extraction prompts ai risks text analysis