generative ai training in hyderabad

Generative AI and Industry Applications: Introduces Generative AI concepts, differentiates between AI, ML, DL, NLP, and explores various machine learning techniques and their applications. Natural Language Processing (NLP) & Deep Learning: Focuses on NLP tasks, text classification approaches, traditional machine learning models, and deep learning techniques like CNNs, RNNs, and Transformers. Generative AI Models: Delves into autoencoders, Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and their applications. Language Models & Transformer Models: Explores different types of language models, transformer architectures, and models like BERT, RoBERTa, and GPT variations. Prompt Engineering: Teaches principles and techniques of prompt engineering, crafting effective prompts for Large Language Models (LLMs), and prompt decomposition. Large Language Models (LLMs) & MLOps: Covers the development and deployment of LLMs, MLOps practices, and tools for managing machine learning workflows.