<ul><li>AI has become a mainstream force reshaping industries and society, leading to the need for AI engineers and product managers to ground themselves in core concepts and terminologies.</li><li>The blog aims to help AI practitioners understand the foundational ideas and shared language of the field to navigate the rapidly evolving space of AI and machine learning.</li><li>It provides an enriched glossary covering key terms such as AI, machine learning (ML), deep learning (DL), neural networks, transformers, and language models.</li><li>The blog also delves into topics like model inference, domain adaptation, input crafting, hallucination, multi-modal models, agents, intermediate steps demonstration, and lightweight finetuning methods in AI.</li></ul>

AI: Practical Guide for AI Engineers & Product Managers

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