What are AI agents? What is Generative AI? Microsoft definitions:

Rada Vassil
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Agents are called different names based on the jobs they do: Chatbot: An agent built to answer questions. Chatbots are typically grounded in users’ own data, like company documents. Copilot: An agent built to work alongside users. Copilots help users complete tasks by providing recommendations that users choose to either accept or reject (e.g. writing emails or creating office docs). Autonomous Agent: An agent built to handle repetitive tasks. They respond to events and perform actions without needing intervention. This is different from a copilot in that it’s doing work for you instead of alongside you. Generative AI: AI focused on creating content like images, text, code, and synthetic data. Generative AI has the following design patterns: Prompt Engineering: Crafting specialized prompts to guide LLM behavior Retrieval Augmented Generation (RAG): Combining an LLM with external knowledge retrieval Fine-tuning: Adapting a pre-trained LLM to specific data sets of domains Pre-training: Training an LLM from scratch

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Gurkaran Singh
AI agents, like chatbots, copilots, and autonomous agents, are like your digital sidekicks – answering questions, working alongside you, or handling repetitive tasks. Generative AI, on the other hand, is the creative genius of the AI world, whipping up text, images, code, and more with flair and finesse. It's like having a high-tech Picasso in your virtual toolbox!
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