1. GenAI in view of Agents

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Generative language models learn about patterns in language through training data. Then, given some text, they predict what comes next.

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Generative AI - Simple Explanation https://youtu.be/G2fqAlgmoPo?si=SKk9q8Ybp_RGvbE1

• GenAl is a type of Artificial Intelligence that creates new content based on what it has learned from existing content.
• The process of learning from existing content is called training and results in the creation of a statistical model.
• When given a prompt, GenAl uses this statistical model to predict what an expected response might be-and this generates new content.

How GenAI Models (like Palm, GPT, Lambda etc.) works

Generative AI models are models trained to generate new data

Generative Image Model

Generative Language Model

Large Language Models - Simple Explaination https://youtu.be/zizonToFXDs?si=Q9vH4I_iQPTwGFbg

• LLMS are one type of Generative AI models, since it generates text in the form of natural sounding language

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Challenges

Hallucinations

Hallucinations are words or phrases that are generated by the model that are often nonsensical or grammatically incorrect.

What can cause this?

• The model is not trained on enough data
• The model is trained on noisy or dirty data
• The model is not given enough context
• The model is not given enough constraints

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Prompt Design & Engineering

Prompt

A short piece of text that is given to the large language model as input. It can be used to control the output of an LLM in variety of ways.

Prompt Design

The process of creating a prompt that would generate a desired output from a LLM

GenAI depends a lot on the training data that you have fed into it and it analyses the patterns and structures of the input data and thus learns

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GenAI Model applications

Agents built on top of GenAI (LLM) Models

• Agents are off type text-to-task model