Google cloud_Gen ai study jams GDSC 2023 2024

XAnLiFE 41 views 23 slides May 28, 2024
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About This Presentation

This is a gdsc gen ai study jams cloud event


Slide Content

Generative AI

Generative AI generate new data based on training samples. Generative AI models can generative Image, Text, Audio, Video etc. as Output.

Types of Generative Model Generative Image Model Generative Language Model

Types of Generation Model

Fundamentals-

Milestone Models -

Few Advance Topics-

LLM Timeline -

Thank You

Introduction to prompt design - Swagata Das

Prompt design  is the process of creating prompts that elicit the desired response from language models. Writing well structured prompts is an essential part of ensuring accurate, high quality responses from a language model.

What is a prompt A prompt is a natural language request submitted to a language model to receive a response back. Prompts can contain questions, instructions, contextual information, examples, and partial input for the model to complete or continue. After the model receives a prompt, depending on the type of model being used, it can generate text, embeddings, code, images, videos, music, and more.

How to Design a Prompt Zero-shot prompting One-shot prompting Few-shot prompting There is no best way to design the prompts yet. There are 3 methods you can use to shape the model's response:

For example, if you want the LLM to answer a question, you just prompt "what is prompt design?" Zero-shot prompting This is a method where the LLM is given only a prompt that describes the task and no additional data.

For example, if you want the LLM to write a poem, you might give it a single example poem. One-shot prompting This is a method where the LLM is given a single example of the task that it is being asked to perform.

For example, if you want the LLM to write a news article, you might give it a few news articles to read Few-shot prompting This is a method where the LLM is given a small number of examples of the task that it is being asked to perform.

Thank You