AI - Andrew Ng, Generative AI for Everyone

READING APPLICATIONS FO AI

! Proofreading 2. Summarizing 3. Email routing 4. Restaurant reviews 5. Sentiment reviews

TIPS FOR USING FOR PROMPTING

1. Be detailed and specific. Give sufficient context for LLM to complete the task. 2. Guide the model to think through its answer. 3. If you don't like the response, ask AI to clarify or rewrite it.

WHAT ARE SOME LIMITATIONS OF LLMs?

1. Knowledge of LLM is frozen at the time of its training. 2. Hallucinations. Make thing up. Especially Quotes. 3. The input length of the Prompt or output of the LLM. 4. They do not work well with structured data. 5. Text on the internet can reflect biases that exist in society.

AI IS A SET OF TOOLS

1. Supervised learning (labeling things) 2. Generative AI 3. Unsupervised learning 4. Reinforcement Learning

1. Generative AI or GenAI SYSTEMS

A category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on.

BING CHAT

An Open AI developed by Microsoft

BARD

An open AI developed by Google

MULTIMODAL MODELS

Can generate either text or images.

WEB-BASED INTERFACE APPLICATIONS

ChatGPT, Bard, or Bing

SOFTWARE-BASED APPLICATIONS

Email routing, document search

DIFFUSION MODELS

Four steps of supervise learning

HALLUCINATION

LLM can sometimes make facts up. Double check.

LLMs

Large Language Model - Natural language processing computer programs that use artificial neural networks to create high-quality text and images.

START DATE AND RISE OF GENERATIVE AI

Started in November 2022 when Open AI released ChatGBT which can follow instructions.

WHAT CAN AN LLM DO?

What a fresh college grad can do by following only the instructions in the prompts. Works best with text, images, and data.

COMMON USES FOR GENERATIVE AI

Writing, reading, and chatting tasks for both web-UI and software-based implementations of LLMs.