Exploring Basic Prompts with Language Models

Exploring Basic Prompts with Language Models

Now that we have understood and set up our accounts for different large language models, including chart GPT, the next thing we’re going to do in this section is start working with some of the most basic prompts that we can use with these large language models. This chapter will help us build our Baseline that we can further work on as we explore more advanced prompting techniques.

So, what are some of the most basic prompts and prompting tasks that we can ask our GPT or Bard to do for us?

  1. Summarization: We can give the model a long-form content and ask it to summarize it for us, condensing it into a few lines or words.

  2. Information Extraction: We can provide these models with a lot of data and ask them specific questions that can be answered based on the information provided. The models can extract that information from the data.

  1. Question and Answering: We can ask the model specific questions and it will provide us with the answers based on the context we provide.

  2. Text Classification: The model can classify text into different categories, such as good, bad, or neutral.

  3. Sentiment Analysis: The model can read a paper or text and provide adjectives to describe it, such as angry, funny, or sad.

  4. Conversation: ChatGPT can converse with humans in a very human-like format. We can have a conversation with it about any topic in the world and it will try to continue the conversation with us.

  5. Code Generation: We can use these large language models to generate code. Even if you’re new to coding, you can learn and understand how coding works by using these models. The models can write the code for you based on the instructions you provide.

  6. Reasoning: The models are very good at reasoning. They can solve word problems and use their reasoning capability to answer questions based on the information provided.

In this section, we will explore each of these topics in detail and see how ChatGPT and Bard respond to different questions. Let’s dive into the course!

Question Answering: A Model's Ability to Infer from Context
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Question Answering: A Model's Ability to Infer from Context

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