1. Zero-Shot Prompting Zero-shot prompting involves generating a response without feeding the large language models any examples or prior context. This technique is ideal when you need quick answers to basic questions or general topics. Here’s an example of zero-shot prompting with ChatGPT-3.5...
Prompt: “Translate the following English text into French: ‘The cat is on the mat.’ Output: Few-Shot Prompting: Few-shot prompting allows you to provide a small amount of context or examples to help the model understand and generate more accurate responses. Example: Prompt: “Write a poe...
the something else really is an illness - some kidney disorder or an infection. Infections can usually be cured, and if you're suffering from an incurable one or from another serious condition, bad breath is the least of your problems. ...
When people are confronted with a challenging problem, they often break it down into smaller, more manageable pieces. For example, solving a complex math equation typically involves several substeps, each of which is essential to arriving at the final correct answer. CoT prompting asks an LLM to...
In the example below, the AI gets this wrong. However, by breaking down the problem into two discrete steps and asking the model to solve each one separately, it can reach the right (if weird) answer. Self-consistency Self-consistency is an advanced form of chain-of-thought prompting ...
Use the time series API to pass historical data observations to an IBM Granite time series foundation model that can forecast future values with zero-shot inferencing. The time series forecast method of the watsonx.ai API is available as a beta feature. For more information, see Forecast future...
Few-shot prompting or in-context learninggives the model a few sample outputs (shots) to help it learn what the requestor wants it to do. The learning model can better understand the desired output if it has context to draw on. Chain-of-thought prompting (CoT)is an advanced technique that...
Adaptive prompting is an emerging trend where AI models are being developed to adjust their responses based on the user's input style and preferences. This personalization approach aims to make interactions with AI more natural and user-friendly. For instance, if a user tends to ask concise ques...
Let us assume another task as an example for understanding the working mechanism of zero-shot prompting. Here is an example of a zero-shot prompt for summarizing text. Summarize the main concept in the following text in one line. The text for such zero-shot prompting examples could look like...
These contracts work through if-then logic; if a particular condition is met, then a corresponding action is triggered. Specialized blockchains such as Ethereum, BNB Smart Chain and Cardano provide safe environments for the execution of smart contracts. Smart contracts are typically written in prog...