[doctest] Fixes (#35863)

doctest fixes

docs/source/en/tasks/prompting.md

@@ -80,7 +80,7 @@ Run inference with decoder-only models with the `text-generation` pipeline:
 >>> prompt = "Hello, I'm a language model"
 
 >>> generator(prompt, max_length = 30)
-[{'generated_text': "Hello, I'm a language model programmer so you can use some of my stuff. But you also need some sort of a C program to run."}]
+[{'generated_text': "Hello, I'm a language model. Not a programming language at all: it's pretty simple.\n\nWhen I write a function, I mean"}]
 ```
 
 To run inference with an encoder-decoder, use the `text2text-generation` pipeline:
@@ -258,7 +258,7 @@ also be a suitable location for instructions. Typically, it's better to place th
 
 >>> for seq in sequences:
 ...     print(f"{seq['generated_text']}")
-Permaculture is an ecological design mimicking natural ecosystems to meet basic needs and prepare for climate change. It is based on traditional knowledge and scientific understanding.
+"Permaculture is an ecological design method that mimics natural ecosystems' diversity, functionality, and resilience using modern technology and indigenous knowledge. It aims to help"
 ```
 
 #### Question answering
@@ -284,7 +284,7 @@ the leading word or phrase (`"Answer:"`) to nudge the model to start generating
 
 >>> for seq in sequences:
 ...     print(f"Result: {seq['generated_text']}")
-Result: Modern tools often used to make gazpacho include
+"Result: Modern tools are used, such as immersion blenders"
 ```
 
 #### Reasoning
@@ -309,7 +309,7 @@ Let's try if we can make a model reason about a simple arithmetics task with a b
 >>> for seq in sequences:
 ...     print(f"Result: {seq['generated_text']}")
 Result: 
-There are a total of 5 groups, so there are 5 x 4=20 students in the class.
+There are a total of 50 students in the class (5 groups x 4 students per group = 20 groups, and 
 ```
 
 Correct! Let's increase the complexity a little and see if we can still get away with a basic prompt: