WRITING

Answering an e-mail and writing an Argumentative Essay (9 January 2025)

READING COMPREHENSION

Reading Comprehension (continuation) 2 January 2025 (pages 115 to 120)

READING COMPREHENSION

Reading Comprehension ( 19 December 2024)

LISTENING TEST (CONTINUATION)

Listening Comprehension (continuation) 

- 12 December 2024

Listen to the audio tracks and answer the questions that follow

Reading Comprehension

Read the paragraphs below and try to conclude each one

LISTENING SKILL

Listening Comprehension ( 5 Dcember 2024)

Listen to the audio track

Ptactice 5, Part 1

and answer the questions that follow

https://drive.google.com/drive/folders/1DggMAjJk_vqvcbHd7iMxQVliVnCL4m22

Listen to the audio track

Practice 5, Part 2

and answer the questions that follow

https://drive.google.com/drive/mobile/folders/19VtJLX0z-5_YFkMD4WUnQo7ucqILMUSb

Listen to the audio track

Practice 5, Part 3

and answer the questions that follow

https://drive.google.com/drive/mobile/folders/1RuospmGRRy7LIfSOxuSR5D3gdk0_DK-3

Listen to the audio track

Practice 5, Part 4

and answer the questions that follow

https://drive.google.com/drive/mobile/folders/1xZt6PupXDE4_nZOqSyy22a-sdyPeXFCX

Prompting - Basic in AI Classroom Instructions

How to acquire the skills in prompting?

Let' ask the chatbot

Effective prompting is crucial for getting the most out of language models. Here's a breakdown of key strategies:

1. Be Clear and Specific:

• Avoid ambiguity: Instead of "Tell me about dogs," try "Describe the characteristics of a Golden Retriever." The more specific you are, the more relevant and accurate the response.
• Provide context: If you need the model to perform a specific task, clearly outline the context and desired outcome. For example, "Write a short story about a cat who goes on an adventure, focusing on themes of friendship and courage."

2. Use Proper Formatting:

• Structure your prompt: Break down complex tasks into smaller, more manageable steps. This helps the model understand your intentions.
• Use bullet points or numbered lists: This makes your prompt easier to read and process.
• Include examples: If you want the model to follow a specific format or style, provide examples.

3. Consider the Model's Capabilities:

• Understand limitations: Not all models are created equal. Some excel at specific tasks, while others struggle. Research the model's capabilities before crafting your prompt.
• Avoid overly complex tasks: Break down complex tasks into smaller, more achievable steps.

4. Iterate and Refine:

• Experiment: Try different phrasing and structures to see what yields the best results.
• Provide feedback: Let the model know if you're satisfied with the response or if it needs improvement. This helps the model learn and improve its performance.

Example:

Ineffective Prompt: Tell me about the history of the internet.

Effective Prompt:

• Provide Context: I'm writing a research paper on the history of the internet.
• Specific Request: Can you provide a brief summary of the key milestones in the development of the internet, focusing on the period between 1969 and 1995?
• Desired Format: Please present the information in a chronological order, using bullet points.

Remember, effective prompting is an iterative process. Experiment, refine your prompts, and provide feedback to get the most out of language models.

You want to hear the chatbot talking to you? Just ask!

SPEAKING SKILLS

17 October 2024

MUET Speaking Test Task 1 (individual)

Sample Answer