Learn to use AI and let it become your expert helper

✍For readers: software engineers, architects, IT professionals, designers, etc.

✍Objective of the article: to help you learn to use AI correctly, let it play the role of an expert, and give you more professional advice

✍Column : Artificial Intelligence Tool Practice

overview

Accelerating Machine Learning Models Using TPUs

Guidelines for Safe Tree Cutting

Tips for Writing Expert Help Tips

Summarize


ChatGPT can help us learn new programming languages, courses, technologies and skills. It has become the tool of choice for many professionals looking to improve their workflow or learn something new. ChatGPT Expert Help Tips can reduce our dependence on Google and provide detailed plans to achieve our goals.

In this article, you'll learn how to use simple ChatGPT tips to learn a technique or perform a specialized task. Specifically, you will learn how to:

  • Generate instructions to train a model on a TPU (Tensor Processing Unit).
  • Generates detailed instructions for safely felling trees.
  • Craft expert helper tips.

overview

This article is divided into three parts; they are

  • Accelerating Machine Learning Models Using TPUs
  • Guidelines for Safe Tree Cutting
  • Tips for Writing Expert Help Tips

Accelerating Machine Learning Models Using TPUs

In this first example, you'll tackle a specialized problem that many data scientists may not be aware of. To speed up machine learning model training, most engineers currently use a GPU (graphics processing unit) or multiple GPUs. However, TPU (Tensor Processing Unit) can provide faster training time. You may not find many instructions for using the TPU, but you can ask ChatGPT for help by writing the right hints.

In your prompt you should define:

  • Actor : ChatGPT should behave like a professional machine learning engineer.
  • Request : Write code to train an image classifier on a TPU.
  • Environment : Google Colab.

For example, a prompt could be as follows:

Work as a professional machine learning engineer, writing Python code to train TensorFlow image classification models on TPUs. The computing environment is Google Colab.

This is the output you can see from ChatGPT's response:

import tensorflow as tf
 
# Check if TPU is available
try:
    tpu = tf.distribute.cluster_resolver.TPUClusterResolver()  # TPU detection
    tf.config.experimental_connect_to_cluster(tpu)
    tf.tpu.experimental.initialize_tpu_system(tpu)
    strategy = tf.distribute.experimental.TPUStrategy(tpu)
    print("Running on TPU:", tpu.master())
except ValueError:
    strategy = tf.distribute.OneDeviceStrategy("GPU")
    print("Running on GPU or CPU")
 
# Load and preprocess your dataset
# Replace `your_dataset` with your own dataset loading and preprocessing code
 
# Define the model architecture
# Replace `your_model` with your own model architecture
 
# Compile the model
# Replace `your_loss`, `your_metrics`, and `your_optimizer` with appropriate values
with strategy.scope():
    model = your_model
    model.compile(loss=your_loss, metrics=your_metrics, optimizer=your_optimizer)
 
# Define training parameters
# Replace `your_epochs` and `your_batch_size` with appropriate values
epochs = your_epochs
batch_size = your_batch_size
 
# Train the model
# Replace `your_training_data` with your own training data
model.fit(your_training_data, epochs=epochs, batch_size=batch_size)
 
# Evaluate the model
# Replace `your_test_data` with your own test data
loss, accuracy = model.evaluate(your_test_data)
print("Test loss:", loss)
print("Test accuracy:", accuracy)
The ChatGPT sample demonstrates how to train a model on a TPU by generating Python code with placeholders. For the code to execute correctly, you must replace the placeholders with dataset loading and preprocessing code, model architecture, loss functions, evaluation metrics, optimizers, training parameters, training data, and test data.

After replacing the code, you can copy and paste it into a new Colab notebook and run the code with TPU hardware acceleration. The code you obtain may not be fully executable and may contain bugs. However, you should be able to easily identify and correct them.

Note:  ChatGPT's output is not always correct. You must use other means to verify accuracy.

Guidelines for Safe Tree Cutting

In the second example, you'll focus on the non-technical skills needed to safely cut down trees. To get a proper description, you must provide enough context in the prompt, such as:

  • Cast:  ChatGPT should behave like an experienced professional arborist.
  • REQUIREMENTS : List the steps required to safely cut down a tree.
  • Setting : The tree is a Box Elder, 50 feet tall, between two houses.
  • Locations : Suburbs, Mountain View, and California.

For example, a ChatGPT tip could be:

Play as an experienced professional arborist and lay out the key safety procedures for removing a 50-foot maple tree between two houses in suburban Mountain View, California.

Here's what you might see in the output:

As an experienced professional arborist, I can provide you with a checklist of key safety procedures for removing a 50-foot box elder tree located between two homes in the suburbs of Mountain View, CA . It's worth noting that felling trees can be dangerous, and I highly recommend consulting a certified arborist or tree felling professional for this type of task. Nonetheless, here are some general safety procedures to consider:

  1. Conduct a Thorough Assessment : Before beginning the tree removal process, assess the condition of the tree, its potential hazards, and the surrounding area. Look for signs of rot, disease or structural defects that may affect the tree's stability.
  2. Obtain Necessary Permits : Consult with local authorities and obtain any permits or permits required to remove trees in Mountain View, CA. Compliance with local regulations is essential to ensure safety and avoid legal problems.
  3. Use Appropriate Personal Protective Equipment (PPE) : Wear appropriate personal protective equipment including hard hat, safety glasses, ear protection, gloves and sturdy non-skid boots. Personal protective equipment helps protect against falling debris and other potential hazards.
  4. Establish a safe zone : Clearly mark and secure the area around the tree to prevent unauthorized access. Use tape or barricades to keep pedestrians and vehicles away from the work zone.
  5. Equipment and Personnel Planning : Identify the necessary equipment, tools, and personnel needed to safely fell trees. This may include chainsaws, ropes, rigging equipment and an experienced crew.
  6. Employ proper pruning techniques : If necessary, perform tree pruning to remove dead branches or lighten the tree before the main removal process. Proper pruning techniques help prevent accidents and control the direction in which trees fall.
  7. Perform controlled tree felling : When felling trees, use proper cutting techniques to ensure a controlled fall. Consider the tree's slope, surrounding obstacles, wind direction, and other factors that may affect its fall path.
  8. Use rigging and lowering devices : If the tree's position poses a risk to nearby structures or obstructions, use rigging and lowering devices to safely control the tree's descent. This technology helps minimize the potential for property damage and injury.
  9. Deleting trees in segments : When dealing with larger trees, it is usually safer to delete them in segments. This involves carefully cutting smaller sections of the tree and lowering them to the ground, rather than trying to cut down the entire tree at once.
  10. Use Proper Tree Removal Techniques : Follow industry best practices for tree removal, including cutting precisely, avoiding excessive force, and maintaining control throughout the process. Be aware of potential hazards such as limb kickbacks and splitting wood.
  11. Consider hiring a professional : Given the complexity and potential risk of removing a tree 50 feet tall between two homes, it is highly recommended to hire the services of a certified arborist or an experienced tree removal company. Their expertise and specialized equipment will help ensure a safe and efficient removal process.

Keep in mind that tree removal can be very dangerous, especially when dealing with large trees or trees close to buildings. Always putting safety first is essential to protect yourself, your crew and surrounding property.

The resulting list covers many important security steps. However, removing a large tree like the one described is a complex task that may require specialized equipment, trained personnel, required permits, proper technique, knowledge of key details, and contingency planning. Even if you hire a professional, you'll need to know the location, size, and distribution of the trees before you can approve them.

In conclusion, it's probably not a good idea to follow ChatGPT's instructions for this type of work, although it provides a lot of details on how to do it. It may be a wiser decision to hire a certified arborist and an insured tree removal company for the job.

Tips for Writing Expert Help Tips

Imagine talking to a real professional lawyer or doctor - you don't walk in and say vaguely "I need help". You will thoroughly explain the who, what, where, why and how of your specific request. The same principle applies when using ChatGPT Expert Assistant.

To generate effective expert help tips with ChatGPT, give them as much relevant context as possible. explain:

  • The role or occupation of the specialist you need help with. Please be specific. Example: "Certified Arborist"
  • The nature of the task or request. Be clear, direct and provide key details. Example: "Safely remove this 50-foot tree between two houses."
  • Any variable, constraint, or condition that affects the situation. Provide measurements, locations and specifications as required.
    An environmental factor, situation, or obstacle that creates complexity.
  • The desired outcome or goal you wish to achieve.

The more accurate, specific, and robust the description of your scenario, the more precise and useful ChatGPT's responses are likely to be. ChatGPT's ability to simulate an "expert" is limited by the clarity and completeness of the information you provide to build context.

Summarize

In this post, we discuss how to craft ChatGPT expert help prompts to generate useful responses. Specifically, we cover:

  • How to write well-explained hints to speed up machine learning model training with TPUs.
  • How to generate a list of key safety procedures for tree removal. It's more complicated than you might think.
  • Tips for crafting more targeted prompts that provide a clear description of the task from the perspective of relevant experts, including necessary variables and clear goals.

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Origin blog.csdn.net/arthas777/article/details/132702428