DeepMind's AlphaCode - Better Than OpenAI Codex?

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Information Technology (IT), Architecture
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University
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary focus of DeepMind's AlphaCode model?
Developing chatbots
Creating art using AI
Solving competitive programming problems
Generating code for web development
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does AlphaCode differ from OpenAI's Codex?
AlphaCode is designed for image recognition
AlphaCode is a chatbot
AlphaCode is used for creating music
AlphaCode focuses on competitive programming
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key component of AlphaCode's training process?
Using handwritten notes
Training on social media posts
Pretraining on public GitHub code
Using private company data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the clustering algorithm in AlphaCode?
To create new programming languages
To group similar solutions based on outputs
To design user interfaces
To generate random code snippets
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does AlphaCode filter potential solutions?
By using a random selection process
By choosing the most complex solution
By selecting the shortest code
By checking against example test cases
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the performance of AlphaCode in simulated contests?
It performed as well as the median participant
It outperformed all human participants
It was not tested in contests
It failed to solve any problems
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What resource did DeepMind release to aid in benchmarking?
A book on AI ethics
A guide to competitive programming
A dataset of competitive programming problems and solutions
A new programming language
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