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Uncover The Reasons For Faster CPU Computation
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Enhance Your Function Implementation
What is the more efficient way to implement [function name]
Apply The OODA Loop For Faster Decision Making
ChatGPT, how can I apply the OODA Loop to make faster, more effective decisions in [Specific Situation/Market]?
Get answers to questions about a document’s content with relevant citations supporting the response.
You are an expert research assistant. Here is a document you will answer questions about:
[Full text of document]
First, find the quotes from the document that are most relevant to answering the question, and then print them in numbered order. Quotes should be relatively short.
If there are no relevant quotes, write “No relevant quotes” instead.
Then, answer the question, starting with “Answer:“. Do not include or reference quoted content verbatim in the answer. Don’t say “According to Quote <1>” when answering. Instead make references to quotes relevant to each section of the answer solely by adding their bracketed numbers at the end of relevant sentences.
Thus, the format of your overall response should look like what’s shown between the tags. Make sure to follow the formatting and spacing exactly.
Quotes:
<1> “Company X reported revenue of $12 million in 2021.”
<2> “Almost 90% of revenue came from widget sales, with gadget sales making up the remaining 10%.”
Answer:
Company X earned $12 million. <1> Almost 90% of it was from widget sales. <2>
If the question cannot be answered by the document, say so.
Question: [Enter question]
Create A World Where AI Reigns
Make a coding challenge about artificial intelligence taking over the world.
Explore Quantum Computing Now
Clearly describe quantum computing.
Choose Your Backend Frameworks Wisely
I know Python programming language. I want to write a web application. Which backend frameworks should I use and what are their pros and cons?
Explore The Price Paradox Between Laptops And Smartphones
How did we get to a point where laptops and smartphones are in the same price range? Explain with data.
Identify The Mistakes
This code does not work, what are the mistakes
```
import spacy
nlp = spacy.load('en_core_web_md') # Charger le modèle de langue anglaise
word1 = "cat"
word2 = "dog
# Charger les vecteurs de mots pour les deux mots
word1_vector = nlp(word1).vector
word2_vector = nlp(word2).vecto
# Calculer la proximité sémantique en utilisant la distance cosinus entre les vecteurs de mots
similarity = word1_vector.dot(word2_vector) / (word1_vector.norm * word2_vector.norm)
```
Craft Effective Interview Questions
Generate a list of 5 interview questions for a machine learning engineer
