Large Language Models (LLMs) like GPT-4 are trained on massive text data to understand and generate language.
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ChatGPT & Large Language Models
Lesson 2 of 17
Intermediate
Interactive
Syntax
AI
from openai import OpenAI
client = OpenAI(api_key="your-key")
response = client.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)
Simple Text Generation
PYTHON
import random # Simple markov chain text generator def build_chain(text): words = text.split() chain = {} for i in range(len(words) - 1): key = words[i] if key not in chain: chain[key] = [] chain[key].append(words[i + 1]) return chain def generate(chain, length=20): word = random.choice(list(chain.keys())) result = [word] for _ in range(length - 1): if word in chain: word = random.choice(chain[word]) result.append(word) return " ".join(result) text = "the cat sat on the mat the dog ran in the park" chain = build_chain(text) print(generate(chain))
Practice
1
Exercise
Practice this concept.
Answer
Write the code as shown above.
Quick Quiz
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What did you learn?
This covers the basics.
Interview Questions
It is a fundamental AI feature.