Llama3.3-70B

Explain how transformers work in simple terms and give a real-world analogy.

Transformers process text by modeling relationships between tokens in parallel
rather than strictly one by one...

A simple analogy is a group discussion where each person listens to everyone
else to understand the full context before responding.

Write a Python function to check if a number is prime and explain the logic.

def is_prime(n):
    if n <= 1:
        return False
    for i in range(2, int(n ** 0.5) + 1):
        if n % i == 0:
            return False
    return True

# This function checks divisibility only up to the square root of n,
# which improves efficiency.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://ap-1.aieev.cloud/endpoints/llama3-3-70b/v1"
)

response = client.chat.completions.create(
    model="meta-llama/Meta-Llama-3.3-70B-Instruct",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

curl https://ap-1.aieev.cloud/endpoints/llama3-3-70b/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/Meta-Llama-3.3-70B-Instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://ap-1.aieev.cloud/endpoints/llama3-3-70b/v1",
});

const response = await client.chat.completions.create({
  model: "meta-llama/Meta-Llama-3.3-70B-Instruct",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(response.choices[0].message.content);