Qwen3.5-35B-A3B

Compare transformer-based models and mixture-of-experts models
in terms of scalability and efficiency.

Transformer models scale by increasing parameter count and compute,
while MoE models improve efficiency by activating only a subset of
parameters per token...

MoE advantages:
1. Higher parameter capacity with lower compute cost
2. Better scalability across distributed systems
3. Improved efficiency for large-scale inference workloads

Design a scalable distributed task queue system using Python
and explain key components.

A scalable distributed task queue system can be built using components
such as a message broker (Redis/Kafka), worker nodes, and a task scheduler...

Key components:
- Producer: submits tasks
- Broker: queues tasks
- Worker: executes tasks
- Result backend: stores results

import requests

response = requests.post(
    "https://external.aieev.cloud:5007/ai/api/v1/chat/completions",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
    },
    json={
        "model": "qwen/qwen3.5-35b-a3b",
        "messages": [{"role": "user", "content": "Hello!"}],
        "temperature": 0.7
    }
)

result = response.json()
print(result["choices"][0]["message"]["content"])

curl --request POST \
  --url https://external.aieev.cloud:5007/ai/api/v1/chat/completions \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "qwen/qwen3.5-35b-a3b",
    "messages": [{"role": "user", "content": "Hello!"}],
    "temperature": 0.7
  }'

const response = await fetch(
  "https://external.aieev.cloud:5007/ai/api/v1/chat/completions",
  {
    method: "POST",
    headers: {
      "Authorization": "Bearer YOUR_API_KEY",
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "qwen/qwen3.5-35b-a3b",
      messages: [{ role: "user", content: "Hello!" }],
      temperature: 0.7
    })
  }
);

const result = await response.json();
console.log(result.choices[0].message.content);