Python標準ライブラリのhttp.clientライブラリを使用して同じ結果を得る方法の例を示します：

```python
import http.client

conn = http.client.HTTPConnection("ifconfig.me")
conn.request("GET", "/")
response = conn.getresponse()
print(response.read().decode())
```

標準ライブラリのhttp.clientライブラリを使用して、OpenAIのGPT-3 APIのような大規模な言語モデルのAPIエンドポイントにリクエストする方法を示す例を示します。このコードはAPIによって生成されたテキストを取得します。

```python
import http.client
import json

conn = http.client.HTTPSConnection("api.openai.com")

payload = json.dumps({"prompt": "What is machine learning?"})

headers = { 'Content-Type': 'application/json', 'Authorization': 'Bearer <YOUR_API_KEY>' }

conn.request("POST", "/v1/engines/text-davinci-002/jobs", payload, headers)

res = conn.getresponse()
data = res.read()

text = json.loads(data.decode("utf-8"))['choices'][0]['text']
print(text)
```

このコードを実行するには、<YOUR_API_KEY>を有効なAPIキーに置き換える必要がある。
Here's an example of how you can achieve the same result using the http.client library from the Python Standard Library:

python

import http.client

conn = http.client.HTTPConnection("ifconfig.me")
conn.request("GET", "/")
response = conn.getresponse()
print(response.read().decode())


Here's an example that shows how to use the http.client library in the standard library to make a request to an API endpoint of a large language model, such as OpenAI's GPT-3 API. This code will retrieve text generated by the API.

python

import http.client
import json

conn = http.client.HTTPSConnection("api.openai.com")

payload = json.dumps({"prompt": "What is machine learning?"})

headers = { 'Content-Type': 'application/json', 'Authorization': 'Bearer <YOUR_API_KEY>' }

conn.request("POST", "/v1/engines/text-davinci-002/jobs", payload, headers)

res = conn.getresponse()
data = res.read()

text = json.loads(data.decode("utf-8"))['choices'][0]['text']
print(text)
Note that you would need to replace <YOUR_API_KEY> with a valid API key in order to run this code.