Grokは、Elon Muskによって設立された人工知能会社であるXaiが開発した高度なAIモデルです。多くの主流の言語モデルとは異なり、GrokはChatGpt(Openai)またはClaude(人類による)と比較して、より制限が少なく、その応答がよりオープンになるように設計されています。これは、公平で真実を求めるAI体験を提供することを目的としており、今日利用可能な最も強力で独特の大規模な言語モデル(LLM)の1つになります。 Grok 2などのGrokモデルを使用すると、ビジョン機能、テキストからテキストなどを探索できます。 Grok 2は、その前任者と同様に、動的な会話に従事し、複雑な質問に答え、創造的なコンテンツを生成しながら、論理的および事実に基づいたアプローチを維持するように訓練されています。
Grok-2は、Elon MuskのXaiが開発したGrokチャットボットの拡張バージョンです。それは、よりユーザーフレンドリーで、適応性があり、質問に答えること、執筆の支援、コーディングの課題への取り組みに習熟するように設計されています。
重要な機能と機能:
だから、Grokが直接画像を作成しているように見えるかもしれませんが、実際に舞台裏で流動を活用しています。
GROK 3のリリース:これがすべてを変える理由ろ過されていない洞察と生の知性を提供するフラッグシップLLM。
grok-2-vision-1212:ドキュメントや写真などの多様な視覚入力の処理に優れている最新の画像理解LLM。
これにより、使用するモデルのAPIキーが設定されます。
ハンズオングロック2モデル
output
入力コスト(プロンプトトークン)
import os from openai import OpenAI From dotenv import load_dotenv load_dotenv() GROK_API_KEY=os.getenv(“GROK_API_KEY”) client = OpenAI( api_key= GROK_API_KEY, base_url="https://api.x.ai/v1", ) completion = client.chat.completions.create( model="grok-2-latest", messages=[ {"role": "system", "content": "You are a Python progamminmg language expert."}, {"role": "user", "content": "How can a beginner read and parse a JSON file in Python? You can teach them using examples"}, ], ) print(completion.choices[0].message.content)
したがって、このリクエストは約0.00721ドル(または約0.72セント)です。 画像の理解:ビジョンモデル
import os from openai import OpenAI From dotenv import load_dotenv load_dotenv() GROK_API_KEY=os.getenv(“GROK_API_KEY”) client = OpenAI( api_key= GROK_API_KEY, base_url="https://api.x.ai/v1", ) completion = client.chat.completions.create( model="grok-2-latest", messages=[ {"role": "system", "content": "You are a Python progamminmg language expert."}, {"role": "user", "content": "How can a beginner read and parse a JSON file in Python? You can teach them using examples"}, ], ) print(completion.choices[0].message.content)
入力画像
To help a beginner read and parse a JSON file in Python, let's go through the process step-by-step with examples. We'll use the `json` module, which is part of Python's standard library, making it easy to work with JSON data. Here's how you can read and parse a JSON file: 1. First, we need to import the `json` module. 2. Then, we'll open the JSON file and use `json.load()` to parse its contents. 3. Finally, we can access and use the parsed data. Let's see this in action with an example: ```python # Import the json module import json # Open and read the JSON file with open('example.json', 'r') as file: # Parse the JSON data data = json.load(file) # Now we can work with the data print(data) # Accessing specific elements (assuming the JSON structure) print(data['name']) print(data['age']) # If it's a list of objects for item in data: print(f"Name: {item['name']}, Age: {item['age']}") ``` Let's break down what's happening: 1. We import the `json` module, which provides functions to work with JSON data. 2. We use a `with` statement to open the file. This ensures the file is properly closed after we're done with it. 3. We use `json.load(file)` to read and parse the JSON data from the file. This function automatically converts the JSON data into a Python object (usually a dictionary or a list). 4. After parsing, `data` now contains the JSON content as a Python object. We can print it or access its elements. 5. Depending on the structure of your JSON, you can access elements using dictionary syntax (`data['key']`) or list indexing. Here's an example of what the `example.json` file might look like: ```json { "name": "John Doe", "age": 30, "city": "New York" } ``` Or, if it's a list of objects: ```json [ {"name": "John Doe", "age": 30}, {"name": "Jane Smith", "age": 25} ] ``` For beginners, here are some important points to remember: - JSON files typically have a `.json` extension. - JSON data can be a single object (like a dictionary) or an array (like a list). - You need to know the structure of your JSON to access its elements correctly. - If you encounter errors, it's often because the JSON file is not properly formatted or you're trying to access elements that don't exist. To practice, beginners can create their own JSON files and try parsing them. They can also use online JSON validators to ensure their files are correctly formatted before attempting to parse them in Python.
output
if completion.usage: print(completion.usage.to_json())
{<br>"completion_tokens": 713,<br>"prompt_tokens": 40,<br>"total_tokens": 753,<br>"prompt_tokens_details": {<br>"audio_tokens": 0,<br>"cached_tokens": 0,<br>"text_tokens": 40,<br>"image_tokens": 0<br>}<br>}
import os from openai import OpenAI from getpass import getpass XAI_KEY = getpass('Enter Grok API Key: ')
テキストの入力コスト:
52トークン×($ 2.00 / 1,000,000)= $ 0.000104テキスト出力コスト:
483トークン×($ 10.00 / 1,000,000)= $ 0.00483output
チャットボットを作成してみましょう
os.environ['XAI_API_KEY'] = XAI_KEY image_url = ( "https://safarisafricana.com/wp-content/uploads/2020/05/Copy-of-SAFAF-2X1-images-60.jpg" ) client = OpenAI( api_key=XAI_KEY, base_url="https://api.x.ai/v1", ) messages = [ { "role": "user", "content": [ { "type": "image_url", "image_url": { "url": image_url, "detail": "high", }, }, { "type": "text", "text": """Please provide a detailed description of the contents in this image, including any notable objects, colors, patterns, and the overall scene. If there are any texts or symbols, please transcribe or interpret them as well.""", }, ], }, ] completion = client.chat.completions.create( model="grok-2-vision-latest", messages=messages, temperature=0.01, ) print(completion.choices[0].message.content)
The image depicts a vibrant and lush savanna scene, showcasing a variety of<br> wildlife in their natural habitat. Here is a detailed description:<br><br>### Animals:<br><br>1. **Giraffes**: There are three giraffes in the image, standing tall with<br> their long necks and distinctive spotted patterns. Their colors are<br> primarily light brown with orange-brown patches. They are positioned towards<br> the center and right side of the image.<br><br>2. **Zebras**: Several zebras are present, identifiable by their black and <br>white striped patterns. They are scattered across the scene, with some<br> standing and others grazing. Their stripes create a striking contrast <br>against the green grass.<br><br>3. **Antelopes/Deer**: There are multiple antelopes or deer-like animals,<br> with slender bodies and light brown coats. Some have white underbellies and<br> legs. They are smaller in size compared to the giraffes and zebras, and are<br> seen grazing or standing around.<br><br>### Vegetation:<br><br>- **Grass**: The ground is covered with lush green grass, indicating a<br> healthy and vibrant ecosystem.<br><br>- **Bushes and Trees**: There are various green bushes and small trees<br> scattered throughout the scene. In the background, there are larger trees,<br> including one with a broad canopy on the left side of the image.<br><br>### Colors:<br><br>- **Green**: Dominant color due to the grass, bushes, and trees.<br><br>- **Brown**: Seen in the giraffes' patches, antelopes' coats, and some parts<br> of the zebras.<br><br>- **Black and White**: The zebras' stripes.<br><br>- **Orange**: Subtle tones in the giraffes' patches.<br><br>### Patterns:<br><br>- **Giraffe Spots**: Irregular, orange-brown patches on a light brown<br> background.<br><br>- **Zebra Stripes**: Bold, black and white stripes with varying thickness.<br><br>- **Antelope/Deer**: Light brown with white underbellies and legs.<br><br>### Overall Scene:<br><br>The scene is set in a savanna or grassland environment, typical of African<br> landscapes. The animals are coexisting peacefully, suggesting a harmonious<br> ecosystem. The lighting suggests it might be daytime, with natural sunlight<br> illuminating the scene, enhancing the vividness of the colors.<br><br>### Texts or Symbols:<br><br>There are no visible texts or symbols in the image.<br><br>This image captures the essence of wildlife in a natural setting,<br> highlighting the diversity and beauty of the animals and their environment.
if completion.usage: print(completion.usage.to_json())
{<br>"completion_tokens": 483,<br>"prompt_tokens": 820,<br>"total_tokens": 1303,<br>"prompt_tokens_details": {<br>"audio_tokens": 0,<br>"cached_tokens": 0,<br>"text_tokens": 52,<br>"image_tokens": 768<br>}<br>}
以上がHands On Grok 2モデル:「Grok 2がオープンソースになるだろう」の詳細内容です。詳細については、PHP 中国語 Web サイトの他の関連記事を参照してください。