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Nexus Raven 是一個設計用於函數呼叫任務的 130 億參數模型。
此模型已更新至 NexusRaven-V2，是一個更新的開源且商業上可行的函數呼叫模型
- 多功能函數呼叫能力：能夠在許多具挑戰性的情況下生成單一函數呼叫、巢狀呼叫和平行呼叫。
- 完全可解釋：能夠為其生成的函數呼叫產生非常詳細的解釋。此行為可以關閉，以在推論期間節省 tokens。
- 效能亮點：在涉及巢狀和複合函數的人工生成用例中，函數呼叫成功率超越 GPT-4 高達 7%。
- 推廣到未見事物：從未在評估中使用的函數上進行訓練。
- 商業上允許：訓練不涉及任何由專有 LLM（如 GPT-4）生成的數據。當部署在商業應用程式中時，您可以完全控制模型。
範例提示
Function:
def get_weather_data(coordinates):
"""
Fetches weather data from the Open-Meteo API for the given latitude and longitude.
Args:
coordinates (tuple): The latitude of the location.
Returns:
float: The current temperature in the coordinates you've asked for
"""
Function:
def get_coordinates_from_city(city_name):
"""
Fetches the latitude and longitude of a given city name using the Maps.co Geocoding API.
Args:
city_name (str): The name of the city.
Returns:
tuple: The latitude and longitude of the city.
"""
User Query: {query}<human_end>
這將產生類似於以下的響應
Call: get_weather_data(coordinates=get_coordinates_from_city(city_name='Seattle'))<bot_end>
Thought: The function call `get_weather_data(coordinates=get_coordinates_from_city(city_name='Seattle'))` answers the question "What's the weather like in Seattle right now?" by following these steps:
1. `get_coordinates_from_city(city_name='Seattle')`: This function call fetches the latitude and longitude of the city "Seattle" using the Maps.co Geocoding API.
2. `get_weather_data(coordinates=...)`: This function call fetches the current weather data for the coordinates returned by the previous function call.
Therefore, the function call `get_weather_data(coordinates=get_coordinates_from_city(city_name='Seattle'))` answers the question "What's the weather like in Seattle right now?" by first fetching the coordinates of the city "Seattle" and then fetching the current weather data for those coordinates.