response=client.chat.completions.create(model="glm-4-alltools",# 填写需要调用的模型名称 stream=True,messages=[{"role":"user","content":[{"type":"text","text":"帮我查询本届欧洲杯淘汰赛对阵情况。"}]}],tools=[{"type":"web_browser"#联网搜索}
from openai_token_counter import openai_token_counter messages = [{"role": "user", "content": "hello"}] functions = [ { "name": "bing_bong", "description": "Do a bing bong", "parameters": { "type": "object", "properties": { "foo": {"type": "string"}, "bar": {"type"...
➡️ function_signature_mapping: Add mapping for function signature namings. The Define Function Signature Mapping section provides a deep dive into function signature mapping. (e.g. new FunctionSignatureMappingData(['parameters' => new MappingData(['path' => 'input_schema.properties', 'type'...
This session shows off a relatively new way to retrieve knowledge and direct a conversational flow, using the Azure OpenAI function calling feature. This session will give you the skills to extend your AI chat to cover more use cases, like structured queries and user question pre-processing....
Registers a callback function to be executed on the next time the event is fired only. This is similar to calling on followed by off in the callback. Type parameters TEvent : extends BaseEvent The type descibing the event. See BaseEvent. Parameters event : TEvent[...
Parameters for creating connection.This is not shareable connection. If the power app is shared with another user, another user will be prompted to create new connection explicitly.展開資料表 NameTypeDescriptionRequired Password securestring The Password for this api True Username securestring The ...
We create a database using ENV parameters (DB_USER, DB_PASSWORD, DB_HOST, DB_PORT). Then, we enable the pgvector extension that we installed as part of the requirements. Finally, we set up the embeddings table. If you prefer to see the full code (create_db.py), please see below:...
1. --work-dir is responsible for caching pre-processed files in case you run ingest multiple times over the same file. 2. --output-dir local-output-to-SQL points it to use the database connection parameters. 3. --additional-partition-args can help you to also go deeper into different...
the computing power needed for large models is roughly estimated by multiplying the model size by the required data volume. "GPT-4 has trillions of parameters, trained on a cluster of around 20,000 to 30,000 GPUs. According to the Scaling Law, the cluster for GPT-5 will likely need 100...
Open AI has been in the race for a long time now. The capabilities, features, and limitations of their latest edition,GPT-3, have been described in a detailedresearch paper. Its predecessorGPT-2(released in Feb 2019) was trained on 40GB of text data and had 1.5 BN parameters. In compar...