01 函数调用(Function Calling)的用途有哪些? Function Calling 这一技术让开发者能够定义函数(也被称为工具(tools),可以将其视为模型要执行的操作,如进行数学运算或下订单),并让模型智能地选择并输出一个包含调用这些函数所需参数的 JSON 对象。简单来说,这一技术具备以下功能: 自主决策(Autonomous decision making...
Function Calling(又称为Tool Calling,后文统称为FC)是构建agent的基石,也是各大LLM厂商的标配功能。要做到好的FC,LLM要能做到: 理解任务与function/tool的关系,知道是否要调用、需调用哪些function/tool、是否缺必要参数; 返回结构化内容,包括function name、arguments(json格式)。 本文主要关注FC的第二个能力,即stru...
Because LLMs are being updated with the most recent training data, the entity recognition system is likely to stay more up-to-date than other open-source entity recognition models. Prompt engineering techniques can be used to embed additional data and give additional instructions, allowing for more...
01 函数调用(Function Calling)的用途有哪些? Function Calling 这一技术让开发者能够定义函数(也被称为工具(tools),可以将其视为模型要执行的操作,如进行数学运算或下订单),并让模型智能地选择并输出一个包含调用这些函数所需参数的 JSON 对象。简单来说,这一技术具备以下功能: 自主决策(Autonomous decision making...
(iii) an Executor, executing these tasks in parallel. LLMCompiler automatically computes an optimized orchestration for the function calls and can be used with open-source models such as LLaMA-2. We have benchmarked LLMCompiler on a range of tasks including cases with non-trivial inter-...
OpenAI function calling,作为智能代理与外部工具交互的基本方式,对于每位从业者来说都是必备技能。随着技术的发展,我们期望的不只是能与我们对话的LLM,而是能够辅助我们使用各种工具、做出决策的智能伙伴。 不过需要特别指出的是,最近OpenAI在Chat Completions API中已经废弃了“函数(function)”的使用,转而采用“工具(too...
examples, andLLMCompiler automatically computes an optimized orchestration for the function calls. LLMCompiler can be used with open-source models such as LLaMA, as well as OpenAI’s GPT models. Across a range of tasks that exhibit different patterns of parallel function calling, LLMCompiler ...
print("Calling get_current_date_utc client side.") return datetime.datetime.now(datetime.timezone.utc).strftime( "The current UTC datetime is (day: %A, date (day/month/year): %d/%m/%Y, time: %H:%M)." ) def run_conversation(question: str, tool_choice_param): # Step 1: send the...
with open-source models like LLaMA-2 and OpenAI’s GPT, LLMCompiler exhibits latency speedup, cost savings, and accuracy improvement over ReAct. Supporting dynamic replanning for adaptive execution, the open-sourced framework offers efficient orchestratio...
Source: Art: DALL-E/OpenAI Large language models (LLMs) have taken the world by storm, generating everything from poetry to technical documents. They’ve been praised for their ability to make new connections and even surprise us with insights. But do these models actuallyknowanything? Or ...