把LLMCompiler 论文读比较有趣,将传统程序编译器思想引入到任务,函数调用规划器、任务调度单元和执行器。介绍如何 LLCompiler 通过调度任务执行顺序,从而达到减少延时和降低成本的目的, 视频播放量 141、弹幕量 0、点赞数 4、投硬币枚数 2、收藏人数 2、转发人数 0, 视
for multi-function calling often require sequential reasoning and acting for each function which can result in high latency, cost, and sometimes inaccurate behavior. To address this, we introduce LLMCompiler, which executes functions in parallel to efficiently orchestrate multi-function calling. Drawing...
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 ...
a team of researchers from UC Berkeley, ICSI, and LBNL have developed LLMCompiler, a framework designed to enhance the efficiency and accuracy of LLMs in such tasks. LLMCompiler enables parallel execution of function calls through its components: L...
The realization inspiration comes from An LLM Compiler for Parallel Function Calling. Here is an example of using SQL to query data to illustrate the core role of the framework. The core process of generating an execution plan for SQL includes syntax parsing, semantic analysis, optimizer ...
Here, I’ll present thePlan-and-Executeapproach that fuses the planning module and the agent core. This is an advanced implementation and essentially compiles a plan before execution. For more details, seeAn LLM Compiler for Parallel Function Calling. ...
LLM LM heads are taught to remove embeddings from the final transformer layer. They don’t receive any instructions on how to remove subsurface layers. For this reason, the proposed approach incorporates a loss function into the training process so that LM heads may more effec...
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Keith D. Cooper, Linda Torczon, in Engineering a Compiler (Second Edition), 2012 Space for Parameters The size of the representation for a parameter has an impact on the cost of procedure calls. Scalar values, such as variables and pointers, are stored in registers or in the parameter area...
给大模型绑定工具,可以通过 llm.bind_tools() 或llm.bind_functions() 实现,对于不支持 Function Call 的模型,甚至可以通过自定义 Prompt 来实现; 解析大模型的返回结果,根据返回的结果中是否有 tool_calls 或function_call 字段,判断是否需要使用工具; 根据大模型的返回结果,调用一个或多个工具方法。 记忆 我们...