PhiData:把工具调用抽象成function call的Agent框架 https://github.com/phidatahq/phidata Haystack: LLM Agent 框架,pipeline的设计模式个人感觉比langchain更灵活更简洁 https://github.com/deepset-ai/haystack EdgeChain: 通过Jsonnet配置文件实现LLM Agent https://github.com/arakoodev/EdgeChains/tree/main ...
It is used in a Scenario, when user wants to apply an advance conditional style based on multiple numeric prompt values. If prompt values are string, then prompt macro with replace function can be used to compare the prompt values with the data by using contains operator. But same approach ...
所以在未来,AI Agent一定要优化记忆系统,不能简单的将长短时记忆简化为向量数据库。 3) Function Calling准确性 目前,Function Calling是AI Agent进行工具使用的最主要的手段,可以说AI Agent的执行能力强依赖于大模型的Function Calling能力。但是目前的Function Calling的准确性其实并不理想,表现最好的大模型其准确率...
1. Cognos isn't meant to do that. So doing this with Cognos is like hammering in nails with a shoe (It is true that as a young, unmarried student I used to poach eggs in the toaster oven). 2. It'll be really difficult to maintain, as opposed to a tool that was meant to ...
未来,AI Agent的发展,必须首先要解决可靠性不足的问题,而解决可靠性不足的问题,就得从任务分解与反思、记忆优化、Function Calling准确性这几个维度入手。 1)任务分解与反思 现在的 Agent 只是一个规划器,它负责做规划。但实际上,这个流程中还存在很多未明确的问题,比如是否存在一个内部加工过程,以及这个过程是否透...
I used the cast function and now I don't get the error message,but now the prompt doesn't do the search it is asked for. Print Go Up Pages1 COGNOiSe.com - The IBM Cognos Community ► IBM Cognos 10 Platform ► Cognos 10 BI ► Report Studio ► text box prompt for ...
未来,AI Agent的发展,必须首先要解决可靠性不足的问题,而解决可靠性不足的问题,就得从任务分解与反思、记忆优化、Function Calling准确性这几个维度入手。 1)任务分解与反思 现在的 Agent 只是一个规划器,它负责做规划。但实际上,这个流程中还存在很多未明确的问题,比如是否存在一个内部加工过程,以及这个过程是否透...
Is this something in the database that is coming up in the query that feeds your prompt control so the user sees a blank line among the other valid selections? If that is the case you could use a coalesce function to replace the null with something else. cognos810 Community Leader ...