2175 AI made simple with wastonx and NeuralSeek.pdf

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1、October 21-24,2024Mandalay Bay Convention CenterLas Vegas,Nevada2175AI made simple with wastonx and NeuralSeekMarc MartinaTechnology Dynamics(TechD),PresidentAgenda0102030405IntroductionCommon AI TermsFeature ReviewDemoQ&A IBM TechXchange|2024 IBM Corporation#IBMTechXchange3Watsonx PlatformWatsonx.d

2、iscoveryWatsonx.assistantWatonx.orchestrateNeuraSeekWatsonx.aiWatsonx.governanceIBM TechXchange|2024 IBM Corporation#IBMTechXchangeWhat is the BEST Large Language Model(LLM)?4IBM TechXchange|2024 IBM Corporation#IBMTechXchangeLLM CharacteristicsSpeedSpeedHow quickly is the answered returnedCostCostA

3、verage cost per questions.QualityQualityDoes the response have the quality you require.FunctionalityFunctionalityDoes the model support what you are trying to accomplish.5IBM TechXchange|2024 IBM CorporationDynamic LLM SelectionsNeuralSeek adds the ability to swap an LLM at a production-level in sec

4、onds or per api call.Dynamically select or route to an LLM by use caseUpgrade to the latest LLM in seconds without any retooling,re-prompting,or reweighting.IBM TechXchange|2024 IBM CorporationAgent and Muli-AgentAgentAn agent in AI is an autonomous entity that can perceive its environment,make deci

5、sions,and take actions to achieve its goals.Multi-AgentRefers to a systems that involve the orchestration or multiple agents.An intelligent routing system that coordinates the actions of the agents.IBM TechXchange|2024 IBM CorporationGovernanceGovernance provides insights into the NeuralSeek environ

6、ment.This allows users to explore deep into the system to ensure answer integrity,visibility and confidence.IBM TechXchange|2024 IBM Corporation#IBMTechXchangeDEMO TIME#IBMTechXchange10Q&AIBM TechXchange|2024 IBM CorporationMarc MartinaTechnology Dynamics,P and disclaimersCertain comments made in th