[Coin World] Amazon Web Services recently added several new features to its Bedrock AgentCore platform, mainly to make it easier for businesses to manage AI agents. This update is quite practical—first, the Policy feature allows users to set boundaries for agents using natural language without writing a bunch of code; then there’s AgentCore Evaluations, which packages 13 ready-made evaluation systems to help you check if the agents are performing correctly and securely; and there’s also AgentCore Memory, specifically designed to store users' personalized information long-term.
These tools are essentially aimed at solving practical deployment issues. After all, with AI agents being so popular now, companies need reliable tools to implement them. Cloud service providers are continuously investing in this area, as they are also competing for a position in the infrastructure for AI application development.
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MondayYoloFridayCry
· 3h ago
Amazon's update this time is quite something; setting boundaries with natural language really does make things easier.
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0xSleepDeprived
· 12-04 19:21
Competing on infrastructure again, and this time Amazon has really done something impressive. I like the approach of setting boundaries with natural language—it saves us from writing all that redundant code every day.
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BearMarketGardener
· 12-02 23:49
Amazon is getting competitive again, this time directly giving developers tools to avoid writing a bunch of messy code.
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ShibaOnTheRun
· 12-02 19:59
Amazon is at it again, this time directly putting together a lazy package, making things really convenient for businesses.
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SnapshotLaborer
· 12-02 16:49
Amazon's recent update is quite interesting, but to put it simply, it's all about rolling out infrastructure. Whoever can drop deployment costs will win.
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ThatsNotARugPull
· 12-02 16:46
Amazon's recent move is quite good; the 13 trap evaluation systems have directly saved a lot of trouble.
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GasFeeCrying
· 12-02 16:43
Amazon is indeed trying to take a bite out of the AI agent pie. The natural language policy sounds convenient, but I fear it might just be another marketing gimmick.
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SchroedingerAirdrop
· 12-02 16:42
Amazon's update really hits the nail on the head; the natural language policy saves companies from hassle, which is truly pragmatic.
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MetaDreamer
· 12-02 16:27
Amazon's trap is quite good; finally, someone has lowered the deployment threshold for AI agents.
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JustHereForAirdrops
· 12-02 16:25
Wow, Amazon's move is really fierce, directly positioning itself in the lucrative AI agent infrastructure sector.
Amazon Cloud updates AI agent development tools, adding strategy settings and evaluation system.
[Coin World] Amazon Web Services recently added several new features to its Bedrock AgentCore platform, mainly to make it easier for businesses to manage AI agents. This update is quite practical—first, the Policy feature allows users to set boundaries for agents using natural language without writing a bunch of code; then there’s AgentCore Evaluations, which packages 13 ready-made evaluation systems to help you check if the agents are performing correctly and securely; and there’s also AgentCore Memory, specifically designed to store users' personalized information long-term.
These tools are essentially aimed at solving practical deployment issues. After all, with AI agents being so popular now, companies need reliable tools to implement them. Cloud service providers are continuously investing in this area, as they are also competing for a position in the infrastructure for AI application development.