OpenAI 《A practical guide to building agents》
speech, harassment, violence) to maintain safe, respectful interactions. Tool safeguards Assess the risk of each tool available to your agent by assigning a rating—low, medium, or high—based on factors permissions, and financial impact. Use these risk ratings to trigger automated actions, such as pausing for guardrail checks before executing high-risk functions or escalating to a human if needed. "Churn Detection Agent" "Identify if the user message indicates a potential customer churn risk." agents Agent, GuardrailFunctionOutput, InputGuardrailTripwireTriggered, RunContextWrapper0 码力 | 34 页 | 7.00 MB | 5 月前3Trends Artificial Intelligence
Modernization (2020 Letter to Shareholders: ‘We already extensively use AI, quite successfully, in fraud and risk, marketing, prospecting, idea generation, operations, trading and in other areas—to great effect, conditions… …Any technological advance which requires huge capital expenditure always runs a real risk of disappointing returns in the early years, even if it is ultimately successful... …Any technology expenditure and requires returns to be earned over an extended period is always going to be a high-risk undertaking – unless, that is, there is some form of protection against competition... …The winners0 码力 | 340 页 | 12.14 MB | 4 月前3OpenAI - AI in the Enterprise
timelines from weeks to hours. The impact was felt across many disciplines and departments: The Credit Risk team Uses ChatGPT to determine creditworthiness faster and more accurately. The Legal team Uses analysis of NPS surveys. 16 AI in the EnterpriseAnd the wins continue to spread across Marketing, Risk Management, Operations, and beyond. All because they got AI in the hands of the people who know how0 码力 | 25 页 | 9.48 MB | 5 月前3Google 《Prompt Engineering v7》
the email should be classified as **IMPORTANT**. The bug in the contact form is a serious security risk, and the sender’s credibility is unknown. The recipient should take immediate action to fix the bug data it should expect, helping it focus its attention on the relevant information and reducing the risk of misinterpreting the input. Furthermore, schemas can help establish relationships between different0 码力 | 68 页 | 6.50 MB | 6 月前3清华大学 DeepSeek+DeepResearch 让科研像聊天一样简单
gastropods and bivalves, show phenotypicplasticity in their shell morphology in response to predation risk (Appleton & Palmer1988, Trussell & Smith 2000, Bourdeau 2010). Predation can therefore act as adirectional gastropods and bivalves, exhibit phenotypic plasticity in their shell morphology in response to predation risk. Predation can act as a directional selection pressure, resulting in specific prey phenotypes, such0 码力 | 85 页 | 8.31 MB | 7 月前3DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
consideration for automatically learned routing strategies. Firstly, unbalanced load will raise the risk of routing collapse (Shazeer et al., 2017), preventing some experts being fully trained and utilized Loss. We use an expert-level balance loss (Fedus et al., 2021; Lepikhin et al., 2021) to mitigate the risk of routing collapse: LExpBal = ?1 ?? ∑︁ ?=1 ????, (23) ?? = ?? ??? ? ∑︁ ?=1 1(Token ? selects0 码力 | 52 页 | 1.23 MB | 1 年前3清华大学第二弹:DeepSeek赋能职场
(结果多样性) Route (路径灵活性) 线性路径 (流程标准化) 网状路径 (多路径探索) Responsiveness (响应模式) 被动适配 (按规则执行) 主动创新 (自主决策) Risk (风险特征) 低风险 (稳定可控) 高风险 (不确定性高) (限定于文本生成任务) DeepSeek 两种模型对比 V3 R1 DeepSeek 两种模型对比 V3 R1 如何提问?两种模型的提示语差异0 码力 | 35 页 | 9.78 MB | 7 月前3
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