Tag: actions
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Slashdot: Anthropic Maps AI Model ‘Thought’ Processes
Source URL: https://slashdot.org/story/25/03/28/0614200/anthropic-maps-ai-model-thought-processes?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Anthropic Maps AI Model ‘Thought’ Processes Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a recent advancement in understanding large language models (LLMs) through the development of a “cross-layer transcoder” (CLT). By employing techniques similar to functional MRI, researchers can visualize the internal processing of LLMs,…
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New York Times – Artificial Intelligence : CoreWeave Scales Back Ambition for Its I.P.O.
Source URL: https://www.nytimes.com/2025/03/27/technology/coreweave-scales-back-ambitions-for-its-ipo.html Source: New York Times – Artificial Intelligence Title: CoreWeave Scales Back Ambition for Its I.P.O. Feedly Summary: The company, which originally expected its shares to be priced between $47 and $55, will ask for $40 a share in a sign of stock market uncertainty. AI Summary and Description: Yes Summary: The text…
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CSA: Rethinking Data Risk in the AI Era: A Unified Approach
Source URL: https://bigid.com/blog/rethinking-data-risk-in-the-ai-era-why-organizations-need-a-unified-approach/ Source: CSA Title: Rethinking Data Risk in the AI Era: A Unified Approach Feedly Summary: AI Summary and Description: Yes Summary: The article highlights the critical need for organizations to adopt a more integrated, AI-powered approach to managing data security, privacy, and compliance. It emphasizes the challenges posed by fragmented legacy solutions…
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Hacker News: Show HN: New Agentic AI Framework in CNCF
Source URL: https://github.com/dapr/dapr-agents Source: Hacker News Title: Show HN: New Agentic AI Framework in CNCF Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Dapr Agents, a developer framework for building scalable AI agent systems that leverage Large Language Models (LLMs). It emphasizes features such as resilience, efficient deployment on Kubernetes, inter-agent…
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CSA: Rethinking Data Risk in the AI Era: A Unified Approach
Source URL: https://bigid.com/blog/rethinking-data-risk-in-the-ai-era-why-organizations-need-a-unified-approach/ Source: CSA Title: Rethinking Data Risk in the AI Era: A Unified Approach Feedly Summary: AI Summary and Description: Yes Summary: The article highlights the critical need for organizations to adopt a more integrated, AI-powered approach to managing data security, privacy, and compliance. It emphasizes the challenges posed by fragmented legacy solutions…
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Hacker News: Show HN: New Agentic AI Framework in CNCF
Source URL: https://github.com/dapr/dapr-agents Source: Hacker News Title: Show HN: New Agentic AI Framework in CNCF Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Dapr Agents, a developer framework for building scalable AI agent systems that leverage Large Language Models (LLMs). It emphasizes features such as resilience, efficient deployment on Kubernetes, inter-agent…
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OpenAI : Moving from intent-based bots to proactive AI agents
Source URL: https://openai.com/index/zendesk Source: OpenAI Title: Moving from intent-based bots to proactive AI agents Feedly Summary: Moving from intent-based bots to proactive AI agents. AI Summary and Description: Yes Summary: The text references a shift from intent-based bots to proactive AI agents, which is significant in the context of AI security and generative AI security.…
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OpenAI : Moving from intent-based bots to proactive AI agents
Source URL: https://openai.com/index/zendesk Source: OpenAI Title: Moving from intent-based bots to proactive AI agents Feedly Summary: Moving from intent-based bots to proactive AI agents. AI Summary and Description: Yes Summary: The text references a shift from intent-based bots to proactive AI agents, which is significant in the context of AI security and generative AI security.…
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Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data
Source URL: https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data Source: Hacker News Title: Tao: Using test-time compute to train efficient LLMs without labeled data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new model tuning method for large language models (LLMs) called Test-time Adaptive Optimization (TAO) that enhances model quality without requiring large amounts of labeled…