Tag: agent
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Irrational Exuberance: Wardley mapping the LLM ecosystem.
Source URL: https://lethain.com/wardley-llm-ecosystem/ Source: Irrational Exuberance Title: Wardley mapping the LLM ecosystem. Feedly Summary: In How should you adopt LLMs?, we explore how a theoretical ride sharing company, Theoretical Ride Sharing, should adopt Large Language Models (LLMs). Part of that strategy’s diagnosis depends on understanding the expected evolution of the LLM ecosystem, which we’ve build…
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Slashdot: New Physics Sim Trains Robots 430,000 Times Faster Than Reality
Source URL: https://hardware.slashdot.org/story/24/12/24/022256/new-physics-sim-trains-robots-430000-times-faster-than-reality?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: New Physics Sim Trains Robots 430,000 Times Faster Than Reality Feedly Summary: AI Summary and Description: Yes Short Summary: The text discusses the unveiling of Genesis, an advanced open-source computer simulation system that enables robots to practice tasks at vastly accelerated speeds. This technology could significantly enhance AI training…
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Hacker News: New physics SIM trains robots 430k times faster than reality
Source URL: https://arstechnica.com/information-technology/2024/12/new-physics-sim-trains-robots-430000-times-faster-than-reality/ Source: Hacker News Title: New physics SIM trains robots 430k times faster than reality Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents the launch of Genesis, an advanced open-source computer simulation system for robotics, which allows for immensely accelerated learning through simulated reality. It highlights the integration of…
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Hacker News: Co-Adapting Human Interfaces and LMs
Source URL: https://jessylin.com/2024/11/12/co-adapting-human-interfaces/ Source: Hacker News Title: Co-Adapting Human Interfaces and LMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the adaptive relationship between language models (LMs) and the digital environments they interact with, highlighting a shift in how systems are designed to cater to LMs as users. It emphasizes both…
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Hacker News: Offline Reinforcement Learning for LLM Multi-Step Reasoning
Source URL: https://arxiv.org/abs/2412.16145 Source: Hacker News Title: Offline Reinforcement Learning for LLM Multi-Step Reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of a novel offline reinforcement learning method, OREO, aimed at improving the multi-step reasoning abilities of large language models (LLMs). This has significant implications in AI security…
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Hacker News: NetBox Discovery Now in Public Preview
Source URL: https://netboxlabs.com/blog/netbox-discovery-agent-available-public-preview/ Source: Hacker News Title: NetBox Discovery Now in Public Preview Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces the NetBox Discovery agent, an open-source tool designed for network and device discovery, facilitating faster integration into the NetBox system for improved infrastructure management. Its architecture supports scalability and efficient…
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AWS News Blog: Reduce costs and latency with Amazon Bedrock Intelligent Prompt Routing and prompt caching (preview)
Source URL: https://aws.amazon.com/blogs/aws/reduce-costs-and-latency-with-amazon-bedrock-intelligent-prompt-routing-and-prompt-caching-preview/ Source: AWS News Blog Title: Reduce costs and latency with Amazon Bedrock Intelligent Prompt Routing and prompt caching (preview) Feedly Summary: Route requests and cache frequently used context in prompts to reduce latency and balance performance with cost efficiency. AI Summary and Description: Yes Summary: Amazon Bedrock has previewed two significant capabilities…