Tag: error rate
-
AWS News Blog: Track performance of serverless applications built using AWS Lambda with Application Signals
Source URL: https://aws.amazon.com/blogs/aws/track-performance-of-serverless-applications-built-using-aws-lambda-with-application-signals/ Source: AWS News Blog Title: Track performance of serverless applications built using AWS Lambda with Application Signals Feedly Summary: Gain deep visibility into AWS Lambda performance with CloudWatch Application Signals, eliminating manual monitoring complexities and improving serverless app health. AI Summary and Description: Yes Summary: Amazon has introduced CloudWatch Application Signals, an…
-
Slashdot: Microsoft, Atom Computing Leap Ahead On the Quantum Frontier With Logical Qubits
Source URL: https://tech.slashdot.org/story/24/11/20/0026222/microsoft-atom-computing-leap-ahead-on-the-quantum-frontier-with-logical-qubits?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft, Atom Computing Leap Ahead On the Quantum Frontier With Logical Qubits Feedly Summary: AI Summary and Description: Yes Summary: Microsoft and Atom Computing have achieved a significant milestone in developing fault-tolerant quantum computing. The advancement involves utilizing quantum capabilities through Azure cloud service, while also addressing error correction…
-
Slashdot: IBM Boosts the Amount of Computation You Can Get Done On Quantum Hardware
Source URL: https://tech.slashdot.org/story/24/11/14/018246/ibm-boosts-the-amount-of-computation-you-can-get-done-on-quantum-hardware?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: IBM Boosts the Amount of Computation You Can Get Done On Quantum Hardware Feedly Summary: AI Summary and Description: Yes Summary: The text discusses IBM’s advancements in quantum computing, particularly the introduction of the Heron processor version 2, which increases reliability and efficiency in calculations despite existing errors. It…
-
Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis
Source URL: https://cloud.google.com/blog/products/compute/trillium-mlperf-41-training-benchmarks/ Source: Cloud Blog Title: Unlocking LLM training efficiency with Trillium — a performance analysis Feedly Summary: Rapidly evolving generative AI models place unprecedented demands on the performance and efficiency of hardware accelerators. Last month, we launched our sixth-generation Tensor Processing Unit (TPU), Trillium, to address the demands of next-generation models. Trillium is…
-
Hacker News: FrontierMath: A benchmark for evaluating advanced mathematical reasoning in AI
Source URL: https://epochai.org/frontiermath/the-benchmark Source: Hacker News Title: FrontierMath: A benchmark for evaluating advanced mathematical reasoning in AI Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes FrontierMath, a rigorous benchmark developed to evaluate AI systems’ mathematical reasoning capabilities using complex, original mathematical problems. Despite AI advancements, current models perform poorly, solving less…
-
Simon Willison’s Weblog: Run a prompt to generate and execute jq programs using llm-jq
Source URL: https://simonwillison.net/2024/Oct/27/llm-jq/#atom-everything Source: Simon Willison’s Weblog Title: Run a prompt to generate and execute jq programs using llm-jq Feedly Summary: llm-jq is a brand new plugin for LLM which lets you pipe JSON directly into the llm jq command along with a human-language description of how you’d like to manipulate that JSON and have…
-
Irrational Exuberance: Modeling impact of LLMs on Developer Experience.
Source URL: https://lethain.com/dx-llm-model/ Source: Irrational Exuberance Title: Modeling impact of LLMs on Developer Experience. Feedly Summary: In How should you adopt Large Language Models? (LLMs), we considered how LLMs might impact a company’s developer experience. To support that exploration, I’ve developed a system model of the developing software at the company. In this chapter, we’ll…