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Why AI Needs a “Nutrition Label” | Kasia Chmielinski | TED
What do sandwiches have to do with AI? Data reformist Kasia Chmielinski helps us think about artificial intelligence with a useful food metaphor — and breaks...
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Happy 10th year, JCertif!
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
Article: A Framework for Building Micro Metrics for LLM System Evaluation
LLM accuracy is a challenging topic to address and is much more multi-dimensional than a simple accuracy score. Denys Linkov introduces a framework for creating micro metrics to evaluate LLM systems, focusing on goal-aligned metrics that improve performance and reliability. By adopting an iterative "crawl, walk, run" methodology, teams can incrementally develop observability.
By Denys LinkovGoogle Releases Experimental AI Reasoning Model
Google has introduced Gemini 2.0 Flash Thinking Experimental, an AI reasoning model available in its AI Studio platform.
By Daniel DominguezGoogle Vertex AI Provides RAG Engine for Large Language Model Grounding
Vertex AI RAG Engine is a managed orchestration service aimed to make it easier to connect large language models (LLMs) to external data sources to be more up-to-date, generate more relevant responses, and hallucinate less.
By Sergio De SimoneAWS Adds Container Insights with Enhanced Observability to Elastic Container Service
AWS recently announced the launch of Container Insights with Enhanced Observability for Amazon Elastic Container Service (ECS). This goes on the lines of a similar feature previously introduced for Amazon Elastic Kubernetes Service (EKS). This new capability aims to improve monitoring and troubleshooting for container workloads.
By Aditya KulkarniTerraform Fork OpenTofu Adds Provider Iteration and Exclusions
Version 1.9.0 of OpenTofu - the infrastructure-as-code tool forked a year ago from Hashicorp's Terraform - has been released. This release brings several significant features, including provider iteration capabilities through `for_each`, to enable simplified multi-zone and multi-region deployments.
By Matt Saunders
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