Improving mathematical reasoning with process supervision

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

We’ve trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervision, process supervision also has an important alignment benefit: it directly trains the model to …

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Preventive maintenance vs. predictive maintenance

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Your maintenance strategy may not be the first thing that springs to mind when thinking about the bottom line. Yet, given that machinery, equipment and systems keep businesses running, maintenance strategies have a major role to play. Without due care and attention, things break—regardless of whether that’s a transformer in an electricity grid, an axle …

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Large sequence models for software development activities

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Posted by Petros Maniatis and Daniel Tarlow, Research Scientists, Google Software isn’t created in one dramatic step. It improves bit by bit, one little step at a time — editing, running unit tests, fixing build errors, addressing code reviews, editing some more, appeasing linters, and fixing more errors — until finally it becomes good enough …

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Translate documents in real time with Amazon Translate

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

A critical component of business success is the ability to connect with customers. Businesses today want to connect with their customers by offering their content across multiple languages in real time. For most customers, the content creation process is disconnected from the localization effort of translating content into multiple target languages. These disconnected processes delay …

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Assessing political bias in language models

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

The language models behind ChatGPT and other generative AI are trained on written words that have been culled from libraries, scraped from websites and social media, and pulled from news reports and speech transcripts from across the world. There are 250 billion such words behind GPT-3.5, the model fueling ChatGPT, for instance, and GPT-4 is …

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Unlock New Opportunities with Conversational AI

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Chatbots and virtual assistants are quickly becoming an essential part of the As the world becomes more connected, Conversational AI is quickly becoming a must-have skill for professionals across all industries. Our upcoming Conversational AI workshop is designed to help you stay ahead of the curve and unlock new career opportunities. In just three days, …

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WebSphere Application Server support

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

IBM continues to be committed to supporting your journey with the WebSphere platform. There is no planned end-of-support date for WebSphere 8.5.5 and 9.0.5. IBM intends on supporting these WebSphere releases beyond Oracle’s stated extended support date for Java 8. For more details, see the WebSphere Application Server traditional Lifecycle. The post WebSphere Application Server …

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Amazon SageMaker XGBoost now offers fully distributed GPU training

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, …

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