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Over half of LLM-written news summaries have “significant issues”—BBC analysis

Ars Technica

In an extensive report published this week , the BBC analyzed how four popular large language models used or abused information from BBC articles when answering questions about the news. Now, the BBC is trying to quantify the scale of this confabulation problem, at least when it comes to summaries of its own news content.

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Larger language models do in-context learning differently

Google Research AI blog

In “ Larger language models do in-context learning differently ”, we aim to learn about how these two factors (semantic priors and input-label mappings) interact with each other in ICL settings, especially with respect to the scale of the language model that’s used. targets) instead of natural language labels.

Language 134
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Creating a Nonprofit Digital Strategy with ChatGPT: A Practical Guide

Nonprofit Tech for Good

The following prompt and instructions can help you develop it. ” Instructions: Provide information about your organization’s current situation, including its strengths, weaknesses, opportunities, and threats. The following prompt and instructions can help you develop it. Output as a table.” Output as a table.”

Digital 304
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Visual language maps for robot navigation

Google Research AI blog

Building robots that are proficient at navigation requires an interconnected understanding of (a) vision and natural language (to associate landmarks or follow instructions), and (b) spatial reasoning (to connect a map representing an environment to the true spatial distribution of objects).

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DeepMind's latest AI model can help robots fold origami and close Ziploc bags

Engadget

The two-armed robot also understands all the instructions given to it in natural, everyday language. For instance, with Gemini Robotics powering it, DeepMind's ALOHA 2 robot is able to fold origami and close a Ziploc bag.

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Language to rewards for robotic skill synthesis

Google Research AI blog

The recent advancements in large language models (LLMs) pre-trained on extensive internet data have shown a promising path towards achieving this goal. In “ Language to Rewards for Robotic Skill Synthesis ”, we propose an approach to enable users to teach robots novel actions through natural language input.

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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

Transform modalities, or translate the world’s information into any language. I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. We want to solve complex mathematical or scientific problems. Diagnose complex diseases, or understand the physical world.

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