The best thing about Bard is its ability to access the Internet, which ChatGPT cannot.
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Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.
We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2.
Self-hosted, community-driven, local OpenAI-compatible API". Designed to let you run local models such as those enabled by llama.cpp without rewriting your existing code that calls the OpenAI REST APIs. Reminds me of the various S3-compatible storage APIs that exist today.
Language Identification is the process of identifying the primary language from multiple audio input samples. In natural language processing (NLP), language identification is an important problem and a challenging issue. There are many language-related tasks such as entering text on your phone, finding news articles you enjoy, or discovering answers to questions that you may have. All these tasks are powered by NLP models. To decide which model to invoke at a particular point in time, we must perform language identification.
StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects
Robots operating in human environments must be able to rearrange objects into semantically-meaningful configurations, even if these objects are previously unseen. We focus on the problem of building physically-valid structures without step-by-step instructions.
Models trained using common data-collection techniques judge rule violations more harshly than humans would, researchers report.