Preliminary versions of OpenAI’s new model family were trained explicitly to think step-by-step, yielding outstanding marks in math, science, and coding — but users can’t see their reasoning steps.
Preliminary versions of OpenAI’s new model family were trained explicitly to think step-by-step, yielding outstanding marks in math, science, and coding — but users can’t see their reasoning steps.
Traditionally, building 3D meshes for gaming, animation, product design, architecture, and the like has been labor-intensive. Now the ability to generate 3D meshes from a single image is widely available.
Traditionally, building 3D meshes for gaming, animation, product design, architecture, and the like has been labor-intensive. Now the ability to generate 3D meshes from a single image is widely available.
Datasets that were scraped from the web tend to be unbalanced, meaning examples of some classes (say, cats) are plentiful while examples of others (say, caterpillars) are scarce.
Datasets that were scraped from the web tend to be unbalanced, meaning examples of some classes (say, cats) are plentiful while examples of others (say, caterpillars) are scarce.
Researchers have probed the inner workings of individual layers of large language models. A new tool applies this approach to all layers.
Researchers have probed the inner workings of individual layers of large language models. A new tool applies this approach to all layers.
How often do large language models make up information when they generate text based on a retrieved document? A study evaluated the tendency of popular models to hallucinate while performing retrieval-augmented generation (RAG).
How often do large language models make up information when they generate text based on a retrieved document? A study evaluated the tendency of popular models to hallucinate while performing retrieval-augmented generation (RAG).
A new model generates tokens faster than current transformers, especially when processing long inputs.
A new model generates tokens faster than current transformers, especially when processing long inputs.
Researchers introduced a model that handles an unprecedented number of input and output types, including many related to performing computer vision tasks.
Researchers introduced a model that handles an unprecedented number of input and output types, including many related to performing computer vision tasks.
An agentic coding assistant boosted the state of the art in an important benchmark by more than 30 percent.
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