The civilization made the most of its technology, but everything has its limits. Mayan society often relied on cinnabar, a deep red pigment that got its hue from mercury sulfide. Breakthroughs, discoveries, and DIY tips sent six days a week. A trio of ancient reservoirs in present-day Guatemala is revealing both the strength--and limitations--of Mayan water science. While the civilization's purification techniques resulted in comparatively clean drinking sources, archaeologists say the unknowable consequences of a commonly used, deep-red pigment consistently subjected the Indigenous population to toxic mercury poisoning .

When turned on, "GitHub Copilot checks code completion suggestions with their surrounding

The complete list may be seen in Table 8. Here are a few general notes about these strings: 1. Based on their recommendations, we did the following: 1. zh, zh_Latn: This resulted in the special filters described below. URLs) the corpora were in languages different from the LangID predictions. This is mainly mis-rendered PDFs and may have practical applications for denoising, or for decoding such garbled PDFs.

When turned on, "GitHub Copilot checks code completion suggestions with their surrounding

For example, in the Pandemic Response Challenge experiment, the context consisted of data about the geographic region for which the predictions were made, e.g., historical data of COVID-19 cases and intervention policies; actions were future schedules of intervention policies for the region; and outcomes were predicted future cases of COVID-19 along with the stringency

The complete list may be seen in Table 8. Here are a few general notes about these strings: 1. Based on their recommendations, we did the following: 1. zh, zh_Latn: This resulted in the special filters described below. URLs) the corpora were in languages different from the LangID predictions. This is mainly mis-rendered PDFs and may have practical applications for denoising, or for decoding such garbled PDFs.

Additionally, we show that LM behaviors can be customized using different combinations of fine-grained reward models.

This study evaluates the recently proposed Document Attention Network (DAN) for extracting key-value information from Uruguayan birth certificates, handwritten in Spanish. We investigate two annotation strategies for automatically transcribing handwritten documents, fine-tuning DAN with minimal training data and annotation effort. Experiments were conducted on two datasets containing the same images (201 scans of birth certificates written by more than 15 different writers) but with different annotation methods. Our findings indicate that normalized annotation is more effective for fields that can be standardized, such as dates and places of birth, whereas diplomatic annotation performs much better for fields containing names and surnames, which can not be standardized.