Ais transcripts12/5/2023 ![]() There have been a few other open-source A.I.s in the past few years, but most of them have been developed by reverse engineering proprietary projects. If outsiders have been allowed to use them directly, their usage has been metered and controlled. They existed behind the scenes, subtly powering search results, recommendations, chat assistants, and the like. Until recently, world-beating A.I.s like Whisper were the exclusive province of the big tech firms that developed them. This sounds like a logistical detail, but it’s actually the mark of a wider sea change. Gerganov converted Whisper to C++, a widely supported programming language, to make it easier to download and run on practically any device. In so doing, OpenAI made it possible for anyone, including an amateur like Gerganov, to modify the program. They also included the all-important “model weights”: a giant file of numbers specifying the synaptic strength of every connection in the software’s neural network. What’s so unusual about Whisper is that OpenAI open-sourced it, releasing not just the code but a detailed description of its architecture. In some of them, the software is capable of superhuman performance-that is, it can actually parse what somebody’s saying better than a human can. Whisper transcribes speech in more than ninety languages. Gerganov adapted it from a program called Whisper, released in September by OpenAI, the same organization behind ChatGPT and DALL-E. It was written in five days by Georgi Gerganov, a Bulgarian programmer who, by his own admission, knows next to nothing about speech recognition. Instead, it is ten thousand lines of stand-alone code, most of which does little more than fairly complicated arithmetic. It’s rare for modern software in that it has virtually no dependencies-in other words, it works without the help of other programs. ![]() researchers from the early days of speech recognition, they might laugh in disbelief, or cry-it would be like revealing to a nuclear physicist that the process for achieving cold fusion can be written on a napkin. Now it was running cutting-edge A.I.ĭespite being one of the more sophisticated programs ever to run on my laptop, Whisper.cpp is also one of the simplest. This was one of the few times in recent memory that my laptop had actually computed something complicated-mostly I just use it to browse the Web, watch TV, and write. As the lines piled up, I could feel my computer getting hotter. I fed it an audio file and, every few seconds, it produced one or two lines of eerily accurate transcript, writing down exactly what had been said with a precision I’d never seen before. With regard to the distinction between AIS and HSIL, a PAX8(-) immunophenotype is particularly predictive of high-grade squamous dysplasia.One day in late December, I downloaded a program called Whisper.cpp onto my laptop, hoping to use it to transcribe an interview I’d done. The majority of AIS lesions and a subset of HSILs are PAX8(+). In conclusion, immunohistochemical analysis for PAX2 is effective in discriminating AIS from benign endocervical glandular epithelium. The benign endocervical glandular epithelium was positive for PAX8 and PAX2 expression in 100% and 97% of cases, respectively. PAX8 and PAX2 immunostaining patterns in benign endocervical glandular epithelium were examined for 98 and 62 cases, respectively. The PAX2 immunostain was completely negative in the 18 HSILs examined for PAX2 expression. The difference in PAX8 positivity rates between AIS and HSIL was statistically significant (P<0.0001). Eleven (20%) of the 55 HSILs were positive for PAX8. Nuclear PAX2 expression was completely lost in 59 (89%) of the 66 cases of AIS. PAX8 positivity was observed in 64 (97%) of 66 cases of AIS. A total of 66 and 55 cases of AIS and HSIL were examined, respectively. Herein, we sought to investigate the immunohistochemical expression of PAX8 and PAX2 in AIS and HSIL. In situ carcinomas of the cervix are exemplified by adenocarcinoma in situ (AIS) and high-grade squamous intraepithelial lesions (HSILs), both of which present histologically as hyperchromatic crowded groups of epithelial cells exhibiting loss of polarity. Transcription factors PAX2 and PAX8 are expressed in the nuclei of Müllerian glandular epithelial cells.
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