academic program
Evaluating the Performance of Large Language Models for Spanish Language in Undergraduate Admissions Exams
Miranda, Sabino, Pichardo-Lagunas, Obdulia, Martínez-Seis, Bella, Baldi, Pierre
This study evaluates the performance of large language models, specifically GPT-3.5 and BARD (supported by Gemini Pro model), in undergraduate admissions exams proposed by the National Polytechnic Institute in Mexico. The exams cover Engineering/Mathematical and Physical Sciences, Biological and Medical Sciences, and Social and Administrative Sciences. Both models demonstrated proficiency, exceeding the minimum acceptance scores for respective academic programs to up to 75% for some academic programs. GPT-3.5 outperformed BARD in Mathematics and Physics, while BARD performed better in History and questions related to factual information. Overall, GPT-3.5 marginally surpassed BARD with scores of 60.94% and 60.42%, respectively.
The Lack of Women Data Scientists Hurts Artificial Intelligence - Ms. Magazine
New advancements in data science often spark dire predictions about how powerful new technologies will transform the world. Yet, as writer Stephen Shankland reminds us, technologies like Open AI's new Chat GPT (short for chat-based Generative Pretrained Transformer) are created by humans. Chat GPT is a chatbot that is "trained with human assistance to deliver more useful, better dialog." The people assisting that training--those who create the models and assemble the data used to train chatbots--make a difference in the technologies that will go on to shape our lives. Computer scientist Joy Buolamwini, an early critic of racial bias in facial recognition software, said technology should "be more attuned to the people who use it and the people it's used on."
Israeli Universities Struggle to Meet Massive Demand for Artificial Intelligence Programs - The Media Line
Despite being AI powerhouse, Israel's academic institutions find themselves outpaced by thriving industry as many students turn to online classes Israeli universities are struggling to keep up with the demand for academic programs in the field of artificial intelligence (AI) technologies, amid a severe shortage of skilled workers in the booming sector. There are presently dozens of AI courses and tracks offered at the undergraduate and master's level in academic institutions across the country. However, there is not enough space to accommodate the number of students wishing to enroll. The lack of sufficient academic staff and programs is exacerbating the already-existing tech talent crunch, estimated at roughly 15,000 workers. Katrina Ligett, an associate professor of computer science and head of the new program on Internet and Society at the Hebrew University in Jerusalem, says that programs for cutting-edge technologies like AI are still very young and will need time to catch up.