What Is Generative AI and How Does It Work?
The CDC estimates that about 300,800 people were prescribed PrEP in 2020, representing only 25% of those who could benefit from the medication. Racial disparities also persist — 13% of Black and 24% of Latino people who could benefit from PrEP were prescribed it in 2022, compared to 94% of white people. Give students a copy of the Explanation Game Note–Taking Sheet (available for download) and have your students select various objects around your classroom to write about. The Explanation Game is also a terrific engagement activity to kick off a history or science unit. For example, if you are studying Pacific Northwest Native Americans, show your students a totem pole and have them play the Explanation Game before delving into the unit.
Neural networks consist of interconnected nodes, or neurons, that are organized into layers. Each neuron takes input data, performs a mathematical operation on it, and passes the result to the next layer of neurons. The strength of the connections between neurons, known as weights, is adjusted during training to optimize the performance of the neural network. In this routine, students are generally sharing their thinking at each step along the way before moving on to the next one.
Students can use the explanations they generate during this routine to game quiz identify theories and hypotheses to test. NewYork-Presbyterian launched the Sexual Health Mobile Medical Unit which brings comprehensive sexual health services to underserved communities. The side effects for PEP are also minor (nausea, upset stomach, fatigue and headaches) and should go away after the first week. There is currently no vaccine available for HIV, however over the past decade, the breakthrough medication PrEP (pre-exposure prophylaxis) has driven down the rates of transmission. PrEP prevents the virus from taking hold and spreading throughout the body, and when taken correctly, reduces the risk of getting HIV from sex by 99%. It does not protect against other sexually transmitted infections (STIs) like syphilis and gonorrhea, so it’s advised with condom use and frequent HIV and STI testing.
GANs consist of two neural networks – a generator and a discriminator – that are trained simultaneously. The generator generates new data samples, while the discriminator tries to distinguish between real and generated data. Through this adversarial training process, the generator learns to create more realistic data samples, while the discriminator learns to become better at distinguishing between real and generated data.
A valuable tool for this step is the sticky notes students used when they first observed the content. ” are a great place to start, although your best questions will come from tuning into students thinking as they share. It’s important to note that the steps of this game do not have to be done in a lock-step sequence. Authentically engaging students with phenomena gives teachers the perfect opportunity to engage students in The Explanation Game.
In the next part of the routine, students follow up on what they have named with an explanation for what they think it is or why they think it’s there. Share with students that being able to generate multiple thoughtful explanations lies in making connections that go below the surface of what we might think at first. It can be challenging to think outside of our own initial assumptions and interpretations.
The Explanation Game Visible Thinking Routine; A Professional Development Series
Unlike the other forms of PrEP, on-demand PrEP is only approved to be used when taking Truvada and, in the U.S., it is only approved for use for men who have sex with men. Unlike traditional AI systems that are trained on large datasets and typically used for tasks like classification or prediction, generative AI is designed to be creative and produce new content that is novel and unique. There are 21 “thinking routines” suggested in the book, with seven in each of the three categories.
What Is Generative AI and How Does It Work?
In conclusion, generative AI is a powerful technology that has the potential to transform the way we create and interact with digital content. By leveraging deep learning techniques and neural networks, generative AI models can generate new data samples that are creative, diverse, and realistic. While generative AI offers exciting opportunities for innovation and creativity, it also raises important ethical and societal implications that must be carefully considered and addressed. By understanding the capabilities and limitations of generative AI, we can harness its potential to create positive impact and drive progress in various industries.
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After finishing PEP, a provider will schedule another HIV screening four to six weeks after the exposure and again three months later. Currently, as part of a Science unit, Year 1 students are researching the design of race tracks. I wanted to familiarise students with race track design and assess prior knowledge. I used to think that the ball would hit him on the head but now I think the ball would hit the finger and the ball would rise.
Generative AI is a type of AI that involves the use of deep learning models to generate new data that is similar to the input data it has been trained on. These models are typically based on neural networks, which are algorithms inspired by the way the human brain processes information. Generative AI models typically consist of one or more neural networks that are trained on a dataset of input data samples. The model learns the underlying patterns and structures in the data and uses this information to generate new data samples that are similar to the input data. This next part of the routine is an opportunity for students to press each other for evidence.
As this was the first time they had experienced the Explanation Game, I used the same sentence starters as Year 1. Rather than responding verbally students were asked to blog their responses which enabled their peers to reply to comments and begin a process of deeper reflection. And for people with an HIV-positive partner who has an undetectable and untransmittable viral load, PrEP adds a layer of protection. PrEP uptake has increased steadily since it was approved by the Food and Drug Administration (FDA), but more progress is needed, says Carnevale.
In addition to observing, crafting explanations based on evidence, and asking questions, students will also pay close attention to effective listening and how it can provide a path to deeper learning. Generative AI works by leveraging deep learning techniques to create new data samples that are similar to the input data it has been trained on. The key components of generative AI models are neural networks, which are algorithms that are inspired by the way the human brain processes information. One of the most popular types of generative AI models is the generative adversarial network (GAN), which was introduced in 2014 by Ian Goodfellow and his colleagues.