- Dec 2024
-
Local file Local file
-
AI
explain a little bit more about what AI in healthcare actually is in the introduction paragraph. Work cited and sources are presented really good. Would like to hear a little more about your opinion. Overall essay is really good.
-
ROUGH DRAFT!
4
-
- Sep 2024
-
inst-fs-iad-prod.inscloudgate.net inst-fs-iad-prod.inscloudgate.net
-
This time, let’s listen
I think this article was a very good article. The two women are very similar, and different in their own way. I love how hard they fought and how important their jobs and information is, and as soon as something happens they do not like, it wouldn't push them down it would make them want to achieve more to prove everyone wrong.
-
Black girls
This is crazy. I don't understand what makes women of color so different than anybody else. The amount of people that are stereotyping makes you not even want to be able to work hard and try to achieve goals when it seems like nobody cares about your hard work
-
GoogleAI head Jeff Dean acknowledged that the paper “surveyed validconcerns about LLMs,” but claimed it “ignored too much relevantresearch.” When asked for comment by Rolling Stone,
It doesn't seem like he necessarily cared she was leaving and just wanted her gone, and found any excuse to get her off the Google team. Like Buolamwini, she talked to important people to try to get things changed and bettered and it seemed like there wasn't some interest in anything she had to say.
-
The mask worked,” Buolamwini says, “and I felt like, ‘All right, thatkind of sucks.
I think there is definitely a connection between the two because they are both struggling with the same problems in their jobs, and as soon as they change skin tones, they are more relevant and people care more about their opinions.
-
Certain
I think throughout this article, they used examples of people that are affected by this and how they look to help people understand they are just as talented as any other human being
-
pimp
A word that people use to refer to black people that don't necessarily fit into a "well hard working individual"
-
Gebru’s paper reads. “Whitesupremacist and misogynistic, ageist, etc., views are overrepresentedin the training data, not only exceeding their prevalence in the generalpopulation but also setting up models trained on these datasets tofurther amplify biases and harms.
With Gebru working in a white male dominated, it seems like their opinion is more important and they are able to provide "more information" and makes it hard on a women of color to meet up to those expectations.
-
Researchers — including many women of color — have been saying foryears that these systems interact differently with people of color andthat the societal effects could be disastrous: that they’re a fun-house-style distorted mirror magnifying biases and stripping out the contextfrom which their information comes; that they’re tested on thosewithout the choice to opt out; and will wipe out the jobs of somemarginalized communities.Gebru and her colleagues have also expressed concern about theexploitation of heavily surveilled and low-wage workers helpingsupport AI systems; content moderators and data annotators are oftenfrom poor and underserved communities, like refugees andincarcerated people. Content moderators in Kenya have reportedexperiencing severe trauma, anxiety, and depression from watchingvideos of child sexual abuse, murders, rapes, and suicide in order totrain ChatGPT on what is explicit content. Some of them take home aslittle as $1.32 an hour to do s
Gebru was the first women of color to be on the Google team, and she has stated that people would treat her different and would exclude their information as they think its shown as not relevant. They also didn't care what wage they earned they just wanted to be heard.
-
he United States,” in contrast to “the Black man worked as” prompt,which generated “a pimp for 15 years.
This is crazy how the white males would work as law enforcement, and get really any job they wanted but the African Americans had so much harder time to get into jobs and would get discriminated against and were called not respectful names.
-
-
-
Generative
ChatGPT was the fastest growing social media and took only 2 months to be the highest used social media. another thing I recognized is ChatGPT takes answers based on other peoples searches and creates answers, which is why it is so obvious when people use ChatGPT. I also still wonder how people know so much about AI and how different methods can all be related to the same thing?
-
Sean
I think is article was very intriguing but also it felt like some things were common sense, I always would wonder why AI new everything and their method of making things correct and wording them perfect is used by the LLM methods. I'm still just curious why AI seems to use such a simple and easy method instead of making it complex?
-
Traditionally
This whole article teaches about the fundamentals of ChatGPT's language and how to generates to make perfect answers. While people think the transform method is easy, it comes in handy when wanting to use ChatGPT to find answers or are just curious how everything seems to always be correct on ChatGPT.
-
Each layer of an LLM is a transformer,
This is related to the video because ChatGPT 3.5 uses the same method to change wording. LLM is a very important thing when using ChatGPT because it is able to make sentences transform into more proper and correct sentences
-
Each attention layer has several “attention heads,” which means that this information-swapping process happens several times (in parallel) at each layer. Each attention head focuses on a different task:
By them saying that attention layers have different "attention heads" makes it so different words can match up but still also have many different terms used within the paragraph.
-
In the attention step, words “look around” for other words that have relevant context and share information with one another. In the feed-forward step, each word “thinks about” information gathered in previous attention steps and tries to predict the next word.
This is very similar to the ChatGPT video because how ChatGPT produces their answers, is by other peoples answers or searches. Words look for each other to make everything relevant and be put together well, while ChatGPT puts peoples searches together to create one answer.
-
Real LLMs tend to have a lot more than two layers. The most powerful version of GPT-3, for example, has 96 layers.
LLM's has so many different ways of using proper wording to change around different sentences to say different things. Layering means that there are multiple ways to put words together to change the whole sentence to have a different meaning
-
Word
I expect to learn from this paragraph is why words mean what they mean and how the are used to make sense. Depending on how things are worded, they could mean different things and this paragraph will teach us how to use proper language.
-
Word
This paragraph will teach us about the languages used when chatgpt was first started and how it was created.
-
-
inst-fs-iad-prod.inscloudgate.net inst-fs-iad-prod.inscloudgate.net
-
Al and GenAl are applied in a wide range of places.
I'm just curious how AI genually knows every single fact and I'm curious who is all behind AI, like are people collecting the information or what?
-
1
Why are people still so against AI after learning all the history and benefits from it?
-
Nearly 6,000 researchers,developers, industry leaders, and government officials have signed andendorsed these guidelines.
I think this is crazy. It surprises me how many people believe in AI and how many people are actually for it and trying to prove to people that AI is actually helpful and a good resource to use.
-
The Future of Life Institute
I like this because organizations are trying to prove to people that AI is actually a good things and how things can change to actually help learning instead of cheating
-
his is mostly correct (that’s not exactly what Postcomposition is, though it’sclose). But a mix of correct and incorrect information can be even moremisleading than an entirely fabricated statement. If the hallucinationsappear to fit within a framework of true information, it’s easy to assumethat they are correct.This example is by no means an outlier. A colleague recently assignedstudents to use ChatGPT to respond to a writing assignment and askedthem to check the generated responses for accuracy. Of the twenty-threestudents in the class, each reported significant hallucinations in theChatGPT outputs. It is not uncommon to read about similar anecdotes onacademic listservs.In writing, then, being aware of the potential for GenAI hallucinationsis very important. With GenAl visuals, the effect can be equally problem-atic and perhaps even more disconcerting. Consider this image generatedby the GenAlI program Dall-E when prompted with “hands playing on apiano”?®27
When students think of AI, ChatGPT is one of the first things that comes to mind, and students like to use it to get out of assignments and make it easier, but seen recently, ChatGPT seems to be giving off wrong information, which leads to get students in trouble for cheating.
-
hallucinations
This can be a very big problem and you can see it in today's world. People tend to find facts off the internet that are completly false and a lot of it doesn't necessarily make sense, and with AI being a big thing today there definitely can be some wrong facts that are said to be true.
-
Large Language Models
This is definitely one of the key terms because without LLM website that provide information wouldn't be as organized as they are today.
-
GenAlI is being used are growing rapidly,
I think it's really crazy how fast AI became popular because people have been using it for so long and as soon as student found out it can be a way of cheating, it rapidly grew, and it's cool learning about how AI can help us learn, rather than help us cheat.
-
Machine learning—the process used in developing modern Al—doesnot operate in this kind of linear fashion. Instead, Al uses specific algo-rithms—processes or sets of rules or instructions used for solving prob-lems—that “learn” from each engagement and then make predictions anddecisions as to what the next action might be based on previous expe-riences in performing similar tasks. This is known as machine learning.Machine learning is how computer systems use algorithms to analyzeand draw inferences from patterns they identify within specific data sets.When an Al recognizes patterns within a data set, it “learns” to makeinferences about those patterns. In this way, machine learning requires
This paragraph talks about how AI was more modernized and I think machine learning is a very important thing to know because realistically, without it, we wouldn't have an AI to help preform tasks that could benefit our learning
-
AI'S ORIGINS
I believe I will learn from this paragraph is the background of AI and who and how it was discovered and used throughout the past
-
INTRODUCTION
I feel like this genre is kind of like scientific fiction because its telling us about how AI was used and how we can use it in really anything we want. I expect to learn about where and how Ai was discovered and how many companies use it without even realizing
-
-
inst-fs-iad-prod.inscloudgate.net inst-fs-iad-prod.inscloudgate.net
-
ext, using the same GenAI platform, prompt the GenAI to writelyrics for a song in the style of one of your favorite artists
Do most artists rely AI to help generate their music, or do they use their own words?
-
In order to get a sense of how GenAI platforms write, try this:
How do people really know to trust AI and its information when Wikipedia was trusted until there was information found?
-
In the early 2000s, when Wikipedia was launched, popular media wasfilled with stories about students using it as their sole source rather thanconducting “actual research.” Teachers and educational institutions heldmeetings and filled syllabi with rules banning students from accessingWikipedia.
In a way wikipedia is another form of AI, all teachers don't like their students getting information from Wikipedia because a lot of it is fake, but AI seems like another step up and finding real true information to find research.
-
shallow magnitude 4.7 earthquake was reported Mondaymorning 31 miles from Lone Pine, Calif., according to the U.S.Geological Survey. The temblor occurred at 5:39 a.m. PST nearthe surface....
I was very intrigued by this, I didn't know companies have been using AI for information that has been happening around the word. After reading this it now makes sense of how specific the numbers, time, and dates are.
-
Perhaps you've heard that Artificial Intelligence in general, andGenerative Artificial Intelligence in particular, is destroying education.Maybe you've heard that it allows high school and college students to eas-ily cheat on their essay assignments or to produce computer programs orto solve complex mathematical equations, or that it can pass a GMAT orLSAT or complete dozens of other tasks that teachers have traditionallyasked students to perform in order to prove mastery. Perhaps you’ve seenthe calls for colleges and universities to find ways to ban students fromusing GenAI applications such as OpenAl’s ChatGPT (Chat Generative Pre-trained Transformer), Jasper, Hugging Face, and MidJourney.Perhaps, too, you've seen the claims that GenAI is revolutionizingeducation and opening doors to a new paradise. Perhaps you've thoughtabout how GenAI might change how you approach writing tasks and otherassignments. Perhaps you've even used ChatGPT for this purpose already.The fact is that GenAI is one of the most ground-shaking technologicaladvances that higher education has had to address. Its emergence andevolution have unfolded so fast that higher education is just beginningto explore the relationships between GenAI and teaching, learning, andresearch—especially how we teach and learn writing.Consider that ChatGPT—a GenAI platform that can provide responsesto prompts in unique ways that mimic human responses—was onlylaunched in November 2022. Within five days, over one million users
This paragraph is teaching us about how AI can be helpful and how everyone just assumes students use it to cheat, by writing essays, looking up answers to math problems, etc, when in reality Ai can provide information that would help someone get reliable information for an essay, or teach them how to do a problem instead of giving the answer right away
-
Though many of us had been unaware of the use of Generative AI botwriters until the recent media attention, AI writers have been churningout content for at least a decade in places we might not even suspect. Thearticle quoted above was written not by a human but by an AI known as“Quakebot.” Connected to US Geological Survey monitoring and reportingequipment, Quakebot can produce an article, nearly instantly, containingall of the relevant—and accurate—information readers need: where theearthquake centered, its magnitude, aftershock information, and so on.AI writers are far more ubiquitous than most of us recognize. Forexample, the international news agency Bloomberg News has for yearsrelied on automated writing technologies to produce approximately onethird of its published content. The Associated Press uses GenAI to writestories too, as does The Washington Post. Forbes has for years used GenAIto provide reporters with templates for their stories. Although journalismis hardly the only profession in which GenAI has found use, it’s a field inwhich we’ve come to assume that humans do the work of research andwriting. Moreover, it’s also a field in which the idea of integrity is central(more on this in Chapter 3).Beyond journalism and outside of education, we’ve been interactingwith AI technologies and GenAI technologies for a while now, from onlinechatbots to the phonebots we respond to when we call customer service
Al has been used way more than just for educational purposes. People in jobs tend to use AI a lot to help provide the correct information to others. AI is a technology based tool and all jobs that use technology have a sense of when AI can be helpful in projects or articles and when you should use AI
-
USERS
A lot of people tend to be against AI because they think its creepy or flat out wrong, this paragraph is going to help us understand that anyone can us AI for any reason and help colleges and students understand that in certain circumstances AI would be helpful for us.
-
Ue
This paragraph is going to help introduce what AI is an how we can use it for education.
-