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- A ConnectedPDF (cPDF) file is a regular PDF file with an embedded unique identification code. Office documents and legacy PDFs can be converted into cPDFs with a simple click using a cPDF-enabled application or service, such as Foxit’s applications and web services.
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Connect helps you organize your study time so you can tackle the assignments that need attention first. The navigation on the left of this page is always available through Connect: My Account – see your McGraw Hill account details. To Do – see upcoming assignments. Calendar – view assignment due dates by day, week or month.
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The Student Guide to Using Connect®. We’ll walk you through the basics and show you how to navigate, complete assignments and access reports on Connect.
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Connect exists so that WA public teachers, students and parents engage and communicate with each other in a stimulating and interactive virtual space. Connect is an online system that supports your learning with lesson content, notices, discussion forums, libraries and the ability to view your overall marks.
3 days ago · ENVIRONMENT. • Set up the publicly owned Great British Energy, and invest in clean energy – almost all of the country’s electricity to be UK-generated and zero carbon by 2030. • Upgrade ...
- It’S Just Adding One Word at A Time
- Where Do The Probabilities Come from?
- What Is A Model?
- Models For Human-Like Tasks
- Neural Nets
- Machine Learning, and The Training of Neural Nets
- The Practice and Lore of Neural Net Training
- “Surely A Network That’S Big Enough Can Do Anything!”
- The Concept of Embeddings
- Inside Chatgpt
That ChatGPTcan automatically generate something that reads even superficially like human-written text is remarkable, and unexpected. But how does it do it? And why does it work? My purpose here is to give a rough outline of what’s going on inside ChatGPT—and then to explore why it is that it can do so well in producing what we might consider to be...
OK, so ChatGPT always picks its next word based on probabilities. But where do those probabilities come from? Let’s start with a simpler problem. Let’s consider generating English text one letter (rather than word) at a time. How can we work out what the probability for each letter should be? A very minimal thing we could do is just take a sample o...
Say you want to know (as Galileo did back in the late 1500s) how long it’s going to take a cannon ball dropped from each floor of the Tower of Pisa to hit the ground. Well, you could just measure it in each case and make a table of the results. Or you could do what is the essence of theoretical science: make a model that gives some kind of procedur...
The example we gave above involves making a model for numerical data that essentially comes from simple physics—where we’ve known for several centuries that “simple mathematics applies”. But for ChatGPT we have to make a model of human-language text of the kind produced by a human brain. And for something like that we don’t (at least yet) have anyt...
OK, so how do our typical models for tasks like image recognition actually work? The most popular—and successful—current approach uses neural nets. Invented—in a form remarkably close to their use today—in the 1940s, neural nets can be thought of as simple idealizations of how brains seem to work. In human brains there are about 100 billion neurons...
We’ve been talking so far about neural nets that “already know” how to do particular tasks. But what makes neural nets so useful (presumably also in brains) is that not only can they in principle do all sorts of tasks, but they can be incrementally “trained from examples” to do those tasks. When we make a neural net to distinguish cats from dogs we...
Particularly over the past decade, there’ve been many advances in the art of training neural nets. And, yes, it is basically an art. Sometimes—especially in retrospect—one can see at least a glimmer of a “scientific explanation” for something that’s being done. But mostly things have been discovered by trial and error, adding ideas and tricks that ...
The capabilities of something like ChatGPT seem so impressive that one might imagine that if one could just “keep going” and train larger and larger neural networks, then they’d eventually be able to “do everything”. And if one’s concerned with things that are readily accessible to immediate human thinking, it’s quite possible that this is the case...
Neural nets—at least as they’re currently set up—are fundamentally based on numbers. So if we’re going to to use them to work on something like text we’ll need a way to represent our text with numbers. And certainly we could start (essentially as ChatGPT does) by just assigning a number to every word in the dictionary. But there’s an important idea...
OK, so we’re finally ready to discuss what’s inside ChatGPT. And, yes, ultimately, it’s a giant neural net—currently a version of the so-called GPT-3 network with 175 billion weights. In many ways this is a neural net very much like the other ones we’ve discussed. But it’s a neural net that’s particularly set up for dealing with language. And its m...
Dec 5, 2023 · After installing Acrobat Reader, all you have to do is double-click on any PDF you want to open. And as you can see, it has a whole lot more features for controlling your view, as well as the ability to export PDFs to an editable format, such as a Microsoft Office document.
1 day ago · With Idaho’s law in effect, women have routinely been airlifted out of Idaho to receive abortions in other states. The court ruled that emergency abortions could proceed in Idaho, but its failure to resolve other conflicts between state and federal law on this issue shows that its work on abortion is far from over.
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