Chatbots Life

MAY 17, 2023

So, if you’re tired of doing everything yourself, or if you just want to feel like a boss with your own personal AI assistant, Auto-GPT is your new best friend. I am not just a language model that can chat with you about anything and everything under the sun. Yeah, that’s right! From Python to Java to C++, you name it, I can handle it.

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Heartbeat

APRIL 4, 2023

Code text editor: You will need a code text editor, like VS Code, Atom, or Sublime Text, to write and initiate your python commands. A pre-trained convolutional neural network (CNN) : This is used to extract features from the content and style images.

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Hacker News

NOVEMBER 10, 2021

The Entangled Limit of Everything. Think of it as the entangled limit of everything that is computationally possible: the result of following all possible computational rules in all possible ways. In a sense, everything would be simple if every path in the graph were separate: &#10005. &#10005. everything.)

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Hacker News

MARCH 15, 2023

But through the LUI provided by ChatGPT those bullet points can be turned into an “essay” that can be generally understood—because it’s based on the “shared context” defined by everything from the billions of webpages, etc. Will we eventually have automated everything? Discovered everything? Invented everything?

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Hacker News

JANUARY 9, 2024

To us it’s profoundly satisfying to see what has been done over the past three decades with everything we’ve built so far. And indeed over the past several years the seeds of essentially everything we’re delivering today in Version 14.0 immediately knows everything the Wolfram Language does. Our R&D portfolio is broad.

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Hacker News

FEBRUARY 14, 2021

Once she was sure everything was correct, she pressed "B" for "beam start" There was no noise, there never was, but after a moment, the terminal read: "Malfunction 54", and then "Treatment Pause" Error codes were no surprise. That, at first, was the diagnosis. It didn't seem like it would happen again.

Machine Learning 181

Machine Learning Machine Learning 181

Dataconomy

AUGUST 1, 2023

Graph Neural Networks (GNNs) GNNs are a class of neural networks designed to work with graph-structured data, such as molecular graphs, where nodes represent atoms and edges represent chemical bonds. Oh, are you new to AI, and everything seems too complicated ? Keep reading… AI 101 You can still get on the AI train!

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Hacker News

FEBRUARY 3, 2023

Sometimes textbooks will gloss over everything; sometimes they’ll give some kind of “common-sense-but-outside-of-physics argument”. It also helps that phenomena about things like molecules in statistical mechanics are much more familiar to us today than those about atoms of space or branches of multiway systems.

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DagsHub

OCTOBER 30, 2023

While active learning may seem complicated on the surface, breaking it down into its atomic pieces makes it more digestible and easy to understand. Note: For reference the labeling process in the Jupyter Notebook happens in steps 9-B (think hexadecimal counting!) Additionally, by using Data Engine, a lot of the heavy lifting is done for us.

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Machine Learning Machine Learning Data Engineering Data Engineer 64

AssemblyAI

MARCH 21, 2023

This article will recap on some highly impactful applications of GNNs, the first article in a series that will take a deep dive into Graph Machine Learning, giving you everything you need to know to get up to speed on the next big wave in AI. And why do Graph Neural Networks matter in 2023?

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AssemblyAI

MAY 10, 2023

Through random motion, the atoms in a drop of food coloring will spread out to create a uniform color ( source ) Diffusion models work by applying this concept to the image space. Given an image, we can diffuse it, which corresponds to slightly altering the pixel values in the image over time.

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Snorkel AI

SEPTEMBER 12, 2023

It has designers, it has engineers, it has everything. Everything requires a multidisciplinary team. And, for those saying the answer is simply creating a new regulatory agency, it is useful to remember that it took 12 years from the first detonation of a nuclear warhead to the creation of the IAEA [International Atomic Energy Agency].

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Data Scientist Data Science AI AI 59

Snorkel AI

SEPTEMBER 12, 2023

It has designers, it has engineers, it has everything. Everything requires a multidisciplinary team. And, for those saying the answer is simply creating a new regulatory agency, it is useful to remember that it took 12 years from the first detonation of a nuclear warhead to the creation of the IAEA [International Atomic Energy Agency].

Data Scientist 59

Data Scientist Data Science AI AI 59

Flipboard

AUGUST 1, 2023

But it’s also an area where the actual technology feels slippery, and everything we think we know about it feels open to revision. UN Secretary-General António Guterres has echoed the call. We’re in the “unknown impact, easier to influence direction” stage on AI. This isn’t an area of intractable gridlock in DC, at least not yet.

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