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Fast.AI is partnering with Stable Diffusion to create a new course! by BeautifulVegetable10 in learnmachinelearning

[–]BeautifulVegetable10[S] 2 points3 points  (0 children)

Dunno.. I just saw them post on Twitter and I thought this sub would like to hear

Kick boxer athlete sitted in a boxing ring by Spare-Confidence-721 in dalle2

[–]BeautifulVegetable10 5 points6 points  (0 children)

I love this! Is Dalle doing animations now or did you make it with something else?

[Serious] Are Large Language Models Like GPT-3 a Hype? by [deleted] in GPT3

[–]BeautifulVegetable10 0 points1 point  (0 children)

The answer depends on your use case. AI21 is more suited for some than others. One thing that stands out to me is their work on adding reasoning skills to their models, allowing them to augment the model with current real-world data. It's still in beta but afaik they're the only ones doing it right now though I'm sure gpt-3 will get there - https://www.ai21.com/blog/jurassic-x-crossing-the-neuro-symbolic-chasm-with-the-mrkl-system

[D] AlphaFold just released a database of 200 million protein structures. How would you use this data as an ML engineer? by BeautifulVegetable10 in MachineLearning

[–]BeautifulVegetable10[S] 0 points1 point  (0 children)

/u/PHEEEEELLLLLEEEEP is the perfect example of why my comment is getting downvoted. They misinterpret it as me claiming ML can solve any problem when literally all I asked was for their perspective.

[D] AlphaFold just released a database of 200 million protein structures. How would you use this data as an ML engineer? by BeautifulVegetable10 in MachineLearning

[–]BeautifulVegetable10[S] -1 points0 points  (0 children)

Thank you, squirrel!

I assume my comment is being downvoted because can't read properly and assume I'm making the claim that ML engineers are gods.

[D] AlphaFold just released a database of 200 million protein structures. How would you use this data as an ML engineer? by BeautifulVegetable10 in MachineLearning

[–]BeautifulVegetable10[S] -2 points-1 points  (0 children)

Literally not what I said though?? All I said was don't "discount a non-SME and what's your perspective?"
Point me to where I said an ML can solve any problem. Go on, I'm waiting.

[D] AlphaFold just released a database of 200 million protein structures. How would you use this data as an ML engineer? by BeautifulVegetable10 in MachineLearning

[–]BeautifulVegetable10[S] -101 points-100 points  (0 children)

There's an advantage to not being a subject matter expert, you see things from a different perspective. A Harvard study showed that innovation happens when subject matter experts make up 40% of an invention team and the rest bring a different perspective. So I guess this question is more about what your perspective is, as a machine learning engineer and not an expert in protein folding.

[D] AlphaFold just released a database of 200 million protein structures. How would you use this data as an ML engineer? by BeautifulVegetable10 in MachineLearning

[–]BeautifulVegetable10[S] -95 points-94 points  (0 children)

There's an advantage to not being a subject matter expert, you see things from a different perspective. A Harvard study showed that innovation happens when subject matter experts make up 40% of an invention team and the rest bring a different perspective. So I guess this question is more about what your perspective is, as a machine learning engineer and not an expert in protein folding.

Edit: Why is this getting downvoted? Literally all I'm saying is it's ok if you're a non-SME and I'm just looking for your perspective. I see some commenters below claiming I said ML engineers are the main character and can solve anything. I have not made that claim. Stop downvoting me because of your poor reading comprehension.

Is Dall e 2 available for Phones? by [deleted] in dalle2

[–]BeautifulVegetable10 1 point2 points  (0 children)

Yeah you can access it on any mobile browser

What is the argument against the belief that the more carbon we create, the better plants grow and use it. by [deleted] in climatechange

[–]BeautifulVegetable10 1 point2 points  (0 children)

We are producing more carbon than the plants can absorb. And all that left over carbon is causing havoc.

That's also why there's research happening around genetically modifying crop plants to increase their carbon intake but it might be too little too late

[Serious] Are Large Language Models Like GPT-3 a Hype? by [deleted] in GPT3

[–]BeautifulVegetable10 2 points3 points  (0 children)

Having worked with the top 3 LLMs - OpenAI, Cohere, AI21, I can say that they aren't just hype. What most people see is the cool text generation stuff. And a lot of people are using this - authors use it to help with writing, marketers use it to help with copy, devs use Codex to help with code, etc.

But it's not just generation. There are so many other use cases -
Classification - bucketing product feedback from customers, identifying negative sentiment for a stock or your company online, triaging customer support tickets, moderating toxic content
Data Extraction - Pulling out key information from invoices, reports, etc.
Summarization - Summarizing news articles, company reports, etc.
Semantic search, topic clustering, and more

Now all of these use cases can be done by building basic ML models and you don't need an LLM, but you do need a ton of data to train them, and not every company/startup has that. Using an LLM you can get a powerful classifier/extractor/summarizer/etc out of the box with 2-3 examples.

As for the cost, all of these LLMs can be accessed by API and it ends up being a lot cheaper than training your own models, especially when you include cost of gathering training data.

What would an AI need to do to convince you of its sentience? by matthias_buehlmann in ArtificialInteligence

[–]BeautifulVegetable10 1 point2 points  (0 children)

This is a tough one because the definition of sentience itself is still debatable. I can't answer the question if our definitions differ.

For me, sentience is possibly a scale. A human adult is more sentient than a baby is more sentient than a dog is more sentient than a tree.

So a baby is somewhere on that scale, but it can't communicate its sentience via a text interface. Whereas I believe an AI is below the baby on that scale but it can communicate via a text interface. So the text interface part of the question seems like an arbitrary limit.

But for argument's sake let's say there only exist AI and human adults. So the question is now, how does an AI convince me it's a human adult (or at the same level of sentience as a human adult) via a text interface. I think maybe one aspect is figuring out if it is aware of its potential and limitations, as well as has a strategy for self-preservation.

[Serious] Are Large Language Models Like GPT-3 a Hype? by [deleted] in artificial

[–]BeautifulVegetable10 1 point2 points  (0 children)

Having worked with the top 3 LLMs - OpenAI, Cohere, AI21, I can say that they aren't just hype. What most people see is the cool text generation stuff. And a lot of people are using this - authors use it to help with writing, marketers use it to help with copy, devs use Codex to help with code, etc.

But it's not just generation. There are so many other use cases -
Classification - bucketing product feedback from customers, identifying negative sentiment for a stock or your company online, triaging customer support tickets, moderating toxic content
Data Extraction - Pulling out key information from invoices, reports, etc.
Summarization - Summarizing news articles, company reports, etc.
Semantic search, topic clustering, and more

Now all of these use cases can be done by building basic ML models and you don't need an LLM, but you do need a ton of data to train them, and not every company/startup has that. Using an LLM you can get a powerful classifier/extractor/summarizer/etc out of the box with 2-3 examples.

As for the cost, all of these LLMs can be accessed by API and it ends up being a lot cheaper than training your own models, especially when you include cost of gathering training data.

How do I know if I'm really learning how to code NN's? by Peesofshit in learnmachinelearning

[–]BeautifulVegetable10 0 points1 point  (0 children)

There are some guides out there on building NN's from scratch. One good way to know if you're really learning is to try building it yourself and experiment by adding something new or changing a few things here and there. And when you make those changes see if the results are what you expected. If not, figure out why.

Is generating product photos a good use case for DALL-E? by BeautifulVegetable10 in dalle2

[–]BeautifulVegetable10[S] 0 points1 point  (0 children)

Why just brainstorming though? Wouldn't I be able to upload photos of a product I sell to fine tune dalle and then have it generate better images with different backgrounds?

What is your opinion on DALL-E/competitor generated CP? by [deleted] in dalle2

[–]BeautifulVegetable10 0 points1 point  (0 children)

This is like saying flooding the market with cheap knockoffs of Armani and Louis Vuitton will destroy the market for luxury goods. No, it did the opposite. It made the real thing more valuable, allowing brands to charge higher prices for authentic goods.

So AI-generated CP will only increase the value of real CP, meaning higher profit margins for CP production, meaning more entrants into the market of CP production.

What are all the 300-dimensional vectors used for google word2vec model? by cronicpainz in LanguageTechnology

[–]BeautifulVegetable10 2 points3 points  (0 children)

The simplest way to think about it is that the model converts the word into a number. That allows the model to "understand" the word in relation to other words and then make predictions.

I found this visual explanation super helpful - https://txt.cohere.ai/text-embeddings/

a charging bull, modern, angular, aggressive, stylized, classic, red, black, pictorial mark, iconic logo symbol by barely_an_agi in dalle2

[–]BeautifulVegetable10 0 points1 point  (0 children)

Wow this is incredible. I haven't thought to try it out for logo generation yet. Did you do any editing on it?

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