mlepath

5 ms·

1.
A Boy Who Cried AGI(medium.com)
5 points by mlepath 2y ago|1 comments
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by mlepath 2y ago
This is an awesome project! Thanks for taking time to document this. What's next on your plate? How do we follow you?
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by mlepath 2y ago
All companies that are doing something with the current iteration of "AI" are underwater. Sam Altman says that the pro tier of ChatGPT is losing money, Adobe is losing tons on firefly, ... This is pretty typical for silicon valley
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by mlepath 2y ago
In ML everything is a tradeoff. The article strongly suggests using dot product similarity and it's a great metric in some situations, but dot product similarity has some issues too: - not normalized (unlike cosine simularity) - heavil
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by mlepath 2y ago
Awesome project! I love the idea of not sending my data to a big company and trust their TOS. The effectiveness of coding assistant is directly proportional to context length and the open models you can run on your computer are usually much
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by mlepath 2y ago
The author appears to be confused about the difference between research and production. In research more generic approaches typically win because they get resourced much better (plus the ever-growing compute and data have helped, but there
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by mlepath 2y ago
> This reinforce the idea that there is no real strategic advantage in owning a model For these models probably no. But for proprietary things that are mission critical and purpose-built (think Adobe Creative Suite) the calculus is very
8.
by mlepath 2y ago
Wait, I thought every pornsite already had age verification, that modal that pops up and says "are you sure you are over 18?"
9.
by mlepath 2y ago
As ML practitioner I am not a big fan of the concept of singularity and wholly agree that IF it happens it will be more like sunrise than a light switch, but... I think thinking about it IS useful. Problems like value alignment are really d
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by mlepath 2y ago
I worked at Meta, I am not sure the hiring was ever "diverse". DEI always seemed like an activity they did for show. This changes nothing honestly.
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by mlepath 2y ago
Great work! Do you see any artifacts from having trained on synthetic data? Is there a natural benchmark dataset (real tables in the wild)? In my experience synthetic data can only take you so far, it has all the quirk the dataset creator c
12.
by mlepath 2y ago
This is really awesome. Tested it on both Nvidia and Mac GPUs. Interested to know how debugging in a real application would work since WASM is pretty hard to debug and GPU code is pretty hard to debug. I assume WASM GPU is ... very difficul
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by mlepath 2y ago
The process-centric taxonomy in this paper is one of the most structured frameworks I’ve seen for anomaly detection methods. It breaks down approaches into distance-based, density-based, and prediction-based categories. In practice (been
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Nvidia Launches AI Foundation Models for RTX AI PCs(nvidianews.nvidia.com)
3 points by mlepath 2y ago|0 comments
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by mlepath 2y ago
The first rule of programming with LLMs is don't use them for anything you don't know how to do. If you can look at the solution and immediately know what's wrong with it, they are a time saver otherwise... I find chat for se
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by mlepath 2y ago
At University I once talked to a former Soviet professor about publications and he mentioned how they proliferated. It was uncommon to have a lot of publications until recently and now everyone has a really high count. I think we came to an
17.
by mlepath 2y ago
I have had a somewhat similar journey but 14 years instead of 25 and I always wonder how it would be different today. We were lucky enough to grow up with the industry and progressively learn more complexity. The kids out of school today ar
18.
by mlepath 2y ago
This is a great application of various domains of ML. This reminds me of Vesuvius Challenge. This kid of thing is accessible to beginners too since the data by definition are pretty limitted.
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by mlepath 2y ago
Hello, fellow Metamate ;)
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by mlepath 2y ago
I have worked with Jetson Orin platform, and honestly Nvidia has something that is really easy to work with there. The Jetsons are basically a full GPU (plus some stuff) at very low power. If I were tasked with building a robot it would lik
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by mlepath 2y ago
Yea, people have a really hard time dealing with data leakage especially on data sets as large as LLMs need. Basically if something appeared online or was transmitted over the wire should no longer be eligible to evaluate on. D. Sculley had
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by mlepath 2y ago
Naive question, do people no longer respect robots.txt?