vatican_banker

33 ms·

1.
by vatican_banker 10mo ago
DSPy implemented program of thought since a long time ago and it works great to solve user queries with code. What is great is that you can define DSPy signature of the type “question, data -> answer” where “data” is a pandas dataframe,
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by vatican_banker 1y ago
What hobbies are you passioned about? You hobbies is usually a good place to start looking.
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by vatican_banker 1y ago
Do it! I was in your situation in 2023 and decided to quit without a job lined up. I rested for 2 months and then, out of nowhere, I had energy and motivation to start exercising again and start working on my mental health (with the help of
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by vatican_banker 1y ago
Banks care _a lot_ where the data is store, hence most banks are inclined to keep customer data on-prem. Because data must be on-prem, banks are stuck in legacy infra paradigms. The whole org suffers, innovation is stiffled, yada yada… An o
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by vatican_banker 2y ago
The tool currently allows only one set of strong and weak models. I’d be really good to allow more than two models and change dynamically based on multiple constraints like latency, reasoning complexity, costs, etc.
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by vatican_banker 2y ago
> Trained routers are provided out of the box, which we have shown to reduce costs by up to 85% The answer is here. This is a cost-saving tool. All companies and their moms want to be in the GenAI game but have strict budgets. Tools like
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by vatican_banker 3y ago
Countless tools have promised to highlight "what's worth my attention". None of them have worked for me or my team. What's different on Struct? A few questions I jotted down while watching the video on Struct's land
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by vatican_banker 3y ago
Embarrassingly parallel means "singe task multiple data" or "multiple task single data". Canonical example: monte carlo simulations. With that out of the way, basic linear algebra operations that require sophisticated al
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by vatican_banker 3y ago
> numerical algebra work [...] is mostly embarrassingly parallel It's the exact opposite, most numerical linear algebra is _not_ embarrassingly parallel and requires quite an effort to code properly. That is why BLAS/LAPACK is
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by vatican_banker 3y ago
I find impressive the breadth and depth of Wolfram's writing. I wish I could be that productive and write that much. Nevertheless, it's exhausting to read him because his texts are full of hubris. This man needs to learn to edit h
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by vatican_banker 3y ago
According to the article, it is difficult to diagnose babies/kids/toddlers because "[...] they can’t speak”. The article also mentions that the kid didn't have the symptoms or physical manifestations of spina bifida, com
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by vatican_banker 3y ago
These companies are, most likely, targeting talent from China, South Korea, or South East Asia. Top talent from, say, Vietnam already speaks good English and many would jump to the opportunity to work in Japan under these conditions.
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by vatican_banker 4y ago
> does not come with the problems of consuming fish What kind of problems do mean? Environmental? Or health-related problems?
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by vatican_banker 4y ago
I know at least two: 1. SEON: https://seon.io/ 2.IPQS: https://www.ipqualityscore.com/
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by vatican_banker 5y ago
> the study doesn't measure happiness vs performance, it measures "how do you rate yourself" vs "the army's selection process for awarding medals". The author explains that happiness is subjective: > The
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by vatican_banker 5y ago
> Because advertising is manufactured demand. I see advertising radically different. People exhibit an spectrum of interest in products in the market, from “zero interest in buying” to “shut up and take my money”. Advertising works by co
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by vatican_banker 5y ago
Yes, mentioned almost at the end: > The separate guilty pleas entered by the hackers demonstrate that after Sullivan assisted in covering up the nature of the hack of Uber, the hackers were able to commit an additional intrusion at anoth
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by vatican_banker 5y ago
In what way data.table trumps dplyr? Genuinely interested in knowing. While data.table is faster than dplyr, data manipulations with data.table are difficult to read/understand/maintain. dplyr also grew into a full-fledge list of
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by vatican_banker 5y ago
Interesting... it doesn't seem to allow putting charts next to the spreadsheet though
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by vatican_banker 5y ago
grid.is looks more like a shiny app on steroids while Rows feel more like a hardcore spreadsheet. That being said, I haven't tried any of these.
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by vatican_banker 5y ago
Haven't heard from them before
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by vatican_banker 5y ago
The real power of this product is as a replacement of BI/Visualization tools. Imagine being able to connect Rows to a database and create "governed" sheets that look/work like dashboards with charts, tables, filters, etc
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by vatican_banker 5y ago
This is great. I've been looking for the equivalent of RShiny in the python world and never heard of streamlit before
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by vatican_banker 5y ago
Financial/fintech companies use services like these for fraud-detection on account opening. While validating an email is by no means and exhaustive and conclusive signal to classify a fraud/genuine user, verifying the validity of
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by vatican_banker 5y ago
> It's a mistake to apply vanilla statistical thinking here. The 12 participants [...] were extremely skewed towards enthusiasts/professionals It is still undetermined if having 12 highly-skilled professionals in the experiment
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by vatican_banker 5y ago
My honest and unscientific opinion is that the difference _is_ discernible but the listener needs to know what to hear for. Also, the reproduction quality is impacted by several factors like room, equipment, and recording quality (not just
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by vatican_banker 5y ago
>If I had one piece of advice to give on the subject it would be PCA the crap out of everything and understand what the top components are doing There are at least four issues with this advice (wrt doing data analysis): 1. How do you lin
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by vatican_banker 5y ago
There are several examples. This is one: https://www.theguardian.com/technology/2017/oct/26/kaspersky...
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by vatican_banker 6y ago
> ou shouldn't trust anybody other than yourself This is not good advice. I’d say find experts that you trust and be aware that these experts may commit mistakes as any other human. In short: find the experts that make the least mis
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by vatican_banker 6y ago
My org uses Google Docs as office suite and I find it quite good and prefer it over any flavour of Microsoft Office. Nevertheless, there's a _huge_ and vocal push against Google Docs suite in favour of Microsoft Office from some intern

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