Trial and error. I recommend looking up non-weighted exercise, stretches, and activities that target the body parts you are interested in, and start trying them.
I'm not surprised. LLMs are not good at those problems. There is a lot of hype, it not good at every problem, but it is quite good at some of them. If you have a classical NLP task, then it is good, particularly GPT4.…
Google engineers invented most of the primary innovations in NLP in the last decade, such as transformers and word2vec which started it all, that led to the current stack that OpenAI is built on. Their best public…
Drug trials are already double-blind and highly regulated, particularly stage 3, so further controlling for the corruption you are suggesting doesn't seem necessary. If there is evidence (hard evidence not hearsay or…
It is extremely common among research universities where they try to own all your ideas. I remember a professor had a side business cleaning pools which had nothing to do with his research area. The university found out…
I agree LLMs alone aren't good at search but their embeddings replace the need for stemming, manual synonym lists, etc in most cases. LLMs can also be used for query understanding which can improve the keywords…
There are definitely use cases where you want a render loop in web, pioneered by React, instead of traditional approaches for a web application. I think the pendulum swung too far and too many sites are being built as a…
That is machine learning or more colloquially: AI. A pretty cool result regardless.
I found that stemming the text before generating vectors helps increase recall and the vectors still capture context, etc. However it does hurt precision because some information is lost by stemming. The more recent…
Awesome!
Imagine if every big box store parking lot was covered with a solar panel roof? Customers walk to the store in shade and out of rain, cars aren't extremely hot in summer when customer returns, electricity for EVs right…
No it's designed to generate text: summarize some text, grocery list for a steak dinner, name ideas, short stories, etc. I think a lot of people want LLMs to be encyclopedias, but that's not what they are designed to be…
Yeah pretty much. The data is pretty clear that life for most of the global population is getting objectively better overall such as declining poverty rates. Climate change is certainly looming and starting to have a…
Classic NLP tasks (eg classification, summarization, translation, etc) just work with GPT-4 mostly. It is probably still possible to beat GPT-4 with a fine-tuned model, but it isn't easy. The open source LLMs are pretty…
Storage costs are an excellent reason as someone else said. Another reason is security, less data sitting around to be leaked, either accidentally or purposely, the better. Another reason is privacy, less data sitting…
Crypto isn't some completely new thing that needs a new set of regulatory rules. The tech behind it is new, but it's really just another currency for the most part. Are there some differences? Yes! But it is not so…
In an ideal world, regulatory agencies would also spend significant resources on education. Unfortunately many of them don't have enough resources for rule making and enforcement, their primary mandate. However, there…
I really hope just using static types alone doesn't give people confidence to refactor. It of course depends what "refactor" really means. Are we talking about a function, class, module/library, an entire application?…
While true, GPT-4 kinda just gets a lot of the classic NLP tasks, such as NER, right with zero fine-tuning or minimal prompt engineering (or whatever you want to call it). I haven't done an extensive study, but I do NLP…
Public transit isn't as good, wildfires, and lack of rain means whatever is in the air lingers for longer.
Specifically on high/low income intertwined, yes. There is certainly some segmentation, but there are also places where one street is good and the very next street is bad and the next street is good. It's an interesting…
I don't. I am very happy to not use Vitess and more than willing to recommend your competitors. Don't feel bad.
I didn't claim that I am dealing with a gigantic workload (total QPS is a lot higher btw). Rather I claimed we are at the point where a distributed database is a good idea if the business wants to continue to scale…
I'm not sure what "more proven" exactly means. If you mean, it is not as well known and used in US? Yes that's true because the core developers are Chinese. If you mean, it hasn't been used at the same scale in…
Spanner and Cassandra really shouldn't be in the same sentence. They are optimized for very different use cases. The "obsolete" part of that quote does apply to Spanner, TiDB, and CockroachDB in my experience. I haven't…
Trial and error. I recommend looking up non-weighted exercise, stretches, and activities that target the body parts you are interested in, and start trying them.
I'm not surprised. LLMs are not good at those problems. There is a lot of hype, it not good at every problem, but it is quite good at some of them. If you have a classical NLP task, then it is good, particularly GPT4.…
Google engineers invented most of the primary innovations in NLP in the last decade, such as transformers and word2vec which started it all, that led to the current stack that OpenAI is built on. Their best public…
Drug trials are already double-blind and highly regulated, particularly stage 3, so further controlling for the corruption you are suggesting doesn't seem necessary. If there is evidence (hard evidence not hearsay or…
It is extremely common among research universities where they try to own all your ideas. I remember a professor had a side business cleaning pools which had nothing to do with his research area. The university found out…
I agree LLMs alone aren't good at search but their embeddings replace the need for stemming, manual synonym lists, etc in most cases. LLMs can also be used for query understanding which can improve the keywords…
There are definitely use cases where you want a render loop in web, pioneered by React, instead of traditional approaches for a web application. I think the pendulum swung too far and too many sites are being built as a…
That is machine learning or more colloquially: AI. A pretty cool result regardless.
I found that stemming the text before generating vectors helps increase recall and the vectors still capture context, etc. However it does hurt precision because some information is lost by stemming. The more recent…
Awesome!
Imagine if every big box store parking lot was covered with a solar panel roof? Customers walk to the store in shade and out of rain, cars aren't extremely hot in summer when customer returns, electricity for EVs right…
No it's designed to generate text: summarize some text, grocery list for a steak dinner, name ideas, short stories, etc. I think a lot of people want LLMs to be encyclopedias, but that's not what they are designed to be…
Yeah pretty much. The data is pretty clear that life for most of the global population is getting objectively better overall such as declining poverty rates. Climate change is certainly looming and starting to have a…
Classic NLP tasks (eg classification, summarization, translation, etc) just work with GPT-4 mostly. It is probably still possible to beat GPT-4 with a fine-tuned model, but it isn't easy. The open source LLMs are pretty…
Storage costs are an excellent reason as someone else said. Another reason is security, less data sitting around to be leaked, either accidentally or purposely, the better. Another reason is privacy, less data sitting…
Crypto isn't some completely new thing that needs a new set of regulatory rules. The tech behind it is new, but it's really just another currency for the most part. Are there some differences? Yes! But it is not so…
In an ideal world, regulatory agencies would also spend significant resources on education. Unfortunately many of them don't have enough resources for rule making and enforcement, their primary mandate. However, there…
I really hope just using static types alone doesn't give people confidence to refactor. It of course depends what "refactor" really means. Are we talking about a function, class, module/library, an entire application?…
While true, GPT-4 kinda just gets a lot of the classic NLP tasks, such as NER, right with zero fine-tuning or minimal prompt engineering (or whatever you want to call it). I haven't done an extensive study, but I do NLP…
Public transit isn't as good, wildfires, and lack of rain means whatever is in the air lingers for longer.
Specifically on high/low income intertwined, yes. There is certainly some segmentation, but there are also places where one street is good and the very next street is bad and the next street is good. It's an interesting…
I don't. I am very happy to not use Vitess and more than willing to recommend your competitors. Don't feel bad.
I didn't claim that I am dealing with a gigantic workload (total QPS is a lot higher btw). Rather I claimed we are at the point where a distributed database is a good idea if the business wants to continue to scale…
I'm not sure what "more proven" exactly means. If you mean, it is not as well known and used in US? Yes that's true because the core developers are Chinese. If you mean, it hasn't been used at the same scale in…
Spanner and Cassandra really shouldn't be in the same sentence. They are optimized for very different use cases. The "obsolete" part of that quote does apply to Spanner, TiDB, and CockroachDB in my experience. I haven't…