5 ms·

GPT4 killed our little startup

29 points by bayeslaw 4y ago

bayeslaw 4y ago
We're shutting down CrowdPrisma, a bootstrapped applied AI company that was formed two years ago by my friend and I (both ML engineers) to solve free-text survey analysis. A ton of really important information can only be gathered by open-ended surveys and as NLP models were maturing it seemed like a nice and relatively niche market to go after. I think we had a unique value proposition as our NLP engine was fairly sophisticated and we also integrated its output nicely with other non-text variables (check our demo on the site). Getting significant business traction was difficult (for reasons which would warrant its own blog post), but now with GPT4, Office Copilot, etc coming online it'll be near impossible. We learned a ton from the experience and wouldn't change one bit, but I do wonder, how many other companies must be out there like us.. Although it might seem like there's a generative AI startup frenzy going on atm (which is great), I do have the suspicion that in most domains, large tech companies will dominate the market, due to several reasons (another blog post maybe).. Will see.. anyways, interesting times ahead..
- sharemywin 4y ago
  I agree "I do have the suspicion that in most domains, large tech companies will dominate the market"
- zamalek 4y ago
  I'm very curious about how you consider GPT-4 an existential threat. Most people don't have the know-how to hook it up to survey results.
  - coldtea 4y ago
    Doesn't matter, tons of companies will, and offer an easy interface.
    - rcme 4y ago
      This company is already in the space before the "tons of [other] companies." Seems like they have a head start.
      - coldtea 4y ago
        The technology they developed on that space has been superceded and deprecated. They once had a tech advantage, or so they thought, now they'd at best have a front-end to a widely available technology controlled by a third party.
    - zamalek 4y ago
      That doesn't add any value at all to the conversation. They had a head start, even if tons of companies "will," they "do." Also, given the context limitations of transformers, the value in using a transformer here might be extremely dubious.
      - coldtea 4y ago
        A head-start on the, now deprecated, tech they were implementing. Not on the interface and business idea, which is much more easier to replicate. From a company with a tech advantage, one that they hoped to capitalize, they are now just a team with a front-end on what's now a publicly availabe commoditized technology - one where a third party controls the state of the art even. It's a totally different business proposition, and a much less winning one. Not some VC money getting one either.
- choxi 4y ago
  Did you consider just using LLMs for your product? Even with LLMs it doesn’t seem trivial to format the survey data, design the prompts, validate them across a large dataset, and present the results with nice charts and links back to the original text etc. With LLMs I’d imagine you could do even more interesting things with analyzing survey data. It seems like the core concept of your product is still useful, and could potentially do more now. Are you actually losing customers to GPT or just feel the end is near? Also would love to read that future blog post! Thanks
  - bayeslaw 3y ago
    OP here.. yeah, these are all great suggestions and we considered them at length (even validated some)... the problem is, before GPT, building a deployable (i.e. not just academic paper but something that actually works) NLP pipeline was fairly niche and hard and now the barriers to entry are almost zero (but over time it's definitely trending towards zero) .. we're a small bootstrapped company doing this on the side (until we can afford to switch over).. we can't afford to compete against 100x new companies doing this (some with way deeper pockets bc either they are VC or daddy funded).. so we're not going to.. also see my response about ms copilot etc above..
- jerrygenser 4y ago
  > Getting significant business traction was difficult Is the problem a painful problem that you had a solution people would pay for and now they are using gpt-4 to solve it? Have you heard directly from existing or prospective customers that gpt-4 was a replacement for your solution?
  - bayeslaw 3y ago
    Basically MS is putting this into Office, and Google doing the same.. in a year's time this tech will be basically free to use for anyone w a computer and it's excel anyways where they gather their feedback from the surveys.. why would they then export it and go to another site when they can just ask questions about their data directly in excel.. we assessed this situation for weeks and basically long term, this product doesn't have a USP anymore..
- NegativeLatency 4y ago
  Pivot to using a GPT API and sell the company?
- marcosdumay 4y ago
  Hum... I've noticed that this post has a deeper explanation of what your product does than your entire site. I am really curious if ChatGPT really beat a slightly modern highly specialized AI. Did you actually try it and get better results, or are you afraid of the hype?
- dopeboy 4y ago
  Respect for being in the arena and working on a useful problem. Sorry about the decision. Can I try to spin this moment in a different way: you have a fantastic story to tell as you pivot go head first into AI. You’ve built amazing, relevant skills in an adjacent space. You’ve shipped, which is more than what most people do. Rest, refuel, and put together that narrative. It’s an interesting time right now and I think there’s a solid route to raising some kind of initial funding for round 2.
- run2arun 4y ago
  I would say don't let the hype bring you down. A very large general solution can never suit every single use-case that exists out there. In fact, you should think about bringing in an LLM-based solution as well. If you can't beat them, join them. Show your customers where traditional ML beats LLMs hands down. People are using LLMs as a hammer for everything. That hype will die down.
- karmakaze 4y ago
  > to solve free-text survey analysis The failure is that the company didn't have the goal of solving a customer issue. If it did, pivoting to use GPT in the survey space would be completely natural. The reason the company is shutting down is because it didn't just want to solve survey analysis, it wanted to do it using it's own tech. I can see how using GPT doesn't offer as large a moat as your own tech, but if you can't use GPT better than your competitors to solve your customer problems, you're not in the customer service business, you're in the software/tech making and selling business. Both may be ideal but the former is certainly feasible.
OhNoNotAgain_99 4y ago
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fourseventy 4y ago
There are tons of survey tools that you might be able to sell your tech to for a small exit.
- bayeslaw 3y ago
  OP here: how would that actually work? Writing an email to them, saying: "hey do you wanna buy some source code?" seems the only (but also bad) way :D
  - fourseventy 3y ago
    Cold email wont work. You would need to get a warm introduction to the ceo of the company. Nurture that relationship a bit on the basis that you are both in the market and working on similar problems, then once a rapport has been established you can broach the topic of acquisition.
benjaminwootton 4y ago
Are you sure that GPT4 won’t help you by bringing more interest into the space? Everyone is talking about AI and you have a 2 year head start. There will also be more funding and M&A opportunities available.
- coldtea 4y ago
  A 2 year head start on a path LLMs turned into a dead-end...
gumballindie 4y ago
I see you are from the uk - have you approached entrepreneur first? Or any other similar accelerators. If anything i think now is the time to grow. Also i cant find examples of how your products works, nor do i see an api or anything else that would indicate you are have experience in marketing what you built - perhaps bring someone on board to cover that gap?
- colesantiago 4y ago
  > I see you are from the uk - have you approached entrepreneur first? what would most likely happen is that vc will say no for the following reasons: No moat and no possible way to make money due to GPT-4, even if they use GPT-4 themselves.
  - gumballindie 4y ago
    Often, i learned, showing up makes a difference. Naturally you know best what the risks are but you'd be surprised. I'd give it an honest try.
- bayeslaw 3y ago
  OP here: funny you should say that.. I did EF actually (and ended up with a similar story, i.e. failed startup :D see https://danielhomola.com/startups/learning/my-startup-failed/ https://danielhomola.com/startups/learning/my-startup-failed...) Anyways, I'd never do an accelerator kinda thing again or even take funding unless it makes a ton of sense.. turns out there are a lot of business (not unicorns) you can build with a buddy on the side and not get caught up in the craziness of raising, posturing, raising again, playing someone else's game, etc..
  - gumballindie 3y ago
    > turns out there are a lot of business (not unicorns) you can build with a buddy on the side and not get caught up in the craziness of raising, posturing, raising again, playing someone else's game, etc.. This! Precisely my take away from my own experience with EF (nothing against them, they are quite cool to be honest). The people i've met at EF, failed startups or not, have been absolutely.brilliant. Keep it up!
poniko 4y ago
I belive there is room for dedicated tools in most areas where gpt4 is good, even if they are built ontop of the gtp4 apis. A dedicated tool can have all the nuance and integrations that the broad tools never will have.
rsp1984 4y ago
It looks like your product is based on top of NLP tech, not the NLP tech itself. That's great because here's the good news: none of your customers care what you use as your back end. All they care about is whether you can solve their problem or not. With GPT-4 that capability should have improved.
- coldtea 4y ago
  Small consolation, since with GPT-4 everybody can start a similar startup and eat their lunch.
  - paxys 4y ago
    APIs for basic NLP, text parsing, sentiment analysis etc. have been available for cheap for a while now. GPT-4 is not a game changer in this area.
    - coldtea 4y ago
      GPT-4 can make NLP, text parsing, sentiment analysis 10 times better than those APIs.
    - famouswaffles 4y ago
      GPT-4 beats elite workers in sentiment analysis - https://www.artisana.ai/articles/gpt-4-outperforms-elite-crowdworkers-saving-researchers-usd500-000-and-20 https://www.artisana.ai/articles/gpt-4-outperforms-elite-cro... The idea that bespoke models match this kind of performance is a joke. NLP is solved and GPT-4 is in fact a game changer.
  - antisthenes 4y ago
    Then execute better than others. Or build a startup with an actual moat and not build on top of another product doing the heavy lifting.
    - coldtea 3y ago
      >Or build a startup with an actual moat and not build on top of another product doing the heavy lifting. That's exactly what they tried to do with a technical lead. This is what GPT-4 made obsolete. Doing it with mere front-end or "execution" or marketing is close to impossible, as those are much more trivial areas and difficult to differentiate yourself. They're also mostly meaningless, as they depend on investment, which has no reason to go to them (as now they would just become one of many wanting to go to the area, and not the one's that has a tech-lead up its sleeve). It's like they had an idea about a coffee place with their own secret syrup recipe for great tasting coffee, and they worked hard for 2 years on that recipe, hoping someone will invest in them to help them make it into a franchize. Now someone came along and gives everyone a ready-made syrup mix, in the same exact vein, that is many times better tasting. And all the suggestions here to "then execute better than others" are like "just use the new mix, and focus on making a better coffee place then, invest in the atmosphere and service" and so on. Duh, well, everybody can try and do that. And there's no obvious way to differentiate yourself, or get investment to build a franchize just with this. Whereas if they still have their reciple (technology lead) and it still mattered, they'd have a major leg up the competition. "He worked hard, built a tech lead, and we hope to get investment and beat the market with that" is a totally different problem, and a much more hopeless situation than: "He have a dead-end tech, there's a new better tech controlled by others, and we can only beat the competition by coming up with new ideas on execution, things that anybody can attempt, that have nothing to do with the hard tech work we did all those years".
paxys 4y ago
The only way you can make that claim is if you had X% (for a large X) of your paying customers leave and start using GPT4 instead, resulting in an unsustainable drop in revenue. My guess is you never had those customers, and your company never gained any traction at all. Hard to blame GPT for that.
- nelsontodd 4y ago
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- granshaw 4y ago
  Yes would be great if OP could share their customer count. Even if in the single digits or tens, there’s no shame in that
dbavaria 4y ago
What stops you from jumping on the GPT4 bandwagon?
stuckkeys 4y ago
Sounds like you killed it yourself. Why not embrace the tech and incorporate it into your service?
- coldtea 4y ago
  Because instead of their own differentiating tech, they'll have a me-too product anybody can easily replicate - and they'll need to base it on a third party provider too...
ryaniscool 4y ago
Seems like a great vertical for AI. Many successful startups have taken commoditized technologies and glued them together in novel and interesting ways. Why can’t you guys do that with GPT4? Don’t confuse the technology you developed with the product you are offering to customers
kozikow 4y ago
As other comments have mentioned - I would see Chatgpt not as a startup killer, but an opportunity. Automatic surveying based on GPT just got a lot more viable. You still have significant headstart over others who would be approaching the same. Sure, you will have to throw out a lot of code, but you got customers, market recognition. "Auto surveying" - give the "model" some basic information about the app/business and let it figure out what questions to ask, ask follow-up questions to customers and just come to me with the list of improvements by priority for customers. "AI product manager" Something like that is going to be huge, is definitely viable with current GPT model, but would still require a lot of work to get working (especially working around limited context and long term memory of GPT). If you start on this now, are you sure you won't be able to win this market? I've thrown away some old code and replaced by the GPT. A lot less than you, but I am happy, as it ultimately allows my company to get more revenue from customers.
senko 4y ago
Everybody and their dog is now jumping on the AI bandwagon, which in many cases means they download LangChain, use a prompt they copied from someone's tweet, concatenate it with user input and call GPT. Companies with actual domain knowledge will be in much better position because they will really know how to leverage the full power of these new models instead of being blinded by the bling that (cherry-picked) works nicely in 50% of the cases. My friend and me have a good natured competition in making an AI that writes stories. He's using a custom tuned LLama, I'm calling ChatGPT. Making cutesy little stories is easy. Making anything you'd actually be interested in reading is freaking hard! We're not writers! We don't know enough to prompt/select/guide the AI to do it well! Same in other domains. LLMs are powerful tools but they'll make you more poweful if you have the right domain knowledge (and seems these guys do). Don't give up, leverage it!
tmaly 4y ago
Was this click bait? As soon as I open the site it talks about an AI solution
lee101 4y ago
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29 points by bayeslaw 4y ago

We're shutting down CrowdPrisma, a bootstrapped applied AI company that was formed two years ago by my friend and I (both ML engineers) to solve free-text survey analysis. A ton of really important information can only be gathered by open-ended surveys and as NLP models were maturing it seemed like a nice and relatively niche market to go after. I think we had a unique value proposition as our NLP engine was fairly sophisticated and we also integrated its output nicely with other non-text variables (check our demo on the site). Getting significant business traction was difficult (for reasons which would warrant its own blog post), but now with GPT4, Office Copilot, etc coming online it'll be near impossible. We learned a ton from the experience and wouldn't change one bit, but I do wonder, how many other companies must be out there like us.. Although it might seem like there's a generative AI startup frenzy going on atm (which is great), I do have the suspicion that in most domains, large tech companies will dominate the market, due to several reasons (another blog post maybe).. Will see.. anyways, interesting times ahead..

sharemywin 4y ago
I agree "I do have the suspicion that in most domains, large tech companies will dominate the market"
zamalek 4y ago
I'm very curious about how you consider GPT-4 an existential threat. Most people don't have the know-how to hook it up to survey results.
- coldtea 4y ago
  Doesn't matter, tons of companies will, and offer an easy interface.
  - rcme 4y ago
    This company is already in the space before the "tons of [other] companies." Seems like they have a head start.
    - coldtea 4y ago
      The technology they developed on that space has been superceded and deprecated. They once had a tech advantage, or so they thought, now they'd at best have a front-end to a widely available technology controlled by a third party.
  - zamalek 4y ago
    That doesn't add any value at all to the conversation. They had a head start, even if tons of companies "will," they "do." Also, given the context limitations of transformers, the value in using a transformer here might be extremely dubious.
    - coldtea 4y ago
      A head-start on the, now deprecated, tech they were implementing. Not on the interface and business idea, which is much more easier to replicate. From a company with a tech advantage, one that they hoped to capitalize, they are now just a team with a front-end on what's now a publicly availabe commoditized technology - one where a third party controls the state of the art even. It's a totally different business proposition, and a much less winning one. Not some VC money getting one either.
choxi 4y ago
Did you consider just using LLMs for your product? Even with LLMs it doesn’t seem trivial to format the survey data, design the prompts, validate them across a large dataset, and present the results with nice charts and links back to the original text etc. With LLMs I’d imagine you could do even more interesting things with analyzing survey data. It seems like the core concept of your product is still useful, and could potentially do more now. Are you actually losing customers to GPT or just feel the end is near? Also would love to read that future blog post! Thanks
- bayeslaw 3y ago
  OP here.. yeah, these are all great suggestions and we considered them at length (even validated some)... the problem is, before GPT, building a deployable (i.e. not just academic paper but something that actually works) NLP pipeline was fairly niche and hard and now the barriers to entry are almost zero (but over time it's definitely trending towards zero) .. we're a small bootstrapped company doing this on the side (until we can afford to switch over).. we can't afford to compete against 100x new companies doing this (some with way deeper pockets bc either they are VC or daddy funded).. so we're not going to.. also see my response about ms copilot etc above..
jerrygenser 4y ago
> Getting significant business traction was difficult Is the problem a painful problem that you had a solution people would pay for and now they are using gpt-4 to solve it? Have you heard directly from existing or prospective customers that gpt-4 was a replacement for your solution?
- bayeslaw 3y ago
  Basically MS is putting this into Office, and Google doing the same.. in a year's time this tech will be basically free to use for anyone w a computer and it's excel anyways where they gather their feedback from the surveys.. why would they then export it and go to another site when they can just ask questions about their data directly in excel.. we assessed this situation for weeks and basically long term, this product doesn't have a USP anymore..
NegativeLatency 4y ago
Pivot to using a GPT API and sell the company?
marcosdumay 4y ago
Hum... I've noticed that this post has a deeper explanation of what your product does than your entire site. I am really curious if ChatGPT really beat a slightly modern highly specialized AI. Did you actually try it and get better results, or are you afraid of the hype?
dopeboy 4y ago
Respect for being in the arena and working on a useful problem. Sorry about the decision. Can I try to spin this moment in a different way: you have a fantastic story to tell as you pivot go head first into AI. You’ve built amazing, relevant skills in an adjacent space. You’ve shipped, which is more than what most people do. Rest, refuel, and put together that narrative. It’s an interesting time right now and I think there’s a solid route to raising some kind of initial funding for round 2.
run2arun 4y ago
I would say don't let the hype bring you down. A very large general solution can never suit every single use-case that exists out there. In fact, you should think about bringing in an LLM-based solution as well. If you can't beat them, join them. Show your customers where traditional ML beats LLMs hands down. People are using LLMs as a hammer for everything. That hype will die down.
karmakaze 4y ago
> to solve free-text survey analysis The failure is that the company didn't have the goal of solving a customer issue. If it did, pivoting to use GPT in the survey space would be completely natural. The reason the company is shutting down is because it didn't just want to solve survey analysis, it wanted to do it using it's own tech. I can see how using GPT doesn't offer as large a moat as your own tech, but if you can't use GPT better than your competitors to solve your customer problems, you're not in the customer service business, you're in the software/tech making and selling business. Both may be ideal but the former is certainly feasible.

OhNoNotAgain_99 4y ago

[dead]

fourseventy 4y ago

There are tons of survey tools that you might be able to sell your tech to for a small exit.

bayeslaw 3y ago
OP here: how would that actually work? Writing an email to them, saying: "hey do you wanna buy some source code?" seems the only (but also bad) way :D
- fourseventy 3y ago
  Cold email wont work. You would need to get a warm introduction to the ceo of the company. Nurture that relationship a bit on the basis that you are both in the market and working on similar problems, then once a rapport has been established you can broach the topic of acquisition.

benjaminwootton 4y ago

Are you sure that GPT4 won’t help you by bringing more interest into the space? Everyone is talking about AI and you have a 2 year head start. There will also be more funding and M&A opportunities available.

coldtea 4y ago
A 2 year head start on a path LLMs turned into a dead-end...

gumballindie 4y ago

I see you are from the uk - have you approached entrepreneur first? Or any other similar accelerators. If anything i think now is the time to grow. Also i cant find examples of how your products works, nor do i see an api or anything else that would indicate you are have experience in marketing what you built - perhaps bring someone on board to cover that gap?

colesantiago 4y ago
> I see you are from the uk - have you approached entrepreneur first? what would most likely happen is that vc will say no for the following reasons: No moat and no possible way to make money due to GPT-4, even if they use GPT-4 themselves.
- gumballindie 4y ago
  Often, i learned, showing up makes a difference. Naturally you know best what the risks are but you'd be surprised. I'd give it an honest try.
bayeslaw 3y ago
OP here: funny you should say that.. I did EF actually (and ended up with a similar story, i.e. failed startup :D see https://danielhomola.com/startups/learning/my-startup-failed/ https://danielhomola.com/startups/learning/my-startup-failed...) Anyways, I'd never do an accelerator kinda thing again or even take funding unless it makes a ton of sense.. turns out there are a lot of business (not unicorns) you can build with a buddy on the side and not get caught up in the craziness of raising, posturing, raising again, playing someone else's game, etc..
- gumballindie 3y ago
  > turns out there are a lot of business (not unicorns) you can build with a buddy on the side and not get caught up in the craziness of raising, posturing, raising again, playing someone else's game, etc.. This! Precisely my take away from my own experience with EF (nothing against them, they are quite cool to be honest). The people i've met at EF, failed startups or not, have been absolutely.brilliant. Keep it up!

poniko 4y ago

I belive there is room for dedicated tools in most areas where gpt4 is good, even if they are built ontop of the gtp4 apis. A dedicated tool can have all the nuance and integrations that the broad tools never will have.

rsp1984 4y ago

It looks like your product is based on top of NLP tech, not the NLP tech itself. That's great because here's the good news: none of your customers care what you use as your back end. All they care about is whether you can solve their problem or not. With GPT-4 that capability should have improved.

coldtea 4y ago
Small consolation, since with GPT-4 everybody can start a similar startup and eat their lunch.
- paxys 4y ago
  APIs for basic NLP, text parsing, sentiment analysis etc. have been available for cheap for a while now. GPT-4 is not a game changer in this area.
  - coldtea 4y ago
    GPT-4 can make NLP, text parsing, sentiment analysis 10 times better than those APIs.
  - famouswaffles 4y ago
    GPT-4 beats elite workers in sentiment analysis - https://www.artisana.ai/articles/gpt-4-outperforms-elite-crowdworkers-saving-researchers-usd500-000-and-20 https://www.artisana.ai/articles/gpt-4-outperforms-elite-cro... The idea that bespoke models match this kind of performance is a joke. NLP is solved and GPT-4 is in fact a game changer.
- antisthenes 4y ago
  Then execute better than others. Or build a startup with an actual moat and not build on top of another product doing the heavy lifting.
  - coldtea 3y ago
    >Or build a startup with an actual moat and not build on top of another product doing the heavy lifting. That's exactly what they tried to do with a technical lead. This is what GPT-4 made obsolete. Doing it with mere front-end or "execution" or marketing is close to impossible, as those are much more trivial areas and difficult to differentiate yourself. They're also mostly meaningless, as they depend on investment, which has no reason to go to them (as now they would just become one of many wanting to go to the area, and not the one's that has a tech-lead up its sleeve). It's like they had an idea about a coffee place with their own secret syrup recipe for great tasting coffee, and they worked hard for 2 years on that recipe, hoping someone will invest in them to help them make it into a franchize. Now someone came along and gives everyone a ready-made syrup mix, in the same exact vein, that is many times better tasting. And all the suggestions here to "then execute better than others" are like "just use the new mix, and focus on making a better coffee place then, invest in the atmosphere and service" and so on. Duh, well, everybody can try and do that. And there's no obvious way to differentiate yourself, or get investment to build a franchize just with this. Whereas if they still have their reciple (technology lead) and it still mattered, they'd have a major leg up the competition. "He worked hard, built a tech lead, and we hope to get investment and beat the market with that" is a totally different problem, and a much more hopeless situation than: "He have a dead-end tech, there's a new better tech controlled by others, and we can only beat the competition by coming up with new ideas on execution, things that anybody can attempt, that have nothing to do with the hard tech work we did all those years".

paxys 4y ago

The only way you can make that claim is if you had X% (for a large X) of your paying customers leave and start using GPT4 instead, resulting in an unsustainable drop in revenue. My guess is you never had those customers, and your company never gained any traction at all. Hard to blame GPT for that.

nelsontodd 4y ago
[dead]
granshaw 4y ago
Yes would be great if OP could share their customer count. Even if in the single digits or tens, there’s no shame in that

dbavaria 4y ago

What stops you from jumping on the GPT4 bandwagon?

stuckkeys 4y ago

Sounds like you killed it yourself. Why not embrace the tech and incorporate it into your service?

coldtea 4y ago
Because instead of their own differentiating tech, they'll have a me-too product anybody can easily replicate - and they'll need to base it on a third party provider too...

ryaniscool 4y ago

Seems like a great vertical for AI. Many successful startups have taken commoditized technologies and glued them together in novel and interesting ways. Why can’t you guys do that with GPT4? Don’t confuse the technology you developed with the product you are offering to customers

kozikow 4y ago

As other comments have mentioned - I would see Chatgpt not as a startup killer, but an opportunity. Automatic surveying based on GPT just got a lot more viable. You still have significant headstart over others who would be approaching the same. Sure, you will have to throw out a lot of code, but you got customers, market recognition. "Auto surveying" - give the "model" some basic information about the app/business and let it figure out what questions to ask, ask follow-up questions to customers and just come to me with the list of improvements by priority for customers. "AI product manager" Something like that is going to be huge, is definitely viable with current GPT model, but would still require a lot of work to get working (especially working around limited context and long term memory of GPT). If you start on this now, are you sure you won't be able to win this market? I've thrown away some old code and replaced by the GPT. A lot less than you, but I am happy, as it ultimately allows my company to get more revenue from customers.

senko 4y ago

Everybody and their dog is now jumping on the AI bandwagon, which in many cases means they download LangChain, use a prompt they copied from someone's tweet, concatenate it with user input and call GPT. Companies with actual domain knowledge will be in much better position because they will really know how to leverage the full power of these new models instead of being blinded by the bling that (cherry-picked) works nicely in 50% of the cases. My friend and me have a good natured competition in making an AI that writes stories. He's using a custom tuned LLama, I'm calling ChatGPT. Making cutesy little stories is easy. Making anything you'd actually be interested in reading is freaking hard! We're not writers! We don't know enough to prompt/select/guide the AI to do it well! Same in other domains. LLMs are powerful tools but they'll make you more poweful if you have the right domain knowledge (and seems these guys do). Don't give up, leverage it!

tmaly 4y ago

Was this click bait? As soon as I open the site it talks about an AI solution

lee101 4y ago

[dead]