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Watson is a . marketing term for a suite of copycat APIs. IBM had a reputation for showing up to conferences with methodologically invalid, grab-bag, overfit mo

Watson is a . marketing term for a suite of copycat APIs. IBM had a reputation for showing up to conferences with methodologically invalid, grab-bag, overfit models and claiming they had SOTA. Most folks ignored them, and then they used their fraudulent claim of SOTA to sell to AI-naive organizations like banks.

anon223345 4y ago
I don’t know, I use Watson and ChatGPT Watson is super accurate because I can define what it’s allowed to give me answers from ChatGPT I love it, but I don’t know where the answers are coming from For example I asked ChatGPT “Leading practices for IdP in cloud” and it spit out an answer Watson I say “leading practices for cloud IdP” BUT essentially I add metadata saying “only from tech journals, AWS official sources, blah blah” It takes me 3 hours to get answer out of Watson but it’s super specific ChatGPT is much quicker but helps me as well, just kinda general and generic in somethings. ChatGPT is super awesome at helping explain shitty code to me which is what I’m starting to explore
- Timon3 4y ago
  What "Watson" service are you exactly talking about? As in, which IBM Cloud service/offering/page?
  - anon223345 4y ago
    You don’t just use a single service, it’s a pain like that. You basically provision instances and pass data back and forth. You have to use Watson Discovery to find things and update your corpus Watson NLU to make the discovery findings searchable Then you have to do Watson classifiers, and a whole basket of sub-tools etc. But once all that’s set up you can “ask it questions” like you do for ChatGPT
    - Timon3 4y ago
      Okay, then nothing has changed since I last used it. Sadly, even after spending a lot of time connecting the various services, I was never able to get anything even remotely comparable to ChatGPT, even for a single topic. The most "impressive" or natural feeling things I was able to build were based on unreleased internal services, and even those failed to impress beyond acceptable NLU.

anon223345 4y ago

I don’t know, I use Watson and ChatGPT Watson is super accurate because I can define what it’s allowed to give me answers from ChatGPT I love it, but I don’t know where the answers are coming from For example I asked ChatGPT “Leading practices for IdP in cloud” and it spit out an answer Watson I say “leading practices for cloud IdP” BUT essentially I add metadata saying “only from tech journals, AWS official sources, blah blah” It takes me 3 hours to get answer out of Watson but it’s super specific ChatGPT is much quicker but helps me as well, just kinda general and generic in somethings. ChatGPT is super awesome at helping explain shitty code to me which is what I’m starting to explore

Timon3 4y ago
What "Watson" service are you exactly talking about? As in, which IBM Cloud service/offering/page?
- anon223345 4y ago
  You don’t just use a single service, it’s a pain like that. You basically provision instances and pass data back and forth. You have to use Watson Discovery to find things and update your corpus Watson NLU to make the discovery findings searchable Then you have to do Watson classifiers, and a whole basket of sub-tools etc. But once all that’s set up you can “ask it questions” like you do for ChatGPT
  - Timon3 4y ago
    Okay, then nothing has changed since I last used it. Sadly, even after spending a lot of time connecting the various services, I was never able to get anything even remotely comparable to ChatGPT, even for a single topic. The most "impressive" or natural feeling things I was able to build were based on unreleased internal services, and even those failed to impress beyond acceptable NLU.