james-revisoai

10 ms·

61.
by james-revisoai 3y ago
QA at a software company is a bit far from what I'm thinking of here - I'm not looking at finesse or QA for a product facing a large audience; more security against regressions. Think small side projects, one off mom-n-pop sites,
62.
by james-revisoai 3y ago
OP, do you have one or two examples of Ahrefs being used in practise for a startup?
63.
by james-revisoai 3y ago
Problem is they don't reliably get back to you within a short time frame, sometimes you have a deadline or multiple features and just want that reliability of getting a response same day you can get with an internal test team, you know
64.
by james-revisoai 3y ago
(and to anticipate the answer of Amazon MTurk - I don't think you can easily do it task specifically to each individual or start a task through an API/email?)
65.
Ask HN: Why is there no API for testers on demand?
2 points by james-revisoai 3y ago|6 comments
66.
by james-revisoai 3y ago
Well, if you looked at the AI world in 2019, the models were mostly less RAM intense (typically 0.8GB-2GB RAM for BERT/T5 non-large for example). And computer vision models always hit the max you'd throw at them. Things twist and
67.
by james-revisoai 3y ago
I've seen you comment before on related threads; congrats The question that always comes to mind is, how do you get distribution and reach the market? There seem to be so many competitors.
68.
by james-revisoai 3y ago
Duolingo overcame historic monetisation proportion challenges in Q4 2022, but almost immediately after that safe harbour, AI came along. Now Duolingo are close to OpenAI and have collaborated with them, but with the likes of YC funding AI l
69.
by james-revisoai 3y ago
I think the point is they already had those components or familiarity with them in their system hooked into existing data. You could add semantic search with text vectors 3 years ago within 1 hour and so the need for a service isn't th
70.
Ask HN: How do you manage a startups entire monitoring and marketing layer?
4 points by james-revisoai 3y ago|3 comments
71.
by james-revisoai 3y ago
Explore different page segmentation modes and make sure you are using v4 (it's a massive step up)
72.
by james-revisoai 3y ago
Value isn't a simple equation - it's often multiplicative. A co-founder with distribution options allows you to hit the market multiple times (sometimes this is true for investment), greatly increasing the chances of something cat
73.
by james-revisoai 3y ago
The quality difference does matter. For a while I ran an AI app with summary features, with T5/BART in 2020 and then generative from 2021 (using GPT-3 API). It's an unfortunate truth that when I tried using Babbage (GPT-2 size), i
74.
by james-revisoai 3y ago
What's your advice on doing this for products in rapidly changing markets? Example: Say you are an AI graduate who has worked in AI for a while before ChatGPT. Suddenly a competitor spins up something you were also developing - faster
75.
Ask HN: How do you learn to say “No” to yourself as a founder?
2 points by james-revisoai 3y ago|0 comments
76.
by james-revisoai 3y ago
Use different embeddings according to your need. The mini-V2 (default sentence transformer ones) are far superior for these tasks than many others. The query-document snippet style ones (trained on MS-Marco) are great for matching definitio
77.
by james-revisoai 3y ago
The probabilities are fun (and ability to manipulate/mask/logit bias them), but small nit pick: Beam search isn't popular because it results in less human like text and takes more processing time, as a concept it sounds great
78.
by james-revisoai 3y ago
Not great advice in a world of ChatGPT at your fingertips. You generate race-to-the-bottoms like the ChatPDF tools by leaning into easy to copy areas that online popularity highlights, rather than your gut feel around problems - how many of
79.
by james-revisoai 3y ago
You likely have the skills to get a product out the door, especially if you find a way to step back or have someone ask you diligently "can we skip this", "can we not reinvent this", "is this overengineering?",
80.
by james-revisoai 3y ago
As far as I know, Firefox still allows this for any expired certificate which at least has correct domain details and authority (e.g. it once worked, which some dev should validate). SSL version or cipher mismatch can be from other causes.
81.
by james-revisoai 3y ago
1. MUI, Chakra, Bootstrap 2. Elderly appearing/Generic appearing, or PRO locks certain components. Inconsistent components between mobile/desktop. In particular the "scroll tags" on mobile don't tend to look nice on
82.
by james-revisoai 3y ago
Well really, what people in the field felt and saw was that on metrics for measuring tasks, what had happened in computer vision with giant jumps in performance for tasks previously considered hard to ever get to human level (like identifyi
83.
by james-revisoai 3y ago
I did read that and find it interesting, but without knowing it was now filtering contextually (awesome!), I didn't consider it for the codebases I was looking at due to the context size needed. Seems like keyword matching vs semantic&
84.
by james-revisoai 3y ago
Great tooling. I was using CodeGPT but this looks better. And it's exciting to have those command line options to easily insert other contextual input like command outputs. Can I ask about your plans? CodeGPT planned to add semantic em
85.
by james-revisoai 3y ago
absolutely, unfortunately you are right.
86.
by james-revisoai 3y ago
Did you detect this MixPanel or something?
87.
by james-revisoai 3y ago
That could be a good idea. It already works quite well the other way, to have a sort of universal way to distil requirements into many languages, as Fireship elaborated here: https://www.youtube.com/watch?v=iO1mwxPNP5A Ther
88.
by james-revisoai 3y ago
This is a great point to illustrate the importance of the token representation of position, though I didn't find ChatGPT had any problem with the second example you showed with extra words though - it was correct. I'm not sure the
89.
by james-revisoai 3y ago
(not parent but -) It depends on area, generally: Provider APIs(ChatGPT through OpenAPI etc), langchain, huggingface transformers, pinecone/vector DBs are absolutely taking off. Lots of specialist ML models which required specific data
90.
by james-revisoai 3y ago
This is a great way to boost performance. Have you looked at implementing something like Autochapter/semantic chunking? I know your second point leans towards that, but I think such tech would be helpful here.

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