11–20 of 24 posts
- The majority of the page is wasted on irrelevant quotes and then explanations about irrelevant quotes. AI is all around us theres no need to sell AI.
- "Design and Development Choices" This section should be moved to the "about us", anything that isn't about the product shouldn't be on the landing page.
- There aren't any actual examples of what the tool does, what it looks like, why i need it.
You are very likely providing a thin layer on an LLM which does summarization based on criteria. It would be reasonable if that's either a few-shot approach ($0, one time) or a fine-tuned model ($6 - $9 per million tokens, one time), plus the running costs ($0.0001 - $0.01 per run) for llama2 3-70b or gpt3.5-turbo-instruct.
Is there any additional USP, like have you used a data set sourced from hires in specific market sectors to know what parts of a resume really enhance or hurt the chances? A similar study on ATS/real filters would be also be a USP. Or another USP could be that it's super easy to use - drop a resume in, Apple Pay $1, it's done. I'm not seeing a lot of value if I can discuss my resume with ChatGPT and other assistants for free to get a second perspective.
Best of luck, of course.
Seems a bit aggrandized. Elon Musk, Mark Zuckerberg, climate change, app-tier pricing packages. You are very likely providing a thin layer on an LLM which does summarization based on criteria. It would be reasonable if that's either a few-shot approach ($0, one time) or a fine-tuned model ($6 - $9 per million tokens, one time), plus the running costs ($0.0001 - $0.01 per run) for llama2 3-70b or gpt3.5-turbo-instruct…
To get structured data, it's not just about parsing the file (PDF, Docs) with an open source to get the text. You need to extract skills, qualifications, work history ... etc.
There are tools already doing this part very well (before LLMs), so you need to make multiple LLM calls to make the right match or provide useful information.
Your comment suggests that you think it: Hey ChatGPT, this is my CV, and this is the job description; review it and give me suggestions.
Building systems around LLMs is not that easy.
Just FYI, if you’re going to have a cookie banner, you need the option to reject optional and 3rd party cookies. If you aren’t going to allow people to reject cookies as easily as you allow them to accept cookies, you are not complying with the ePrivacy directive. If you’re not bothered with complying, or you’re saying that all your cookies are strictly necessary (which they aren’t), you might as well do away with th…
What's needed is something that lets you run your resume through the hiring company's filters, given the job description. Of course, once this scales, all incoming resumes for a given job will look identical and score the same. We're headed for optimal dystopian hiring.
I can't wait to pay you so you can harvest my personal information.
Seems a bit aggrandized. Elon Musk, Mark Zuckerberg, climate change, app-tier pricing packages. You are very likely providing a thin layer on an LLM which does summarization based on criteria. It would be reasonable if that's either a few-shot approach ($0, one time) or a fine-tuned model ($6 - $9 per million tokens, one time), plus the running costs ($0.0001 - $0.01 per run) for llama2 3-70b or gpt3.5-turbo-instruct…
Seems a bit aggrandized. Elon Musk, Mark Zuckerberg, climate change, app-tier pricing packages. You are very likely providing a thin layer on an LLM which does summarization based on criteria. It would be reasonable if that's either a few-shot approach ($0, one time) or a fine-tuned model ($6 - $9 per million tokens, one time), plus the running costs ($0.0001 - $0.01 per run) for llama2 3-70b or gpt3.5-turbo-instruct…
I haven't tested the link, but I'm familiar with similar products. You don't seem to know what exactly goes behind screening CVs. To get structured data, it's not just about parsing the file (PDF, Docs) with an open source to get the text. You need to extract skills, qualifications, work history ... etc. There are tools already doing this part very well (before LLMs), so you need to make multiple LLM calls to make th…