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Re:Ask HN: What have you built with LLMs? on Monday February 05, 2024 @03:28PM (#39266665)
I built a tool to repeat a chat discussion against a set of data.

Let say, you have a row with 4 fields, you chat with your row, then you apply same conversation to all other rows!

https://www.youtube.com/watch?v=e550X6R89W4 https://bulkninja.com/

Re:Show HN: Ask GPT: Who is hiring? (December 2023) on Friday December 01, 2023 @04:14PM (#38492503)
Hi HN Community,

I'm excited to introduce the latest iteration of "Ask GPT: Who is Hiring?" – a custom GPT tool designed to help you navigate through job opportunities in the "Ask HN: Who's Hiring?" thread.

The standout feature of this December version is its direct integration with a "Ask HN: Who's Hiring?" spreadsheet. For more details on this integration, check out: https://news.ycombinator.com/item?id=38135278. This means the assistant now accesses real-time, updated data, providing the most current job information available.

Your feedback on this tool would be highly appreciated. I'm looking forward to your thoughts and suggestions!

Show HN: Ask GPT: Who is hiring?

https://chat.openai.com/g/g-thx8m5Hjx-ask-gpt-who-is-hiring

Greetings, HN community!I'm excited to share this little project with you, made possible by ChatGPT's "My GPTs" feature. I've just created a GPT assistant that can assist you in discovering job opportunities from the "Ask HN: Who is hiring?" thread for November 2023.If you're curious about the process of collecting and standardizing the data, you can find all the intricate details at...

( Read More... | no comments | 2 points | on HN )
Same with Chain of thoughts (final email redacted though)

Me> Think step by step to extract contact email address from the following post: --- ... same data ... --- GPT> To extract the contact email address from the provided text, follow these steps:

Read the Post: Understand the structure and content of the post to identify any potential email address.

Identify Potential Email Address: Look for patterns or mentions that resemble an email address. In the provided text, there is a specific mention: "paige@[parative domain]". This might be an email address with a placeholder for the domain.

Clarify the Email Address: The provided text seems to have a placeholder for the domain part of the email. The domain might be "parative.com" as mentioned earlier in the post.

Reconstruct the Email Address: Considering the context, it's possible that the email address could be "paige@p(--redacted--)ve.com."

Apologies for the article's lack of details. Allow me to provide a concrete example:

Me> extract contact email address from the following post: --- Parative | https://parative.com | Senior Backend Engineer | REMOTE (USA only) | Full Time Parative is in need of an experienced backend engineer to join its platform team with a focus on API and integration work. As a key member of an early-stage team, you’ll report directly to CTO Jason Zopf and join a growing team of US-based engineers and an established team of developers in Eastern Europe.

We are a remote company; however, we are only able to hire eligible candidates in the United States for this role. Given the size of our team and the nature of our work with customers, we also require candidates to have primary fluency/bilingual proficiency in English.

Apply here: https://parative.breezy.hr/p/235414743556-senior-backend-eng... and feel free to follow send drop me a note: paige@[parative domain] ---

GPT> The contact email address mentioned in the post is "paige@[parative domain]." The domain part of the email address seems to have been redacted or cut off. Typically, it would be something like "parative.com" or a similar domain related to the company's website. Unfortunately, in the provided text, the domain after the "@" symbol is not fully visible

I'm the author of the article, Thanks for posting this article and I appreciate all the feedback received.

Indeed, it seems the cost of using the OpenAI API for scrapers at scale is high. However, in my opinion, optimization is key. As some comments suggested, scrapers could employ finely-tuned, smaller models—perhaps distilled from ChatGPT—to achieve similar tasks at a lower cost.

One takeaway from this article might be that obscuring text might be ineffective (and potentially always has been) if all the data is centralized in one place. In such instances, a Language Model is just as powerful as a human.

Show HN: Transforming "Who's Hiring? (November 2023)" Posts into a Google Sheet

https://docs.google.com/spreadsheets/d/1oOIZmTrppLY3QrDu3l6tosDJPNotio4dlytb0MP2dHc/edit?usp=sharing

Hello HN Community!I've transformed the "Ask HN: Who's hiring? (November 2023)" post into a Google Sheet.Here's a quick rundown of the method:I utilized the Hacker News Algolia Search API to extract data. You can find the specific thread URL here: https://hn.algolia.com/api/v1/search_by_date?tags=comment,st...Using a GET request, I fetched comments from the thread and processed them via the...

( Read More... | 2 comments | on HN )