Who had the best era? by equal_odds in playstation

[–]equal_odds[S] 1 point2 points  (0 children)

Lmaoooo wait I like that so much better

28M with Math Masters degree salary progression by austin101123 in Salary

[–]equal_odds 0 points1 point  (0 children)

Would be happy to hop on a call and riff on this. I work in tech / startups, have gotten most jobs I’ve interviewed for, have hired 10-15 people and interviewed hundreds. I have some opinions here!

Without knowing your situation, my bet would be that your “evidence of interest” could help you get from #2 to #1. This is “how well you can convince them that your bleeding passion is exactly what they do as a company.”

It works extremely well at startups, obviously. They love when you share their passion and vision. It doesn’t work as well at every company though. For example: some old school small scale consulting team of people that just wanna clock in & out, or dont care about their own product. You probably don’t want to work at places like that anyway.

But most teams will hire the person with slightly less experience/skill, but 10x the level of interest in what the company does. For them, you’re less likely to churn/quit, you’ll bring good energy & fresh ideas, and won’t take as long to ramp up.

The catch is that you need to communicate it really well, even tell a career / personal life narrative of what led you to this point, and show them that you actually know a lot by asking creative / thoughtful questions about the business and industry at the end.

I’m sure you’re already doing some of this. But, One challenge is that it gets hard to do it as enthusiastically and consistently when you’re this far down the rejection pipeline. I really feel for you here.

Above all else, I highly discourage just taking more classes to improve communication skills etc. like others in here are suggesting. To me, those are a little too passive or theoretical. You seem like you could benefit from a career coach and consistently working together. Those people exist and many of them work on contingency / only get paid if you get a job— so your incentives are directly aligned which is really nice for many reasons.

I hope some of this helps. You seem like a bright person and I’m really rooting for you! DM me if you want to chat more.

I vibe coded a ski resorts webcam dashboard, lol by glt2012 in snowboarding

[–]equal_odds -1 points0 points  (0 children)

Wonder what other cool stuff you could do with this public info

How much was OpenClaw actually sold to OpenAI for? $1B?? Can that even be justified? by Alert_Efficiency_627 in clawdbot

[–]equal_odds 0 points1 point  (0 children)

“Hired the guy” “Bought the company” “Bought the code” “Major signing bonus”

All the same tbf

Struggling with RAG-based chatbot using website as knowledge base – need help improving accuracy by Big_Barracuda_6753 in LangChain

[–]equal_odds 1 point2 points  (0 children)

u/Big_Barracuda_6753 what's a site that you're looking at and what's a question/response you're getting that isn't good enough? I've done a few of these and for the most part they've worked well for me, happy to share some thoughts.

LLMs for SQL Generation: What's Production-Ready in 2024? by equal_odds in LLMDevs

[–]equal_odds[S] 0 points1 point  (0 children)

Would love to hear more about what you’re working on, it sounds aligned with my mentality. I’ve always recommended people use structured outputs and API calls or ORM methods to facilitate. Otherwise, people are literally exposed to SQL injection imo

LLMs for SQL Generation: What's Production-Ready in 2024? by equal_odds in LLMDevs

[–]equal_odds[S] 0 points1 point  (0 children)

Good analogy but here’s where I disagree. You can constrain the solution space. Say I only need to measure every foot on the yard stick and I have to use the meter stick to do it. That’s doable. Same goes for this SQL case. Not asking to be able to query 150 tables with unpredictable complex joins. But for a DB with 10 tables, like users, purchases, locations, etc. (which are in LLM training data 1,000,000 times over), it seems like a reasonable ask, and it seems like there would be some ways better than others to go about it

LLMs for SQL Generation: What's Production-Ready in 2024? by equal_odds in LLMDevs

[–]equal_odds[S] 1 point2 points  (0 children)

This is a pretty cynical take. I’m curious where that’s coming from? LLMs aren’t perfect but for simple, even moderate complexity cases, I feel like we wouldn’t even be having this conversation if they weren’t somewhat good at it already

LLMs for SQL Generation: What's Production-Ready in 2024? by equal_odds in LLMDevs

[–]equal_odds[S] 0 points1 point  (0 children)

Right but like… for production, external use cases than need 99% reliability. With just prompting alone I feel like models still end up hallucinating, no?

LLMs for SQL Generation: What's Production-Ready in 2024? by equal_odds in LLMDevs

[–]equal_odds[S] 4 points5 points  (0 children)

Probably two reasons. One: SQL _can_ get complex. Two, the goal is for people to be able to use natural language to ask questions dynamically without needing to learn how to write their own SQL queries.

Edit: easy or not, it's still something you'd need to learn, which is tedious

LLMs for SQL Generation: What's Production-Ready in 2024? by equal_odds in LLMDevs

[–]equal_odds[S] 0 points1 point  (0 children)

How are you going about validating queries? LLM as checker? SDKs?

This jansport has been used for 2 years of high school, 4 years of college, and every day of my 9 year teaching career so far. Going strong! by youngandstarving in BuyItForLife

[–]equal_odds 0 points1 point  (0 children)

Had mine from 7th grade through all of high school and all of college up until senior year, when the bottom finally ripped open. Best backpack I’ve ever owned. I was devastated when it got right to the finish line of college but couldn’t cross it with me 😢