nikhil896

Re:Show HN: Compliant-LLM: Audit AI Agents for Compliance with NIST AI... on Thursday May 29, 2025 @06:24PM (#44130966)

This is super useful!

Re:Show HN: R2R – Open-source framework for production-grade RAG on Monday February 26, 2024 @07:44PM (#39518666)

Cool! I enjoyed speaking with you about our RAG pipeline for call transcripts a week or so back. Will check out the launch

Show HN: QA GPT – Write UI tests in plain English powered by GPT-4-Vision

Posted by nikhil896 on Tuesday December 12, 2023 @04:24PM
from the show-hn dept.

https://github.com/Nikhil-Kulkarni/qa-gpt

Hey HN, QA GPT enables engineers and QA teams to write UI and functionality tests in plain english.As engineers, we sometimes get a little lazy when it comes to testing the functionality of our changes. It's hard to switch from coder hat to user hat. However, a single bug can significantly impact users experience and satisfaction.Errors found in production aren't just a nuisance; they're...

( Read More... | 2 comments | 9 points | on HN )

Re:You are never taught how to build quality software on Friday December 08, 2023 @02:56PM (#38573398)

It starts mattering more for consumer software when you reach mass scale. Somewhat hard-to-find bugs at the scale of hundreds of millions of users (like a social media company), turn into bugs faced by hundreds of thousands of users.

But at that scale (in my experience), QA is up front and center and is typically a core pillar of engineering orgs.

Re:MLX: An array framework for Apple Silicon on Wednesday December 06, 2023 @03:00AM (#38541500)

"import mlx as torch"

Re:Ask HN: Why is it taken for granted that LLM models will keep impro... on Tuesday December 05, 2023 @06:37PM (#38538466)

My counter-point to this is that babies are born with a sort of basic pre-trained LLM. Humans are born with our analogical weights & biases in our brains partly optimized to learn language, math, etc. Before pre-training an LLM, the weights & biases of their analogical brain are initialized with random values. Training on the internet can IMO be seen as a kind of "pre-training"

Re:LLM Visualization on Sunday December 03, 2023 @06:13PM (#38511776)

This is by far the best resource I've seen to understand LLMs. Incredibly well done! Thanks for this awesome tool

Ask HN: Are crypto wallets a race to the bottom?

Posted by nikhil896 on Thursday October 06, 2022 @10:26AM
from the ask-hn dept.

I've been researching non-custodial crypto wallets to understand the venture scale opportunity. The majority don't monetize today but plan on monetizing through taking a cut of on-ramp fees and swap fees. Given the nature of non-custodial wallets and the fact that you can take your private key anywhere, what's stopping people from moving from one service to another and making the wallets...

( Read More... | 1 comment | on HN )

Re:Ask HN: What's your quarantine side project? on Friday May 15, 2020 @08:59AM (#23191633)

My friends and I are working on a managed IAP backend for consumable purchases.

https://purchasepoint.landen.co/

We've made a few apps in the past that monetize with consumable purchases (specifically things like virtual currency, extra swipes for a dating app, etc.) and realized the backend we wrote each time for storing user inventory after making an in-app purchase was almost identical. PurchasePoint handles the details of Apple StoreKit and Google IAB transactions to track user inventory for you.