kaushik92

4 ms·

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Botnets account for 25% of all Internet traffic(substack.com)
6 points by kaushik92 1y ago|0 comments
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Show HN: Compliant LLM toolkit for ensuring compliance & security of AI systems(github.com)
7 points by kaushik92 1y ago|0 comments
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Show HN: Compliant-LLM: Audit AI Agents for Compliance with NIST AI RMF(github.com)
11 points by kaushik92 1y ago|4 comments
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by kaushik92 2y ago
I have seen this, but I find it fairly hard to use. Our goal is to focus on datasets and make it very easy to create and manage data. In our next release, we will be launching a way to do this using a UI.
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by kaushik92 2y ago
We identified and solved for 2 key problems with generating data using GPT: 1. Duplicate/similar data points - we solve this by adding deduplication to our pipeline. 2. Incorrect question-answers - we check for correctness and context
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by kaushik92 2y ago
This is great feedback! Will work on adding this soon.
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by kaushik92 2y ago
We do care a lot about data privacy. While the data is sent to an API, we do not store anything on our servers or use our user's data in any way. We are working on getting SOC2 certified. In the meantime, we sign a legally binding agre
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by kaushik92 2y ago
Ragas is an eval tool which needs ground truths and queries for evaluation. FiddleCube generates the queries and the ground truth needed for eval in Ragas, LangSmith or an eval tool of choice. We incorporate user prompts to generate the out
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Show HN: FiddleCube – Generate Q&A to test your LLM(github.com)
78 points by kaushik92 2y ago|18 comments
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by kaushik92 3y ago
Congrats on the launch! Looks amazing
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by kaushik92 3y ago
Migration projects are painful and no developer enjoys them. Good to see a great solution to automate this!
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by kaushik92 3y ago
This is amazing. Really needed something like this to standardize all my different AI APIs! On a side note - I love how quickly your team is shipping! Do keep it going!
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by kaushik92 3y ago
Moving data in and out of Postgres in a fast and reliable way is exactly what my startup needs. I am looking forward to trying PeerDB!