HackerTrans
TopNewTrendsCommentsPastAskShowJobs

3d27

no profile record

Submissions

How to evaluate multi-turn LLM chatbots

confident-ai.com
3 points·by 3d27·2 tahun yang lalu·0 comments

We wrote a comprehensive guide on LLM security

confident-ai.com
1 points·by 3d27·2 tahun yang lalu·0 comments

How to generate synthetic data using SOTA data evolution methods

confident-ai.com
1 points·by 3d27·2 tahun yang lalu·0 comments

How to build your own LLM evaluation framework

confident-ai.com
2 points·by 3d27·2 tahun yang lalu·0 comments

Overview of All Major LLM Benchmarks

confident-ai.com
1 points·by 3d27·2 tahun yang lalu·0 comments

I wrote an article about everything I know about LLM metrics

confident-ai.com
2 points·by 3d27·2 tahun yang lalu·1 comments

Best practices I learnt from helping health tech enterprise test LLMs

confident-ai.com
1 points·by 3d27·2 tahun yang lalu·0 comments

Am I too needy? From a data science perspective

medium.com
1 points·by 3d27·2 tahun yang lalu·1 comments

Best Practices for Unit Testing RAG Systems in Prod

confident-ai.com
4 points·by 3d27·2 tahun yang lalu·0 comments

Tried Apple's Vision Pros, would not recommend it

theverge.com
2 points·by 3d27·2 tahun yang lalu·0 comments

Everything I know about LLM evaluation metrics

confident-ai.com
7 points·by 3d27·2 tahun yang lalu·0 comments

Google 2024 Layoffs on a rolling-basis

1 points·by 3d27·2 tahun yang lalu·0 comments

Meta Going All in on GenAI

datacenterdynamics.com
3 points·by 3d27·2 tahun yang lalu·2 comments

I used QAG to implement an LLM text summarization evals

confident-ai.com
3 points·by 3d27·3 tahun yang lalu·0 comments

I found a way to code like Shakespear

shakespearelang.com
1 points·by 3d27·3 tahun yang lalu·1 comments

I implemented 12+ LLM evaluation metrics so you don't have to

old.reddit.com
4 points·by 3d27·3 tahun yang lalu·1 comments

AI Makes Commercial Masterpiece [video]

youtube.com
2 points·by 3d27·3 tahun yang lalu·0 comments

Show HN: I implemented evals metrics for LLMs that runs locally on your machine

github.com
22 points·by 3d27·3 tahun yang lalu·3 comments

Overcoming the biggest barrier to practical quantum computers

breakingdefense.com
1 points·by 3d27·3 tahun yang lalu·0 comments

Google's new model is good but the demo's not reproducible in Bard

boingboing.net
1 points·by 3d27·3 tahun yang lalu·0 comments

comments

3d27
·2 tahun yang lalu·discuss
Checkout this instead: https://github.com/confident-ai/deepeval

Also has native ragas implementation but supports all models.
3d27
·2 tahun yang lalu·discuss
This is great. I'm also building an LLM evaluation framework with all these benchmarks integrated in one place so anyone can go benchmark these new models on their local setup in under 10 lines of code. Hope someone finds this useful: https://github.com/confident-ai/deepeval
3d27
·2 tahun yang lalu·discuss
(found this interesting post on medium, this is not my original work)
3d27
·2 tahun yang lalu·discuss
There's a lot more in the evaluation space, including this one: https://github.com/confident-ai/deepeval
3d27
·2 tahun yang lalu·discuss
I'm just imagining Jensen Huang laughing in his sleep right now...
3d27
·3 tahun yang lalu·discuss
How did you calculate accuracy and bias?
3d27
·3 tahun yang lalu·discuss
The package I built is like a provider for 10+ different evaluation metrics that run both locally on your machine using models from hugging-face but also on the cloud IF you want more functionality.

If you want to evaluate a fine-tuned model, we have integrations with LM Harness and Stanford HELM coming out. If you want to evaluate a RAG application, we have 7+ metrics available for that.

You can also create your custom metrics using our interface!