TastyLamps

5 ms·

1.
Open RAG Eval(github.com)
6 points by TastyLamps 1y ago|1 comments
2.
Correcting LLM Hallucinations(vectara.com)
1 points by TastyLamps 2y ago|0 comments
3.
Correcting Hallucinations in Large Language Models(vectara.com)
11 points by TastyLamps 2y ago|0 comments
4.
Mockingbird: A RAG-Focused LLM(vectara.com)
18 points by TastyLamps 2y ago|2 comments
5.
by TastyLamps 2y ago
I'm happy to share that today we are releasing the Mockingbird LLM. At <10B parameters it's an LLM trained to provide optimal results for RAG and structured outputs. Although significantly smaller (and thus faster) than GPT-4 o
6.
Why Do Grapes Spark in the Microwave? (2019)(sciencefriday.com)
1 points by TastyLamps 2y ago|0 comments
7.
by TastyLamps 3y ago
I think in addition to all the benchmarks used right now for LLM evaluation (HumanEval and the like). It would be interesting to have a 'hallucination benchmark' with a summarization based hallucination dataset.
8.
Show HN: Talk to YouTube – RAG for YouTube Videos(github.com)
14 points by TastyLamps 3y ago|1 comments
9.
GBoard Caps [video](youtube.com)
2 points by TastyLamps 3y ago|0 comments
10.
Show HN: Boomerang, a new embedding model for RAG and semantic search(vectara.com)
18 points by TastyLamps 3y ago|13 comments
11.
Bob and Juliet? Rag vs. Finetuning an LLM(twitter.com)
9 points by TastyLamps 3y ago|3 comments
12.
by TastyLamps 3y ago
Google did something similar in 2017 (although it's overlaying your WHOLE FACE) on the headset and only when viewed through a camera: https://blog.google/products/google-ar-vr/google-research-an...
13.
Muslim Prayer Times Around the World During a Period of 24 Hours [OC](old.reddit.com)
3 points by TastyLamps 5y ago|0 comments