The Ledger, every show

Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.

shows every show 44 of 44
every show
clear all ✕
LATENT SPACE Assertion Supported
Royzen: Phind built the first internet-scale LLM RAG search in 2022
“And to the best of my knowledge, I think that's the first example that I'm aware of a LLM search engine model that's effectively connected to, like, a large enough index that I would consider, like, an internet scale. So, so I think we were the first to releas…”
Michael Royzen Nov 3, 2023 ▶ 16:07 Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
LATENT SPACE Assertion Partly supported
Royzen: Phind Leads BigCode Leaderboard by 10 Points in Multi-Language Code
“All of our models are at the top of the big code leaderboard by far. It's not close, particularly in languages other than Python. We have a 10 point gap between us and the next best model on Java, JavaScript, I think C-sharp multilingual.”
Michael Royzen Nov 3, 2023 ▶ 41:03 Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
LATENT SPACE Assertion Partly supported
Royzen: BigScience's T-Zero predated InstructGPT in large-scale instruction tuning
“I think T-Zero is the first model that did large-scale instruction tuning from diverse data sources in the fall of twenty-twenty-one. This is before InstructGPT. This is before Flan T-Five, which came out in twenty-twenty-two. This is, I think, the very, very …”
Michael Royzen Nov 3, 2023 ▶ 14:42 Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
LATENT SPACE Assertion Supported
Royzen: INT8 quantization offers storage optimization without guaranteed inference speedups
“But with int eight, there's not necessarily a Speed increase. It's just the storage optimization.”
Michael Royzen Nov 3, 2023 ▶ 1:05:46 Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
LATENT SPACE Assertion Supported
Royzen: Quantized LLMs currently underperform unquantized baselines in quality
“So we have these great quantization libraries that, you know, for the most part are able to get the size down with not that much quality loss, but there is some, like the quantized models currently are actually worse than the non-quantized ones.”
Michael Royzen Nov 3, 2023 ▶ 1:05:53 Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
Made with StarZero

Turn any episode into a week of clips.

This entire site, thousands of episodes across every show transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.