embedding models

4 statements across 1 episodes · 1 bullish · 1 bearish · 1 people on the record · first statement Jun 6, 2024 by Tengyu Ma · across every show →

Everything said about embedding models, oldest first

Jun 6, 2024
Insight
Ma: Latency Limits Embedding Models to 10 Billion Parameters
“Basically it's impossible to use more than ten billion parameters. For embedding models.”
Tengyu Ma Jun 6, 2024 ▶ 24:36 No Priors Ep. 67 | With Voyage AI Co-Founder and CEO
Jun 6, 2024 neutral
Insight
Ma: Agent Chaining Architectures Still Rely on Embedding Models
“On the first level bit I would say is that I think it's kind of orthogonal to embedding models and re-rankers to some degree, because even when you have agent chaining, right, you still probably use embedding models as part of the chain, right?”
Tengyu Ma Jun 6, 2024 ▶ 18:18 No Priors Ep. 67 | With Voyage AI Co-Founder and CEO
Jun 6, 2024 positive
Prediction Not checkable as stated
Ma: RAG Software Heuristics Will Vanish as Embedding Models Improve
“And my long term vision here is that some of the software engineering layers on top of the networks will be less and less needed when the networks are more and more clever.”
Tengyu Ma Jun 6, 2024 ▶ 22:20 No Priors Ep. 67 | With Voyage AI Co-Founder and CEO
Jun 6, 2024 bearish
Prediction Not checkable as stated
Ma: Iterative Retrieval Will Diminish as Embedding Models Improve
“However, in the long run, my suspicion is that iterative retrieval will be useful, but it will be a bit less useful as the If the embedding models becomes more and more clever, right? So once the embedding models are more clever, then maybe one run or two runs…”
Tengyu Ma Jun 6, 2024 ▶ 20:01 No Priors Ep. 67 | With Voyage AI Co-Founder and CEO
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