Jason Liu
10 statements across 1 episodes · 5 bullish · 3 bearish · 1 people on the record · first statement Apr 24, 2024 by Jason Liu · said 3 times in 3 episodes since 2024 · across every show →
On the record as a speaker too: Jason Liu's record, appearances and statements → this page counts the times other people say the name.
Mentions by year
brought up most by Shawn Wang (1), Alessio Fanelli (1)
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2025 2 mentions in 2 episodes 1 per episode
2024 1 mention in 1 episode
Everything said about Jason Liu, oldest first
Apr 24, 2024 negative
Liu: Companies abandon LLM frameworks to regain control over prompts
“So much of it is changing that if you give control of these systems away too early, you end up ultimately wanting them back. Like many companies I know that I reach out or ones were like, oh, we're going off of the frameworks because now that we know what the …”
Apr 24, 2024 bullish
Liu: XGBoost rankers will beat LLMs for large-scale tool selection
“Yeah, my money is on the rankers because you can do those so easily, right? You could just say, well, given the embeddings of my search query and the embeddings of the description, I can just train XGBoost and just make sure that I have very high, like, MRR, w…”
Apr 24, 2024 positive
Liu: Define explicit conditions for revisiting negative machine learning experiment results
“Like what you should write down is like, here are the conditions. This is the inputs and the outputs we tried the experiment on. And then one thing that's really valuable is basically writing down under what conditions would I revisit these experiments?”
Apr 24, 2024 positive
Liu: Fine-tuning on proprietary data at scale always beats off-the-shelf models
“We, because, I mean, at this point, we would have, like, you know, three million pieces of inventory, over, like, a billion interactions between users and clothes. Any kind of fine-taining would definitely outperform like, some off-the-shove model.”
Apr 24, 2024 neutral
Liu: LangChain and LlamaIndex can hit $100M revenue, but billions uncertain
“I think the bigger challenge is like, okay, a hundred million dollars, probably pretty, pretty easy. It's just time and effort. And they have both like the manpower and the money to sort of solve those problems. I think it's just like, again, if you go the VC …”
Apr 24, 2024 neutral
Apr 24, 2024 bearish
Liu: Admitted being bearish on LLMs for four years before recent breakthroughs
“I mean, the biggest one really was the fact that, like, I think for just four years I was so bearish on language models. And just NLP in general, I was just like, ah, like, none of this really works. Like, why would I spend time focusing on this? I gotta go do…”
Apr 24, 2024 positive
Liu: Rank and retrieve tool definitions instead of passing dozens to LLMs
“If you're running into issues where you have, like, 20 or 50 or 60 function calls, I think you're much better having those specifications saved in a vector database, and then have them be retrieved. So if there are 30 tools, like, you should basically be, like…”
Apr 24, 2024 positive
Apr 24, 2024 negative
Liu: AI agents should use explicit DAG workflows over ReAct loops
“Instead of doing like a react type reasoning loop, I think my belief is that we should be using like workflows, right? If we do this, then we always have a request and a complete workflow. We can fine tune a model that has a better workflow. Whereas it's hard …”