Everything Amr Awadallah said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Amr Awadallah claims Vectara has solved the LLM hallucination problem
“I mean, you do have a human in the loop, so you can still qualify it, but we want it to be minimized to zero, and that's the problem that we solved.”
Secondary AI fact-checking models will reduce hallucinations to zero, predicts Awadallah
“You're going to have models that check the accuracy of other models, and that will help us bring down hallucination to zero.”
Open-core business models fail against AWS due to Amazon's manageability advantages
“Open core does not work against Amazon because open core, you're building the core open and then manageability, security, reliability. That's your pro pro Amazon is really good at that shit. Like that's the, they know how to do security. So, so it becomes very…”
Microsoft Azure 'cheats a little bit' when reporting total cloud revenue
“No, and Azure claims they do as well. Yeah, yeah, if you lump everything in, they claim. Right. But, yeah, they cheat a little bit. They do, and how they break out the numbers.”
Retrieval-augmented generation is 100 times cheaper than fine-tuning, says Amr Awadallah
“The grounded generation approach is real time. A new fact comes in is showing up in the answers right away. There is no hallucination. I mean, you minimize it significantly and the cost is a hundred times cheaper.”
Top developers, lawyers, and doctors will become 1,000x more productive using AI
“The 10 X developers, the 10 Xer developers, they are not going to be a hundred X. They're going to be a thousand X. The 10 X lawyers, they're going to be a thousand X. The 10 X VCs, they're going to be a thousand X. The 10 X doctors, they're going to be a thou…”
Public markets rightly penalized Cloudera for lagging on cloud software transition
“I believe that Cloudera could be a lot bigger and a lot more successful but the market has been penalizing Cloudera, rightly so, for not capturing the cloud's components as sooner.”
Vectara is avoiding enterprise search sales during the economic downturn
“That's number 11 on the CIO list of things to spend on. I'm not going to go after that during an economic downturn.”
DIY modular vector stacks face scale and latency issues in production
“And actually for prototyping, it's great to use that. Now get that into production at scale. And that's when you're going to start running into hiccups in terms of scalability cost wise, scalability performance wise on the ingest side, and then on the query ru…”
Amr Awadallah: Innovation is dead in the enterprise
“Innovation is dead in the enterprise.”
Future applications will rely on containerized microservices and service meshes
“The future of applications and infrastructure that they run on Is created with containerized microservices. So microservices is a very key part of this approach. Managed through a declarative system with a single control experience that uses a service mesh to …”
Google Cloud product maturity is far ahead of AWS and Azure
“So I think, I personally think, and not me, many of the analysts, like Gartner, Forrester, and many others, that the product maturity of what Google has, especially when it comes to data warehousing, or this kind of stuff, application modernization, or machine…”
Search engines are legacy and being replaced by answer engines
“So we're moving away from legacy, which I'm calling search engines. That's legacy to what we have today is answer engines that just give you the answer itself.”
Vectara's sentence encoder processed Vietnamese despite it being excluded from training
“So we just trained a new model, a fresher version that we're working on right now on about 30 languages and Vietnamese was not one of them. And it's still figured out how to go from Vietnamese too.”
Global developers outside Silicon Valley prefer turnkey APIs over assembling components
“The rest of the world, the entire world, Indonesia, the U S Ohio, like different states, they are prescriptive developers. They prefer the Ikea model. The Ikea model is here's the recipe for how to put the best together. Put these pieces, put these screws over…”
Semantic vector models perform poorly for exact lookups like VIN numbers
“They work very well for long form queries that have a meaning in them, where you can really extract the meaning. They don't work very well for lookups a VIN number, an ISBN number, somebody's name. They don't actually work very well for that.”
iOS and Android standardized mobile, driving massive software innovation
“But if you truly look at why did this happen at this scale, it comes down to two things, iOS and Android. IOS and Android gave us these standardized platforms in which you can build once and deploy anywhere and address anybody.”
Enterprise software takes years to reach market and update
“Applications within the enterprise, they take years. To get to the markets. And when they get to the market, it takes a year before they get updated again to the next release or the next version.”
Enterprise software is harder than consumer due to multiple internal stakeholders
“The problem is hard to solve in the enterprise compared to the consumer space because in the enterprise you have multiple masters.”
Google Anthos is the Android of the enterprise space
“Anthos is the Android of the enterprise space.”
Enterprise innovation requires a transition to fully managed serverless architectures
“For us to unlock and enable innovation in the enterprise, we really need to go, to get to this point.”
Google Cloud reached a $10B annual revenue run rate by early 2020
“Google, very recently, actually I think last week for the first time spit out how much they make from cloud. And the cloud revenue run rate right now is ten billion dollars.”
Open source wins platform standardization in enterprise software
“History has shown that open source, when it comes to standardization at the platform side, wins.”
Awadallah: Vectara provides ChatGPT for proprietary enterprise data
“So what we do is ChatGPT for your own data.”