TensorFlow, every mention
39 scenes, the whole family · ← back to TensorFlow
tap a year for its mentions
every year anyone Auren Hoffman 6Matt Turck 4Florian Douetteau 4Diego Oppenheimer 4Lukas Biewald 3Lin Qiao 3Dillon Erb 3William Falcon 2Kurt Rohloff 2Dave Burgess 2
Verbatim, from the transcripts: the passages where TensorFlow comes up
Inside Nemotron & NVIDIA’s AI Lab | Bryan Catanzaro
- ▶ 14:30 Bryan Catanzaro Uh, first Copperhead, which was a, it was a, a Python, uh, embedded language that, um, compiled to the GPU, um, which I think foreshadowed a lot of things in TensorFlow and, and PyTorch.
AI is Already Building AI — Google DeepMind’s Mostafa Dehghani
- ▶ 37:08 Mostafa Dehghani Part of this code base based on TensorFlow, like tensor to tensor, it was the name of the code that's still there.
The End of GPU Scaling? Compute & The Agent Era — Tim Dettmers (Ai2) & Dan Fu (Together AI)
- ▶ 15:22 Tim Dettmers One of us, TensorFlow, big step up.
Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
The $4.5B Platform Driving the Open Source AI Revolution | Clem Delangue, CEO, Hugging Face
- ▶ 29:54 Clement Delangue From, ah, from Google, but, ah, but it kind of sucks because it's in, ah, TensorFlow, and, and most people today wanna use PyTorch.
Hollywood Producers FREAK OUT over AI | Cris Valenzuela, CEO of Runway
- ▶ 3:38 Cris Valenzuela Um, Image was working really well, not really well, sorry, um, like GANs were like the state-of-the-art thing at the time, but for me it wasn't really, um, like one algorithm or one technique, it was more when I started, like, delving into…
Reinventing Search with AI: Richard Socher on Building You.com & the Future of Google
- ▶ 2:04 Richard Socher This was, you know, before there was high torch, before it was TensorFlow, uh, there are a few sort of smaller frameworks.
Startup to Industry Standard: Lukas Biewald Explains How W&B Scaled MLOps for OpenAI, NVIDIA & More
- ▶ 47:27 Lukas Biewald Like everyone thought TensorFlow had won. 3 times in the scene
Build and Deploy AI with Pytorch | Lightning AI Founder & CEO, William Falcon
- ▶ 2:15 William Falcon But, um, so, while I was working on that, I was basically, I started with Theano, and then I moved into TensorFlow, and then Keras, and what I always found was that everything was overly verbose, and very restrictive.
- ▶ 17:47 William Falcon Ah, the attention stuff would have been out there if the Anno hadn't been created, if TensorFlow hadn't been created.
Fireside Chat: Dave Burgess (Head of Data Engineering, Pinterest) w/ Matt Turck (Partner, FirstMark)
- ▶ 16:05 Dave Burgess So we use TensorFlow from Google.
- ▶ 22:38 Dave Burgess And so we provide the, the glue and the underlying infrastructure, uh, with TensorFlow and PyTorch and all the, all the other components available to our internal customers.
Fireside Chat: Bindu Reddy (Founder & CEO, Abacus.AI) with Matt Turck (Partner, FirstMark)
- ▶ 12:15 Bindu Reddy TensorFlow, of course.
Fireside Chat: Chip Huyen with Matt Turck (Partner, FirstMark)
- ▶ 7:01 Chip Huyen So I think by pretty, in, in, in, in, in, it's pretty much the competition is between like Pytosh and TensorFlow.
Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
- ▶ 9:45 Jack Hanlon For a variety of prod systems, we actually transit almost all that stuff over to GCP, and we use TensorFlow and BigQuery for our analytics and our model concerns for a variety of reasons that we could spend all of our time just talking…
Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
- ▶ 16:18 Savin Goyal I want to see if they are on the TensorFlow versus PyTorch, like a whole bunch of different engineering related questions that,
Fireside Chat: Wes McKinney (Founder & CEO, Ursa Computing) with Matt Turck (Partner, FirstMark)
- ▶ 3:00 Wes McKinney So extracting, uh, extracting features from, from data sets and kind of all of that, that munging and, and, uh, and, uh, data work that that's needed before you can feed the data into a machine learning model, you know, TensorFlow…
Fireside Chat: Alok Gupta (Head of Data Science & ML, DoorDash) with Matt Turck (Partner, FirstMark)
- ▶ 5:40 Matt Turck So just, uh, again, reading through some of the stuff I've, I've seen XGBoost, LightGBM, CatBoost, obviously TensorFlow and PyTorch on the, on the neural network, um, side.
How to Resurrect Innovation in the Enterprise // Amr Awadallah, Google (FirstMark's Data Driven NYC)
- ▶ 31:08 unnamed speaker Um, are you able to, like, you guys just hired Chris Latner, and you're doing, you know, who's the father of Swift, and you're doing Swift with TensorFlow, and that seems to be a direction going forward in the future, and they, I'm using… 2 times in the scene
Computing On Encrypted Data // Kurt Rohloff, Duality (Firstmark's Data Driven NYC)
- ▶ 8:43 Kurt Rohloff Scikit-learn, TensorFlow, ah, machine learning models, and, ah, you know, even things as simple as regression and basic statistical type, um, analytics, and run analytics on data while it's encrypted. 2 times in the scene
CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
- ▶ 2:35 Dillon Erb Uh, sort of, I don't think often about sort of the fundamental kind of algorithmic shifts that are happening, uh, in this space, but instead, uh, how do you go from training these models and doing amazing things with, you know, a hundred…
- ▶ 3:24 Dillon Erb TFX.
- ▶ 13:39 Dillon Erb I think if you want to use TPUs and TensorFlow and Google, you know, machine learning tools, then you can stay in that ecosystem.
Fireside Chat: Mike Tuchen, CEO of Talend (TLND) (FirstMark's Data Driven NYC)
- ▶ 35:42 Mike Tuchen Um, and, you know, they were innovating with TensorFlow and so on, so they're betting behind that.
The Launch of Dataiku 5 // Florian Douetteau, Dataiku (FirstMark's Data Driven NYC)
- ▶ 20:35 Florian Douetteau So to give you some example, last year we added support for a Spark ML for machine learning, and we added support for TensorFlow with this release. 4 times in the scene
Fireside Chat: Chris Dixon, General Partner at Andreessen Horowitz (FirstMark's Data Driven)
- ▶ 7:27 Chris Dixon The, ah, you know, some of the best frameworks are free, like TensorFlow from Google.
- ▶ 14:37 Chris Dixon like, you can basically, the idea, yeah, that's not funny, so, uh, but, uh, that's, I guess, big passes for computer science jokes, so, um, but, uh, the idea is, though, that you can sort of, like, you know, you can download TensorFlow,…
A New Approach to Machine Intelligence // Ben Vigoda, Gamalon (FirstMark's Data Driven)
- ▶ 22:39 Ben Vigoda Um, it'd be like saying, you know, the only kind of deep learning is convolutional neural networks, and then we made TensorFlow, so we can make lots of different kinds of neural networks. 2 times in the scene
Make AI Less Mysterious // Serkan Piantino, Spell (FirstMark's Data Driven)
- ▶ 19:56 Serkan Piantino Yeah, um, any, so if you write your code using TensorFlow and specifically for TPUs, then it works there too.
Building an Operating System for AI // Diego Oppenheimer, Algorithmia (FirstMark's Data Driven)
- ▶ 3:48 Diego Oppenheimer And then this is one of my favorite quotes actually from our CTO, uh, which is kind of like our, our, our battle cry, which is TensorFlow is open source, but actually scaling it is not. 2 times in the scene
- ▶ 5:25 Diego Oppenheimer TensorFlow gets it up and running.
- ▶ 15:34 Diego Oppenheimer Maybe I have a TensorFlow model that's using a bit of R.
Where Should Machines Go to Learn? // Auren Hoffman, SafeGraph (FirstMark's Data Driven)
- ▶ 7:19 Auren Hoffman One kind of anecdote, one recent catalyst in machine learning has been kind of the invention of TensorFlow. 6 times in the scene
AI Startup Predictions // Bradford Cross - A fireside chat with Matt Turck (FirstMark's Data Driven)
- ▶ 12:51 Matt Turck Yeah, that's something that I see a lot, especially with TensorFlow, that created this whole weird signal that suddenly machine learning was open source available, and started seeing this whole flow of, you know, Harvard MBAs, you know,… 3 times in the scene
AI and a Different Type of Competitive Advantage // Omar Tawakol, Voicera (FirstMark's Data Driven)
- ▶ 18:59 Omar Tawakol So, uh, we also use TensorFlow and applications like that to help us, you know, build our own, um, kind of deep learning, keyword spotting models.
A Fresh Approach to Technical Computing // Viral Shah & Stefan Karpinski, Julia Computing
- ▶ 6:39 Stefan Karpinski Um, recently with the advent, like, advent of a lot of these, you know, fairly sophisticated AI frameworks, many of which have, um, you know, like TensorFlow has a Python interface, um, PyTorch is also becoming very popular, um, they have…
- ▶ 12:44 Viral Shah You don't even need a TensorFlow if you're using Julia.
Venture Capital Investor Panel: Investing in Big Data (Data Driven NYC / FirstMark)
- ▶ 18:25 Jake Flomenberg It open sourced TensorFlow, and we can have a debate about why they did that, and they want people to come on their cloud, of course, but they're sort of saying, hey, we're not gonna compete.
The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]
- ▶ 10:06 Christopher Nguyen People who want, you know, pure compute speed, and very fast training, and can afford to do that, so they would build the third case, a TensorFlow supercomputer.