TensorFlow, every mention
7 scenes (2024), the whole family · ← back to TensorFlow
tap a year for its mentions
every year 2024 anyone Jeremy Howard 4George Hotz 3Chris Lattner 3Alessio Fanelli 3Shawn Wang 1Sarah Chieng 1Michael Royzen 1Lin Qiao 1Ankur Goyal 1Akshay Agrawal 1
Verbatim, from the transcripts: the passages where TensorFlow comes up
Windsurf: The Enterprise AI IDE
- ▶ 57:22 unnamed speaker You can't just use VLLM and TensorFlow.
[Paper Club] Weight Streaming on Wafer-Scale Clusters (w/ Sarah Chieng of Cerebras)
- ▶ 39:36 Sarah Chieng Um, okay, so the Cerebris Graph Compiler, um, the CGC right here integrates with machine learning frameworks, such as, such as TensorFlow and PyTorch.
Why Compound AI + Open Source will beat Closed AI — with Lin Qiao, CEO of Fireworks AI
Production AI Engineering starts with Evals
- ▶ 1:23:24 Ankur Goyal We're writing only TensorFlow before.
A Comprehensive Overview of Large Language Models - Latent Space Paper Club
- ▶ 24:12 unnamed speaker So, things like, um, the libraries that we're using, um, JAX, PyTorch, TensorFlow, amongst others, um, there's this idea of distributed training, which means that, um, can we use multiple GPUs to train our models so that we are able to…
- ▶ 38:17 unnamed speaker So, um, essentially what happens is that if you go to maybe say, um, TensorFlow datasets or Hugging Face, you'll be able to download them, um, and then you'll be able to observe, um, these datasets, uh, by itself.
Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
- ▶ 10:35 unnamed speaker He mentioned when he was at Google, TensorFlow, it's trying to be optimized to make TPUs go brr, you know, and go as fast.