Tired: search engine
Wired: answer engine
Inspired: ???
🙂
INNOVATION
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Evolution from search engines to answer engines and beyond
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Neural Networks: Zero to Hero Series – Building Networks from Scratch
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(This will be part of my ongoing series Neural Networks: Zero to Hero https://
karpathy.ai/zero-to-hero.h
tml
… , on building neural networks, from scratch, in code. I have tweeted some of these videos individually already) -
Nvidia DGX Station GPU Failure and Form Factor Discontinuation
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My $250k DGX station is being replaced for a second time after a GPU failed (first time was the cooling system). I now see that Nvidia has completely exited the form factor.
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nanoGPT: Simplest Repository for Training Medium-Sized GPTs
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Didn't tweet nanoGPT yet (quietly getting it to good shape) but it's trending on HN so here it is 🙂 : https://
github.com/karpathy/nanoG
PT
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Aspires to be simplest, fastest repo for training/finetuning medium-sized GPTs. So far confirmed it reproduced GPT-2 (124M). 2 simple files of ~300 lines -
Long-term work on arxiv-sanity project iterations
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for sure! would love to know a bit more under the hood. I've working on this problem for a _long_ time, arxiv-sanity versions 1,2,3,4,5 and all 😀
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Bullish on Mem.ai’s Document Indexing and AI Integration
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. @memdotai is doing something similar with the way the AI reads and indexes all the docs in your account and can reference them when you use an AI command. It's why I'm so bullish on them as a company
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Digital Twins Transform Pharmaceutical Industry Productivity
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Did you know? Creating #digitaltwins can help companies in the #pharmaceuticalindustry reduce time to market and optimize productivity and availability. http://
ow.ly/UOB950LPbHp @stephatkins @mvollmer1 via @fogoros sponsored #sie_ai #sieX #siex1 #digitaltransformation #industry40 -
Prompts as New Interface: Managing Prompt Systems
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Doubtful. Prompts are the new interface. Perhaps the next phase is going to be around systems and apps that help you manage all these prompts, especially ones you ask in a series.
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GroqFlow: Automatic Toolflow for Machine Learning Workloads Mapping
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GroqFlow™ is our automatic toolflow for mapping #machinelearning workloads to GroqChip™, built in support for #PyTorch, #Keras, #ONNX and #Hummingbird, with more coming in every update. Connect at http://
github.com/groq/groqflow/
discussions
… to request additional models or proof points. -
Focus on outcomes, not on trendy tools or methods
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Don’t let the shiny object of AI distract you from the real outcomes you’re pursing. Keep focusing on the outcome, not how you get there.