Jaisidh Singh @jaisidhsingh
lukewarm pytorcher • i like to learn things. jaisidhsingh.bearblog.dev Joined August 2020-
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Following615
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Jaisidh Singh retweeted
I am once again shocked at how much better image retrieval performance you can get if you embed highly opinionated summaries of an image, a summary that came out of a visual language model, than using CLIP embeddings themselves. If you tell the LLM that the summary is going to be…
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Jaisidh Singh retweeted
Excited to share what I worked on during my time at Meta. - We introduce a Triton-accelerated Transformer with *2-simplicial attention*—a tri-linear generalization of dot-product attention - We show how to adapt RoPE to tri-linear forms - We show 2-simplicial attention scales…
Jaisidh Singh retweeted
They are not wrong.
Jaisidh Singh retweeted
the secrets to memetic virality are contained within these texts
Jaisidh Singh retweeted
We updated our codebase with a Colab notebook to finetune Gemma 3 (12B) using a TPU v6e-1 with just 32 GB of memory. We implemented everything from scratch in JAX, including sampling! We also updated our paper to be more explicit about parameter precision. github.com/martin-marek/b…
Jaisidh Singh retweeted
@DavidZagaynov “Hardworking people often have luck on their side” get that painted on a wall
We should “show and tell Fridays” where people show and talk about what they’re working on.
We should “show and tell Fridays” where people show and talk about what they’re working on.
Jaisidh Singh retweeted
Our IMO gold medal-winning AI pipeline is now model-agnostic. 🥇 What worked for Gemini 2.5 Pro now gets the same 5/6 score with GPT-5 & Grok4. This confirms the power of our verification-and-refinement pipeline to improve base model capabilities. The new code & results are…
Switching my main LLM to GPT-5 after so many months of Claude. My favourite was 3.5 Sonnet. Such personality.
A very minimal, nanoGPT-like implementation of HRM by my guy @avatsavirhs . Check it out & ⭐️ github.com/shrivastava95/…
Jaisidh Singh retweeted
🔍 Ever notice how attention layers only tweak the residual stream in a low-dimensional way? That low-rank writing is exactly why so many SAE features stay dead—until Active Subspace Init rescues them. 👇 #AI #ML #MechInterp
Another week another Nemotron. 53.6x generation speedup is nuts.
Jaisidh Singh retweeted
Introducing NSD-Bench. @jaisidhsingh @avatsavirhs ps: linked in comment
“All fear is rooted in the destruction of the ego.”
Every time I start making a research poster thinking I know how to make these things, I’m instantly corrected by the abomination that is my first draft.
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