Tony Wu

tonywu71

21 43 66

AI & ML interests

LLM, Multimodal, Agents, Information Retrieval, RAG, Speech

Recent Activity

upvoted an article 11 days ago

One Adapter, Both Modalities: Field Notes from Building and Serving a Multimodal Reranker

liked a model about 1 month ago

theforecastingcompany/t0-alpha

upvoted a collection about 1 month ago

SuperBPE

View all activity

Organizations

upvoted an article 11 days ago

Article

One Adapter, Both Modalities: Field Notes from Building and Serving a Multimodal Reranker

lightonai

•

15 days ago

• 18

liked a model about 1 month ago

theforecastingcompany/t0-alpha

Time Series Forecasting • 0.1B • Updated Jun 15 • 7.63k • 34

upvoted a collection about 1 month ago

SuperBPE

Collection

SuperBPE tokenizers and models trained with them • 8 items • Updated Mar 23 • 18

liked 2 Spaces about 1 month ago

Gemma 4 WebGPU Kernels

⚡

317

Chat with Gemma 4 E2B AI model

Encoder-Free VLM

👁

Train Your Own Encoder-Free VLM in $100

upvoted 2 articles 2 months ago

Article

Harness, Scaffold, and the AI Agent Terms Worth Getting Right

sergiopaniego, ariG23498

•

May 25

• 135

Article

Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler

ariG23498, sayakpaul, sergiopaniego, ror, pcuenq

•

May 29

• 154

liked a Space 2 months ago

The ultimate guide to RL environments: building and scaling them in the LLM era

📝

205

Building and scaling RL environments for LLM training

upvoted an article 3 months ago

Article

Unlocking asynchronicity in continuous batching

ror, pcuenq, ariG23498

•

May 14

• 65

upvoted a paper 3 months ago

Working Notes on Late Interaction Dynamics: Analyzing Targeted Behaviors of Late Interaction Models

Paper • 2603.26259 • Published Mar 27 • 8

upvoted an article 3 months ago

Article

DeepSeek-V4: a million-token context that agents can actually use

burtenshaw

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Apr 24

• 53

liked a Space 5 months ago

The Synthetic Data Playbook: Generating Trillions of the Finest Tokens

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269

Visualize synthetic‑data experiments as an interactive bookshelf

upvoted an article 5 months ago

Article

Mixture of Experts (MoEs) in Transformers

ariG23498, pcuenq, merve, IlyasMoutawwakil, ArthurZ, sergiopaniego, Molbap

•

Feb 26

• 173

upvoted an article 6 months ago

Article

LateOn-Code & ColGrep: LightOn unveils state-of-the-art code retrieval models and code search tooling

lightonai

•

Feb 12

• 58

liked a Space 8 months ago

Evaluation Guidebook

📝

342

Explore LLM benchmark scores over time

upvoted 2 articles 8 months ago

Article

Transformers v5: Simple model definitions powering the AI ecosystem

lysandre, ArthurZ, cyrilvallez, reach-vb

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Dec 1, 2025

• 313

Article

Continuous batching from first principles

ror, ArthurZ, mcpotato

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Nov 25, 2025

• 425

authored a paper 9 months ago

Surfer 2: The Next Generation of Cross-Platform Computer Use Agents

Paper • 2510.19949 • Published Oct 22, 2025 • 38

upvoted a paper 9 months ago

Surfer 2: The Next Generation of Cross-Platform Computer Use Agents

Paper • 2510.19949 • Published Oct 22, 2025 • 38

liked a Space 9 months ago

The Smol Training Playbook

📚

3.25k

The secrets to building world-class LLMs

Tony Wu

AI & ML interests

Recent Activity

Organizations

tonywu71's activity

One Adapter, Both Modalities: Field Notes from Building and Serving a Multimodal Reranker

Gemma 4 WebGPU Kernels

Encoder-Free VLM

Harness, Scaffold, and the AI Agent Terms Worth Getting Right

Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler

The ultimate guide to RL environments: building and scaling them in the LLM era

Unlocking asynchronicity in continuous batching

DeepSeek-V4: a million-token context that agents can actually use

The Synthetic Data Playbook: Generating Trillions of the Finest Tokens

Mixture of Experts (MoEs) in Transformers

LateOn-Code & ColGrep: LightOn unveils state-of-the-art code retrieval models and code search tooling

Evaluation Guidebook

Transformers v5: Simple model definitions powering the AI ecosystem

Continuous batching from first principles

The Smol Training Playbook