Going multimodal: How Prezi is leveraging the Hub and the Expert Support Program to accelerate their ML roadmap
•
11
Moritz Laurer
MoritzLaurer
AI & ML interests
None yet
Recent Activity
updated
a Space
about 19 hours ago
MoritzLaurer/phoenix-arize-observability-demo
updated
a Space
about 20 hours ago
MoritzLaurer/hf-model-downloads
published
a Space
about 20 hours ago
MoritzLaurer/hf-model-downloads
Articles
Organizations
MoritzLaurer's activity
updated
a
Space
about 19 hours ago
updated
a
Space
about 20 hours ago
published
a
Space
about 20 hours ago
upvoted
an
article
about 21 hours ago
Article
Gradio spaces are the perfect agent tools\!
By
•
•
7
updated
2
datasets
about 24 hours ago
updated
a
dataset
1 day ago
upvoted
an
article
2 days ago
Article
Introducing multi-backends (TRT-LLM, vLLM) support for Text Generation Inference
•
42
Adding `safetensors` variant of this model
#3 opened 3 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#3 opened 3 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#3 opened 2 months ago
by
SFconvertbot
Librarian Bot: Add language metadata for dataset
#2 opened 11 days ago
by
librarian-bot
liked
a
Space
2 days ago
Upload ONNX weights
#1 opened 5 days ago
by
Xenova
Upload ONNX weights
#1 opened 5 days ago
by
Xenova
posted
an
update
3 days ago
Post
1765
Microsoft's rStar-Math paper claims that 🤏 ~7B models can match the math skills of o1 using clever train- and test-time techniques. You can now download their prompt templates from Hugging Face !
📏 The paper introduces rStar-Math, which claims to rival OpenAI o1's math reasoning capabilities by integrating Monte Carlo Tree Search (MCTS) with step-by-step verified reasoning trajectories.
🤖 A Process Preference Model (PPM) enables fine-grained evaluation of intermediate steps, improving training data quality.
🧪 The system underwent four rounds of self-evolution, progressively refining both the policy and reward models to tackle Olympiad-level math problems—without GPT-4-based data distillation.
💾 While we wait for the release of code and datasets, you can already download the prompts they used from the HF Hub!
Details and links here 👇
Prompt-templates docs: https://moritzlaurer.github.io/prompt_templates/
Templates on the hub: MoritzLaurer/rstar-math-prompts
Prompt-templates collection: MoritzLaurer/prompt-templates-6776aa0b0b8a923957920bb4
Paper: https://arxiv.org/pdf/2501.04519
📏 The paper introduces rStar-Math, which claims to rival OpenAI o1's math reasoning capabilities by integrating Monte Carlo Tree Search (MCTS) with step-by-step verified reasoning trajectories.
🤖 A Process Preference Model (PPM) enables fine-grained evaluation of intermediate steps, improving training data quality.
🧪 The system underwent four rounds of self-evolution, progressively refining both the policy and reward models to tackle Olympiad-level math problems—without GPT-4-based data distillation.
💾 While we wait for the release of code and datasets, you can already download the prompts they used from the HF Hub!
Details and links here 👇
Prompt-templates docs: https://moritzlaurer.github.io/prompt_templates/
Templates on the hub: MoritzLaurer/rstar-math-prompts
Prompt-templates collection: MoritzLaurer/prompt-templates-6776aa0b0b8a923957920bb4
Paper: https://arxiv.org/pdf/2501.04519
liked
a
Space
5 days ago
liked
a
model
5 days ago
liked
a
Space
5 days ago
liked
a
model
6 days ago
