🌲 Academic Staff at Stanford University (AIMI Center)
🦴 Radiology AI is my stuff
In this study, we explore how small, task-specific encoder-decoder models can rival (and sometimes outperform) much larger LLMs; all while being faster, cheaper, and easier to deploy.
ons.
In this study, we explore how small, task-specific encoder-decoder models can rival (and sometimes outperform) much larger LLMs; all while being faster, cheaper, and easier to deploy.
ons.
Automated Structured Report Generation
Let's revisit automated radiology report generation for CXR.
Free-form reports make it hard for AI systems to learn accurate generation, and even harder to evaluate. 🧵👇
@StanfordAIMI @hopprai
Automated Structured Report Generation
Let's revisit automated radiology report generation for CXR.
Free-form reports make it hard for AI systems to learn accurate generation, and even harder to evaluate. 🧵👇
@StanfordAIMI @hopprai
www.nature.com/articles/s4...
www.nature.com/articles/s4...
huggingface.co/IAMJB/chexpe...
Its also a top ranking model on RexRank (rexrank.ai)
huggingface.co/IAMJB/chexpe...
Its also a top ranking model on RexRank (rexrank.ai)
@radiology_rsna, colleagues at stanford dive into how foundation models (FMs) are set to revolutionize radiology!
@radiology_rsna, colleagues at stanford dive into how foundation models (FMs) are set to revolutionize radiology!
What a trick...
What a trick...
🤯 3,000 expert-level questions across 100+ subjects, created by nearly 1,000 subject matter experts globally.
🤯 3,000 expert-level questions across 100+ subjects, created by nearly 1,000 subject matter experts globally.
An agent's memory helps it plan and react by leveraging past interactions or external data via prompt context. Here’s a breakdown:
𝟭. Episodic Memory: Logs past actions/interactions (e.g., stored in a vector database for semantic search).
An agent's memory helps it plan and react by leveraging past interactions or external data via prompt context. Here’s a breakdown:
𝟭. Episodic Memory: Logs past actions/interactions (e.g., stored in a vector database for semantic search).
Kling AI just announced Elements
🌎 First, world building:
Craft your characters, environments, props. Plan your motion and VFX.
🎛️ Then, remixing:
Bring it all together into a cohesive story.
Kling AI just announced Elements
🌎 First, world building:
Craft your characters, environments, props. Plan your motion and VFX.
🎛️ Then, remixing:
Bring it all together into a cohesive story.
Amazing. Agent Roles:
⛳ PhD Agent: Conducts literature reviews, interprets results, writes reports.
⛳ Postdoc Agent: Plans research, designs experiments.
⛳ ML Engineer Agent: Prepares data, writes, optimizes code.
⛳ Professor Agent: Oversees, refines reports.
Amazing. Agent Roles:
⛳ PhD Agent: Conducts literature reviews, interprets results, writes reports.
⛳ Postdoc Agent: Plans research, designs experiments.
⛳ ML Engineer Agent: Prepares data, writes, optimizes code.
⛳ Professor Agent: Oversees, refines reports.
>> Hybrid linear-softmax attention working very well at large scale and long-context
filecdn.minimax.chat/_Arxiv_MiniM...
>> Hybrid linear-softmax attention working very well at large scale and long-context
filecdn.minimax.chat/_Arxiv_MiniM...
arxiv.org/pdf/2501.07301
arxiv.org/pdf/2501.07301
Contrib: Temporal Gaussian Hierarchy representation for long volumetric video.
Contrib: Temporal Gaussian Hierarchy representation for long volumetric video.
✨ Implicit PRM (no labels)
🔄 Online updates, zero overhead
🎯 Token-level rewards + RLOO
Scaling up with 3x more data!
✨ Implicit PRM (no labels)
🔄 Online updates, zero overhead
🎯 Token-level rewards + RLOO
Scaling up with 3x more data!
www.thelancet.com/journals/la...
www.thelancet.com/journals/la...
• Stable pretraining
• LR annealing, data curricula, and soups
• Tulu post-training
• Compute infrastructure
• Stable pretraining
• LR annealing, data curricula, and soups
• Tulu post-training
• Compute infrastructure
After DiffSensei yesterday, @ylecun is once again being style-transferred!
(⚡Llama 3.3) Chat with the paper: huggingface.co/spaces/hugg...
🤗 Model: huggingface.co/zongzhuofan...
🤗 Demo: huggingface.co/spaces/zong...
🤗 Paper: huggingface.co/papers/2412...
After DiffSensei yesterday, @ylecun is once again being style-transferred!
(⚡Llama 3.3) Chat with the paper: huggingface.co/spaces/hugg...
🤗 Model: huggingface.co/zongzhuofan...
🤗 Demo: huggingface.co/spaces/zong...
🤗 Paper: huggingface.co/papers/2412...