MedGemma: Our most capable open models for health AI development
research.google·3h
🏆LLM Benchmarking
Web application for comparing responses from different LLMs side-by-side.
github.com·17h·
Discuss: r/LocalLLaMA
🔧Developer tools
Fenic: A Cute, PySpark-Inspired DataFrame Framework for AI Workflows
typedef.ai·19h·
Discuss: Hacker News
⚡DataFusion
A language model built for the public good
ethz.ch·15h·
Discuss: Hacker News
🏆LLM Benchmarking
Towards Exception Safety Code Generation with Intermediate Representation Agents Framework
arxiv.org·16h
🪄Prompt Engineering
Evaluation of Habitat Robotics using Large Language Models
arxiv.org·16h
🏆LLM Benchmarking
StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation
arxiv.org·16h
🌊Async Patterns
A Directed Lazy Random Walk Model to Three-Way Dynamic Matching Problem
arxiv.org·16h
🤝Distributed Consensus
On Lockean beliefs that are deductively closed and minimal change
arxiv.org·16h
🧩Types
USIGAN: Unbalanced Self-Information Feature Transport for Weakly Paired Image IHC Virtual Staining
arxiv.org·16h
0Binary Vector Embeddings
Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools
arxiv.org·16h
🕯️Candle
ModelCitizens:Representing Community Voices in Online Safety
arxiv.org·16h
🛡️Content Moderation
Deep Learning of Continuous and Structured Policies for Aggregated Heterogeneous Treatment Effects
arxiv.org·16h
📊Embeddings
PrefixAgent: An LLM-Powered Design Framework for Efficient Prefix Adder Optimization
arxiv.org·16h
🧮SMT Solvers
A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models
arxiv.org·16h
🔄LLM RAG Pipelines
Computational models explore how regions of the visual cortex jointly represent visual information
medicalxpress.com·9h
📊Embeddings
RabakBench: Scaling Human Annotations to Construct Localized Multilingual Safety Benchmarks for Low-Resource Languages
arxiv.org·16h
🛡️AI Safety
Domain adaptation of large language models for geotechnical applications
arxiv.org·16h
🏆LLM Benchmarking
CORE: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks
arxiv.org·16h
💻Programming languages
ECom-Bench: Can LLM Agent Resolve Real-World E-commerce Customer Support Issues?
arxiv.org·16h
🏆LLM Benchmarking