📚 Training Data Transparency in AI: Tools, Trends, and Policy Recommendations 🗳️
yjernite
• • 2NEW Articles from Team or Enterprise organizations will get promoted to the main section.
🏷️ Build AI Feedback (AIF) datasets for LLM alignment with ⚗️ distilabel
alvarobartt
• Fine-Tuning LLMs: Supervised Fine-Tuning and Reward Modelling
rishiraj
• • 7Easy JAX training loops with Flax and Optax
afmck
• • 10On Learning JAX – A Framework for High Performance Machine Learning
afmck
• • 3Sentence Mining with OpenAI's Whisper
afmck
• Illustrated LLM OS: An Implementational Perspective
shivance
• • 31💨 Introducing Notus: a DPO fine-tune of Zephyr with a focus on high-quality data
alvarobartt
• • 1Faster Persistent Homology Alignment and Protein Complex Clustering with ESM-2 and Persistence Landscapes
AmelieSchreiber
• • 1Evaluating Large Language Models on Gender-Occupational Stereotypes Using the Wino Bias Test
Rakshit122
• • 2Unbelievable! Run 70B LLM Inference on a Single 4GB GPU with This NEW Technique
lyogavin
• • 48Clustering Protein Complexes using Persistent Homology and Finetuning ESM-2 for PPI Network Prediction
AmelieSchreiber
• • 2Streamlining ML Workflows: Integrating MLFlow Tracking with LangTest for Enhanced Model Evaluations
arshaan-nazir
• • 1Automatic Hallucination detection with SelfCheckGPT NLI
dhuynh95
• • 7Extracting Insights from Model Cards Using Open Large Language Models
davanstrien
• ESM-2 for Generating and Optimizing Peptide Binders for Target Proteins
AmelieSchreiber
• • 6Does Sketching Work?
ethanepperly
• • 3Understanding Zephyr
Isamu136
• • 6Are your NLP models deteriorating post-deployment? Let’s use unlabelled data to find out
santiviquez
• Persistent Homology Alignment (PHA): Replacing Multiple Sequence Alignments using ESM-2 and Persistent Homology
AmelieSchreiber
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