Aurora-M: The First Open Source Biden-Harris Executive Order Red teamed Multilingual Language Model
mayank-mishra
• • 7NEW Articles from Team or Enterprise organizations will get promoted to the main section.
Gecko: Versatile Text Embeddings Distilled from Large Language Models
vladbogo
• • 5Finetune Mixtral 8x7B with AutoTrain
abhishek
• • 10How do Textual Inversion tokens destroy prompts?
Isamu136
• • 4Experiments with Bitnet 1.5 (~ngmi~)
joey00072
• • 8Create Mixtures of Experts with MergeKit
mlabonne
• • 27Elevate Responses: RAG with LlamaIndex & MongoDB
Andyrasika
• • 4Samantha Mistral Instruct 7b - Comprehensive Bulleted Notes
cognitivetech
• • 8Policy Questions Blog 1: AI Data Transparency Remarks for NAIAC Panel 📚🔍⚖️
yjernite
• • 4Protein similarity and Matryoshka embeddings
monsoon-nlp
• • 2A brief analysis of automerger data, feat. SLERP and DARE-TIES LLM merging
kgourgou
• • 2Data exploration and filtering with Nomic Atlas
visheratin
• • 6Giskard Bot: Identifying robustness, performance and ethical vulnerabilities in the Top 10 Most Popular Hugging Face Models
JMJM
• • 2Releasing Common Corpus: the largest public domain dataset for training LLMs
Pclanglais
• • 35What's Automatic Differentiation?
andmholm
• • 31Dive Deeper into Yi-9B
lorinma
• • 6Sparse Mixture of Experts Language Model from Scratch: Extending makeMoE with Expert Capacity
AviSoori1x
• • 14VideoMamba: State Space Model for Efficient Video Understanding
vladbogo
• • 3Better RAG 3: The text is your friend
hrishioa
• • 14Better RAG 2: Single-shot is not good enough
hrishioa
• • 19