Attention Is All You Need
Paper • 1706.03762 • Published • 121
AI learning
-
-
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 14 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 60 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 15 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 61 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 154 -
Layer Normalization
Paper • 1607.06450 • Published • 4 -
Segment Anything
Paper • 2304.02643 • Published • 6 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 64 -
Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
Paper • 2307.05695 • Published • 24 -
Visualizing and Understanding Convolutional Networks
Paper • 1311.2901 • Published -
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Paper • 2305.07759 • Published • 45 -
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Paper • 2307.16789 • Published • 102 -
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models
Paper • 2308.00675 • Published • 37 -
Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve
Paper • 2309.13638 • Published -
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
Paper • 2307.02477 • Published -
openbmb/UltraFeedback
Viewer • Updated • 64k • 5.79k • 413 -
openbmb/UltraChat
Viewer • Updated • 949k • 9.23k • 485 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 90 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 23 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 251 -
Code Llama: Open Foundation Models for Code
Paper • 2308.12950 • Published • 29 -
DocPrompting: Generating Code by Retrieving the Docs
Paper • 2207.05987 • Published • 1 -
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
Paper • 1602.07360 • Published • 1 -
Physics of Language Models: Part 3.2, Knowledge Manipulation
Paper • 2309.14402 • Published • 7 -
Wuerstchen: Efficient Pretraining of Text-to-Image Models
Paper • 2306.00637 • Published • 13 -
microsoft/phi-1_5
Text Generation • 1B • Updated • 81.5k • 1.36k -
replit/replit-code-v1_5-3b
Text Generation • Updated • 1.19k • 313 -
ybelkada/segment-anything
Updated • 123 -
HuggingFaceH4/zephyr-7b-alpha
Text Generation • 7B • Updated • 5.37k • • 1.12k -
fondant-ai/fondant-cc-25m
Viewer • Updated • 25.9M • 284 • 54 -
Mistral 7B
Paper • 2310.06825 • Published • 58 -
ostris/ikea-instructions-lora-sdxl
Text-to-Image • Updated • 303 • • 239 -
facebook/belebele
Viewer • Updated • 110k • 18.1k • 126 -
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Paper • 2208.12242 • Published • 13 -
Adding Conditional Control to Text-to-Image Diffusion Models
Paper • 2302.05543 • Published • 58 -
MusicLM: Generating Music From Text
Paper • 2301.11325 • Published • 4 -
AudioLM: a Language Modeling Approach to Audio Generation
Paper • 2209.03143 • Published -
UniAudio: An Audio Foundation Model Toward Universal Audio Generation
Paper • 2310.00704 • Published • 20 -
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
Paper • 2109.10282 • Published • 13 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 122