Attention Is All You Need
Paper
•
1706.03762
•
Published
•
34
AI learning
-
-
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 24 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 8 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 39 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 137 -
Layer Normalization
Paper • 1607.06450 • Published • 1 -
Segment Anything
Paper • 2304.02643 • Published • 2 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 37 -
Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
Paper • 2307.05695 • Published • 21 -
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 • 28 -
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Paper • 2307.16789 • Published • 93 -
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models
Paper • 2308.00675 • Published • 34 -
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 • 3.83k • 255 -
stingning/ultrachat
Viewer • Updated • 10.6k • 385 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 84 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 11 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 233 -
Code Llama: Open Foundation Models for Code
Paper • 2308.12950 • Published • 18 -
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 -
Physics of Language Models: Part 3.2, Knowledge Manipulation
Paper • 2309.14402 • Published • 3 -
Wuerstchen: Efficient Pretraining of Text-to-Image Models
Paper • 2306.00637 • Published • 10 -
microsoft/phi-1_5
Text Generation • Updated • 113k • 1.27k -
replit/replit-code-v1_5-3b
Text Generation • Updated • 1.33k • 276 -
ybelkada/segment-anything
Updated • 85 -
HuggingFaceH4/zephyr-7b-alpha
Text Generation • Updated • 84.7k • 1.07k -
Intel/whisper-large-v2-onnx-int4-inc
Automatic Speech Recognition • Updated • 13 • 23 -
fondant-ai/fondant-cc-25m
Viewer • Updated • 49 -
Mistral 7B
Paper • 2310.06825 • Published • 41 -
ostris/ikea-instructions-lora-sdxl
Text-to-Image • Updated • 2.25k • 194 -
facebook/belebele
Viewer • Updated • 55.7k • 74 -
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Paper • 2208.12242 • Published • 5 -
Adding Conditional Control to Text-to-Image Diffusion Models
Paper • 2302.05543 • Published • 24 -
MusicLM: Generating Music From Text
Paper • 2301.11325 • Published • 1 -
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 • 16 -
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
Paper • 2109.10282 • Published • 4 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 48