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Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper • 2401.02038 • Published • 60 -
Learning To Teach Large Language Models Logical Reasoning
Paper • 2310.09158 • Published • 1 -
ChipNeMo: Domain-Adapted LLMs for Chip Design
Paper • 2311.00176 • Published • 8 -
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Paper • 2308.09583 • Published • 7
Collections
Discover the best community collections!
Collections including paper arxiv:2312.02120
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CodeFusion: A Pre-trained Diffusion Model for Code Generation
Paper • 2310.17680 • Published • 68 -
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Paper • 2311.02303 • Published • 4 -
A Survey on Language Models for Code
Paper • 2311.07989 • Published • 21 -
Magicoder: Source Code Is All You Need
Paper • 2312.02120 • Published • 78
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AlpaGasus: Training A Better Alpaca with Fewer Data
Paper • 2307.08701 • Published • 21 -
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
Paper • 2303.03915 • Published • 6 -
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
Paper • 2309.04662 • Published • 21 -
SlimPajama-DC: Understanding Data Combinations for LLM Training
Paper • 2309.10818 • Published • 10
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Creative Robot Tool Use with Large Language Models
Paper • 2310.13065 • Published • 7 -
CodeCoT and Beyond: Learning to Program and Test like a Developer
Paper • 2308.08784 • Published • 5 -
Lemur: Harmonizing Natural Language and Code for Language Agents
Paper • 2310.06830 • Published • 29 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 69
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Paper • 2202.07922 • Published • 1 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 17 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4
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BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 96 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 68 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 39 -
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 39
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In-Context Pretraining: Language Modeling Beyond Document Boundaries
Paper • 2310.10638 • Published • 27 -
Magicoder: Source Code Is All You Need
Paper • 2312.02120 • Published • 78 -
Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion
Paper • 2312.14327 • Published • 6 -
WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation
Paper • 2312.14187 • Published • 49
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 581 -
Mixtral of Experts
Paper • 2401.04088 • Published • 156 -
Mistral 7B
Paper • 2310.06825 • Published • 45 -
Don't Make Your LLM an Evaluation Benchmark Cheater
Paper • 2311.01964 • Published • 1
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PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models
Paper • 2309.05793 • Published • 50 -
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Paper • 2308.04079 • Published • 163 -
stabilityai/stable-diffusion-xl-base-1.0
Text-to-Image • Updated • 3.46M • • 5.56k -
Ryukijano/lora-trained-xl-kaggle-p100
Text-to-Image • Updated • 1