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MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
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RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
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Differentially Private Heavy Hitter Detection using Federated Analytics
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Llama 2: Open Foundation and Fine-Tuned Chat Models
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BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
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Neuralangelo: High-Fidelity Neural Surface Reconstruction
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Orca: Progressive Learning from Complex Explanation Traces of GPT-4
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AWQ: Activation-aware Weight Quantization for LLM Compression and AccelerationMassachusetts Institute of Technology
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TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest
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IMAGEBIND: One Embedding Space To Bind Them Al
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ReWOO: Decoupling Reasoning from Observation for Efficient LLM Reasoning
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Voyager: An Open-Ended Embodied Agent with Large Language Models
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QLoRA: Efficient Finetuning of Quantized LLMsUniversity of Washington
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Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
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Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
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Segment Anything
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Sequential Attention: Making AI Models Leaner and Faster Without Sacrificing Accuracy
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DAMO-YOLO : A Report on Real-Time Object Detection Design
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VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning
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Sparks of Artificial General Intelligence: Early experiments with GPT-4
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Generative Agents: Interactive Simulacra of Human Behavior
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Regression Transformer enables concurrent sequence regression and generation for molecular language modelling
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CAMEL: Communicative Agents for “Mind” Exploration of Large Language Models
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Reflexion: Language Agents with Verbal Reinforcement Learning
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Application-Agnostic Language Modeling for On-Device ASR
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Language Is Not All You Need: Aligning Perception with Language Models
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LLaMA: Open and Efficient Foundation Language Models
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Adding Conditional Control to Text-to-Image Diffusion ModelsStanford University
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Toolformer: Language Models Can Teach Themselves to Use Tools
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Flow Matching for Generative Modeling
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Why we built an AI supercomputer in the cloud
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mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
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Large language models generate functional protein sequences across diverse families
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Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
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Constitutional AI: Harmlessness from AI Feedback
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Robust Speech Recognition via Large-Scale Weak Supervision
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Stable Diffusion with Core ML on Apple Silicon
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Fast Inference from Transformers via Speculative DecodingStanford University, University of California, Berkeley
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Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
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GPTQ: Accurate Post-Training Quantization for Generative Pre-trained TransformersEidgenössische Technische Hochschule Zürich, Institute of Science and Technology Austria
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wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
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data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
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Synergizing Reasoning and Acting in Language Models
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PaLM: Scaling Language Modeling with Pathways
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Monolith: Real Time Recommendation System With Collisionless Embedding Table
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Rethinking Personalized Ranking at Pinterest: An End-to-End Approach
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Toy Models of Superposition
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AudioLM: A Language Modeling Approach to Audio Generation
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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
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Prompt Tuning for Generative Multimodal Pretrained Models
