Prompt Engineering Guide ICYMI, we recently launched the prompt engineering guide that makes it easier to stay up-to-date with prompt engineering techniques and papers. https://
promptingguide.ai
@dair_ai
-
Prompt Engineering Guide: Stay Updated with Latest Techniques
By
–
-
NeRFMeshing enables compact 3D surface reconstruction from NeRF
By
–
9/ NeRFMeshing – a compact and flexible architecture that enables easy 3D surface reconstruction from any NeRF-driven approach; distills NeRFs into geometrically-accurate 3D meshes.
-
FlexGen: High-Throughput LLM Engine for Limited GPU Memory
By
–
10/ FlexGen – a high-throughput generation engine for running LLMs with limited GPU memory.
-
Universal Prompt Retrieval Improves Zero-Shot AI Performance
By
–
7/ Universal Prompt Retrieval – a new approach to tune a lightweight and versatile retriever to automatically retrieve prompts to improve zero-shot performance and help mitigate hallucinations.
-
ConvMixer: Parameter-Efficient Alternative to Vision Transformers
By
–
8/ Patches Are All You Need – proposes ConvMixer, a parameter-efficient fully-convolutional model which replaces self-attention and MLP layers in ViTs with less-expressive depthwise and pointwise convolutional layers.
-
Deep RNNs Recovery for Long-Range Reasoning Tasks
By
–
6/ Resurrecting RNNs – demonstrates that careful design of deep RNNs using standard signal propagation arguments can recover the performance of deep state-space models on long-range reasoning tasks.
-
Top ML Papers of the Week: GPT-4 and Language Models
By
–
Top ML Papers of the Week (Mar 13 – Mar 19): – GPT-4
– FlexGen
– NeRFMeshing – Resurrecting RNNs
– An Overview of Language Models
– Universal Prompt Retrieval for LLMs
… -
GPT-4 Large Multimodal Model Advances General Knowledge
By
–
1/ GPT-4 – a large multimodal model with broader general knowledge and problem-solving abilities. https://t.co/drO0DXfZK9
— DAIR.AI (@dair_ai) 19 mars 20231/ GPT-4 – a large multimodal model with broader general knowledge and problem-solving abilities.
-
LERF: Language Embeddings in 3D Radiance Fields
By
–
2/ LERF (Language Embedded Radiance Fields) – a method for grounding language embeddings from models like CLIP into NeRF; this enables open-ended language queries in 3D.https://t.co/0zbkWzzTUT
— DAIR.AI (@dair_ai) 19 mars 20232/ LERF (Language Embedded Radiance Fields) – a method for grounding language embeddings from models like CLIP into NeRF; this enables open-ended language queries in 3D.
-
GigaGAN: Scaling GANs for Fast High-Resolution Image Synthesis
By
–
10/ GigaGAN – enables scaling up GANs on large datasets for text-to-image synthesis; it’s found to be orders of magnitude faster at inference time, synthesizes high-resolution images, & supports various latent space editing applications.