Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models paper page: https://
huggingface.co/papers/2307.06
925
… Text-to-image (T2I) personalization allows users to guide the creative image generation process by combining their own visual concepts in natural language
MACHINE LEARNING
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Domain-Agnostic Tuning-Encoder for Fast Text-to-Image Personalization
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T2I-CompBench: Comprehensive Benchmark for Compositional Text-to-Image Generation
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T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation
— AK (@_akhaliq) 14 juillet 2023
paper page: https://t.co/K0AXSgLOuB
Despite the stunning ability to generate high-quality images by recent text-to-image models, current approaches often struggle to effectively… pic.twitter.com/EM1J4nLcORT2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation paper page: https://
huggingface.co/papers/2307.06
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… Despite the stunning ability to generate high-quality images by recent text-to-image models, current approaches often struggle to effectively -
In-context Autoencoder for Context Compression in Large Language Models
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In-context Autoencoder for Context Compression in a Large Language Model paper page: https://
huggingface.co/papers/2307.06
945
… propose the In-context Autoencoder (ICAE) for context compression in a large language model (LLM). The ICAE has two modules: a learnable encoder adapted with LoRA from -
InternVid: Large-Scale Video-Text Dataset for Multimodal Learning
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InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation paper page: https://
huggingface.co/papers/2307.06
942
… introduces InternVid, a large-scale video-centric multimodal dataset that enables learning powerful and transferable video-text representations for -
Generating Benchmarks for Factuality Evaluation of Language Models
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Generating Benchmarks for Factuality Evaluation of Language Models paper page: https://
huggingface.co/papers/2307.06
908
… Before deploying a language model (LM) within a given domain, it is important to measure its tendency to generate factually incorrect information in that domain. Existing -
Distilling Large Language Models for Biomedical Knowledge Extraction
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Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events paper page: https://
huggingface.co/papers/2307.06
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… Large language models (LLMs), such as GPT-4, have demonstrated remarkable capabilities across a wide range of tasks, including health -
Artificial Sensory Nervous System for Generative AI
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The Need For An Artificial Sensory Nervous System For Generative AI
#AI #AIio #BigData #ML #NLU #Futureofwork @gp_pulipaka @stratorob @PetiotEric @EvanKirstel @Fgraillot @HaroldSinnott @HeinzVHoenen @helene_wpli http://
ow.ly/TpPe30sw8By -
PyTorch and Deep Learning Software Podcast with Weights and Biases
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Just did a podcast covering a bunch of PyTorch / DL Software related topics, hosted by @l2k from @wandb
. It was a lot of fun.
Listen here https://
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Trending AI News Stories and Papers
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Trending AI news stories + papers https://
open.substack.com/pub/akhaliq/p/
trending-ai-news-stories-papers-aec
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What is AI and how will it change our lives?
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What is AI and how will it change our lives?
#AI #AIio #BigData #ML #NLU #Futureofwork @ahier @guzmand
@DavidBrin @denisegarth @dez_blanchfield @diioannid @DioFavatas @gerald_bader http://
ow.ly/23rU30sw8Bx