text to video AI "Japan, Heavy Snow in Ginzan Onsen, 4K HDR, night" using @pika_labs pic.twitter.com/VOguuwOuK2
— AK (@_akhaliq) 7 juillet 2023
text to video AI "Japan, Heavy Snow in Ginzan Onsen, 4K HDR, night" using @pika_labs

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text to video AI "Japan, Heavy Snow in Ginzan Onsen, 4K HDR, night" using @pika_labs pic.twitter.com/VOguuwOuK2
— AK (@_akhaliq) 7 juillet 2023
text to video AI "Japan, Heavy Snow in Ginzan Onsen, 4K HDR, night" using @pika_labs
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GPT4 usage in May, reached out to support and still haven’t seen a response

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TLDR LongLLaMA, a large language model capable of handling long contexts of 256k tokens or even more https://
huggingface.co/syzymon/long_l
lama_3b
…

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Focused Transformer: Contrastive Training for Context Scaling paper page: https://
huggingface.co/papers/2307.03
170
…
model: https://
huggingface.co/syzymon/long_l
lama_3b
… Large language models have an exceptional capability to incorporate new information in a contextual manner. However, the full potential of such an

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Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts paper page: https://
huggingface.co/papers/2307.02
768
… Many cognitive approaches to well-being, such as recognizing and reframing unhelpful thoughts, have received considerable empirical support over the past decades, yet

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SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference paper page: https://
huggingface.co/papers/2307.02
628
… Autoregressive large language models (LLMs) have made remarkable progress in various natural language generation tasks. However, they incur high

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mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding paper page: https://
huggingface.co/papers/2307.02
499
… Document understanding refers to automatically extract, analyze and comprehend information from various types of digital documents, such as a web page.

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Had an energising time at the United Nations University @UNUniversity HQ in Tokyo , meeting the community invested in the future of AI, and talking through topics on SDG attainment, AI, governance, risks, opportunities and more. Thanks to Sabine, Nicholas, Tshilidzi

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Changelog
https://bit.ly/448H1YJ #AI #MachineLearning #DeepLearning #LLMs #DataScience
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after 5 years of hard work in any job, you’ll accumulate 10,000 hours of practice, and be an expert/master the fact that most people leave gigs before that point is self-sabotaging—it’s only after 5 years you start getting good most people’s attention span is simply too short