BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models paper page: https://
huggingface.co/papers/2306.10
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… Large language models (LLMs) have demonstrated remarkable prowess in language understanding and generation.
LLMS
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BayLing: Cross-lingual Alignment and Instruction Following for LLMs
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DecodingTrust: Assessing GPT Models Trustworthiness Comprehensively
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DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models paper page: https://
huggingface.co/papers/2306.11
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… Generative Pre-trained Transformer (GPT) models have exhibited exciting progress in capabilities, capturing the interest of practitioners and the public alike. Yet, -
Daft: A Python DataFrame for Complex Data
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GitHub – Eventual-Inc/Daft: The Python DataFrame for Complex Data
https://bit.ly/446lC24 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Tinygrad and Open Source ML Frameworks Competition Excitement
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I really enjoyed this podcast from @realGeorgeHotz (the transcripts make it much faster to grok). I'm genuinely excited about Tinygrad (and ggml and JAX). When there's competition that is exploring a new direction or philosophy, its exciting and fun and there's nothing more
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GPT-4 Architecture: 8 Experts with 16-Iteration Inference
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i might have heard the same — I guess info like this is passed around but no one wants to say it out loud.
GPT-4: 8 x 220B experts trained with different data/task distributions and 16-iter inference.
Glad that Geohot said it out loud. Though, at this point, GPT-4 is -
A Gentle Introduction to Large Language Models Without Hype
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A Very Gentle Introduction to Large Language Models without the Hype https://
bit.ly/3ohZHG1 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
SoTA Audio Encoding for TTS/TTA Language Modeling Pipeline
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Yep! It’s SoTA/ near-SoTA atm! This serves as the key piece in a TTS/ TTA pipeline. As it allows us to encode an audio into discrete representations and then perform language modelling on it!
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Next Generation Audio Models Development Mission
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Stay tuned for more!! We’re on the mission to enable the next gen audio models!
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Learning Video Representations from Large Language Models
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📺 Learning Video Representations from Large Language Models
— AI at Meta (@AIatMeta) 20 juin 2023
This work repurposed pre-trained LLMs to be conditioned on visual input, and finetune them to create automatic video narrators.
Paper ➡️ https://t.co/OsZt3AnAEM
3/7 pic.twitter.com/DLunz5bcgPLearning Representations from Large Language Models This work repurposed pre-trained LLMs to be conditioned on visual input, and finetune them to create automatic video narrators. Paper https://
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Transformers Integration Enables Large-Scale Text-to-Speech Music Models
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Okay, but why is it a big deal!? Transformers integration allows us to use any LM and dataset from the ecosystem seamlessly to train Text-to-Speech and Text-to-Music models at scale! More exciting announcements on this front soon! https://
github.com/Vaibhavs10/not
ebooks/blob/main/use_encodec_w_transformers.ipynb
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