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GENERATIVE AI
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LLMs behave like predictive text influenced by chat conditioning
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There’s no dialog before this, to be clear — I didn’t ask it to pretend. LLMs are just like this. Though there’s some some conditioning from the implicit chat syntax (“user:” etc.), to a much greater extent than most widely used LLMs this model really is “just predicting text.”
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Example contrasting base LLMs and RLHF-tuned models
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I tried to write a prompt to show how base LLMs differ from the RLHF-tuned ones everyone knows, and I think this gives a bit of the flavor. A message from Llama 3.1 405B (base), on whether it’s useful to talk to base LLMs:
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FocusLLM: Scaling LLM Context Through Parallel Decoding
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FocusLLM Scaling LLM's Context by Parallel Decoding discuss: https://
huggingface.co/papers/2408.11
745
… Empowering LLMs with the ability to utilize useful information from a long context is crucial for many downstream applications. However, achieving long context lengths with the conventional -
Holistic Evaluation Framework for Video Foundation Models
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TWLV-I Analysis and Insights from Holistic Evaluation on Foundation Models discuss: https://
huggingface.co/papers/2408.11
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… In this work, we discuss evaluating video foundation models in a fair and robust manner. Unlike language or image foundation models, many video foundation models -
TrackGo: Flexible Method for Controllable Video Generation
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TrackGo
— AK (@_akhaliq) 22 août 2024
A Flexible and Efficient Method for Controllable Video Generation
discuss: https://t.co/I8plJvUuUC
Recent years have seen substantial progress in diffusion-based controllable video generation. However, achieving precise control in complex scenarios, including… pic.twitter.com/oOWby6e6pBTrackGo A Flexible and Efficient Method for Controllable Generation discuss: https://
huggingface.co/papers/2408.11
475
… Recent years have seen substantial progress in diffusion-based controllable video generation. However, achieving precise control in complex scenarios, including -
Google Researchers Gebru and Mitchell Dismissed: Correction
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Petit point de correction: je n'ai jamais travaillé chez Google. C'est mes co-autrices (Gebru et Mitchell) qui sont licenciées.
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Zero-shot voice transfer module restores dysarthric speech via TTS
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Today we introduce a new zero-shot, cross-lingual voice transfer module that can be easily plugged into a state-of-the-art TTS system to restore the voices of speakers with dysarthric speech. See it in action at https://
youtube.com/watch?v=nOiGSq
Ekh_U
… and read more at
