ChatGPT was trained using RLHF, while Google, through its DeepMind entity, proposes an alternative approach called ReST—and this could significantly accelerate many processes. Paper link here: https://arxiv.org/pdf/2308.08998.pdf
LLMS
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ChatGPT Revolutionizes Healthcare With AI-Powered Clinical Diagnosis
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ChatGPT for Healthcare
— Pascal Bornet (@pascal_bornet) 22 août 2023
When LLMs meet clinical expertise, you get the ultimate AI powered diagnosis and treatment. This can revolutionize the way doctors approach patient care
Credit: Glass AI 2.0 v Gen AI#artificialintelligence #innovation #technology #chatgpt #techforgood pic.twitter.com/GzdUfSIGyCChatGPT for Healthcare When LLMs meet clinical expertise, you get the ultimate AI powered diagnosis and treatment. This can revolutionize the way doctors approach patient care Credit: Glass AI 2.0 v Gen AI
#artificialintelligence #innovation #technology #chatgpt #techforgood -
Publishers Win Removal of Books3 AI Training Dataset
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Plus elles lutteront, plus elles disparaîtront vite. https://
usine-digitale.fr/article/des-ma
isons-d-edition-obtiennent-le-retrait-de-books3-une-gigantesque-base-de-donnees-utilisee-pour-entrainer-des-modeles-d-ia.N2161982
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AudioCraft: Unified Audio Modeling Solution for AI
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AudioCraft: A simple one-stop shop for audio modeling https://
bit.ly/3Kt8Bby #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Multimodal LLMs Evaluation Without Image Datasets
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I don’t think there’s a restriction wrt to multimodal LLMs though (eg using techniques like LLaMA-Adapter v2). But yeah, the evaluation datasets won’t include images.
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Positional Encoding and Attention Mechanisms in Neural Networks
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Hm good point and not sure. The positional encoding might not be required (there was a paper on that recently referred to as NoPE). Attention mechanisms I’d say are a generalization of MLPs (they could learn uniform weights if that’s useful). So I’d tend to say no.
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Transformer publication timeline close to Bahdanau attention
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Ah no! Interesting, I didn’t know it was published only 1 month after Bahdanau attention for RNNs
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What retrieval areas deserve more research focus?
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What areas of retrieval are most interesting to folks and we should push more on?
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Self-Attention Mechanisms in Transformers: From RNNs to LLMs
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What motivated self-attention mechanisms in transformer-based LLMs in the first place?
— Sebastian Raschka (@rasbt) 21 août 2023
A made a short video covering
– the limitations of RNNs
– the original (Bahdanau) attention mechanism for RNNs,
– how it all led to the original Transformer architecture used in LLMs https://t.co/oMLNlJMef6What motivated self-attention mechanisms in transformer-based LLMs in the first place? A made a short video covering
– the limitations of RNNs
– the original (Bahdanau) attention mechanism for RNNs, – how it all led to the original Transformer architecture used in LLMs -
LLM Water Consumption Crisis Overshadowed by AGI Hype
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New storm in Southern California and an earthquake. But NO WORRIES – please keep the world’s narrative focused on when AGI will arrive and how LLMs are SO important that their literally life draining usage are more important than having WATER for planet and people.
