#GPT4 is here, and it's revolutionising the way we communicate! Dive into my latest article to explore the power of #AI and how it's redefining the future of communication. Don't miss out on this game-changing tech breakthrough! https://
bernardmarr.com/gpt-4-is-here-
unleashing-the-power-of-multimodal-ai-and-redefining-the-future-of-communication/
… #TechTrends #ChatGPT
LLMS
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GPT-4 Revolutionizes Communication Through Multimodal AI
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English Models Overrated: Low-Resource Languages More Valuable
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I think we have had enough of English models. I'm not impressed by English models anymore. The amount of data available for English language is hugeee!!! IMO models trained for low resource languages are more useful. Not everyone in the world speaks/understands English.
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Unified AI Platform: Text-to-Voice and Voice-to-Text Integration
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I'd like to see "Text To Voice (Audio AI); Voice To Text (Transcriptions)" all in one. #GPT5 #AI #tech #WomenInSTEM
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Moving to GPT-4 soon for extension, currently using ChatGPT
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Not exactly yet, we still use chatGPT for the extension. But we expect to move to GPT-4 soon.
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GPT-4 API Access Limited to Fine-tuned ChatGPT Plus Model
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True, but correct me if I'm wrong, it appears that for GPT-4 the base model without the fine-tuning will not be available so what you see in ChatGPT plus rn is what you'll get through the api
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Google PaLM API Preview Released for Developers
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Take a sneak peak at what the PaLM API looks like https://
t.co/fru1rungcx -
GPT-4 Misuse Mitigations: Critical Safety Work Behind the Scenes
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Very easy to miss the amount of work (and why it’s so important) our team put into mitigations of GPT-4 misuses:
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Sparsity Accelerates GPT Training While Preserving Model Accuracy
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Sparsity can improve your model's training performance! Our research shows the promise of high sparsity on large-scale GPT models, providing training acceleration at a fraction of the FLOPs while preserving downstream accuracy. Learn more here –
https://
cerebras.net/blog/accelerat
ing-large-gpt-training-with-sparse-pre-training-and-dense-fine-tuning/?utm_content=241655076&utm_medium=social&utm_source=twitter&hss_channel=tw-751545566778171392
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Doubts About GPT-4 Parameter Count and Architecture Changes
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Tweets like this are why I’m not totally convinced that GPT-4 is over a trillion parameters. I mean, maybe it is. Maybe it’s several trillion. But it also might be closer to 175B because of architecture changes.
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Google announces PaLM LLM APIs in private preview
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A bit of a peek into the PaLM LLM APIs we announced yesterday (currently in private preview with a few customers/users to get feedback: we'll broaden access in the coming weeks) https://
x.com/dalequark/stat
/dalequark/status/1636126873619951616
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