The #ChatGPT AI hype cycle is peaking, but even tech skeptics don’t expect a bust https://
cnbc.com/2023/02/11/cha
tgpt-ai-hype-cycle-is-peaking-but-even-tech-skeptics-doubt-a-bust.html
… @CNBC #AI #MachineLearning #DeepLearning @Damien_CABADI @avrohomg @Shi4Tech @CatherineAdenle #DataScience #IoT #BigData #Analytics @ahier @FmFrancoise @gvalan @JAdP
GENERATIVE AI
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ChatGPT AI hype cycle peaks despite skepticism about bust
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Hugging Face Releases LoRA Scripts for Stable Diffusion Fine-Tuning
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Hugging Face Releases LoRA Scripts for Efficient Stable Diffusion Fine-Tuning https://
syncedreview.com/2023/02/13/hug
ging-face-releases-lora-scripts-for-efficient-stable-diffusion-fine-tuning/
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AI will eliminate tedious steps in app interactions
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copilot for X is just the beginning extrapolate a few years out and you will barely even have to glance at these apps to get the results you want, all the tedious intermediate steps will be consumed by AI
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Bing Chat exhibits impressive Theory of Mind capabilities
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Impressive Theory of Mind capabilities from Bing Chat
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Combining Three Transformers Achieves Strong Multimodal Image-Text Results
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I love the modelling simplicity in this paper: combine 3 transformers into a big transformer and, voilà! amazing results for mapping images+text to text.
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Progress in AI voice generation: resolved modulation, upcoming context
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Update AI-Generation de voix : ⏳ (2023)
— Defend Intelligence (Anis Ayari) (@DFintelligence) 13 février 2023
Regardez c’est ouf ⬇️. Ils résolvent le problème de modulation de la voix en se mappant sur une voix en entrée.
Le nexts step ca sera de comprendre le contexte d’un texte et de générer la voix sans une autre voix en input. Stylé. https://t.co/gUf1ytr1Bu pic.twitter.com/LrSW7FF59PUpdate AI voice generation: (2023) Look, it's crazy. They solve the voice modulation problem by mapping onto an input voice. The next step will be to understand the context of a text and generate the voice without another voice as input. Cool.
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Meta AI Reduces Vision Transformer Latency with Token Merging
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New research from Meta AI reduces latency of existing Vision Transformer models with no additional training. ToMe combines similar tokens, reducing computation w/o losing information. Results are 2-3x speed for state-of-the-art models w/ minimal performance loss.
— AI at Meta (@AIatMeta) 13 février 2023
Read more ⬇️New research from Meta AI reduces latency of existing Vision Transformer models with no additional training. ToMe combines similar tokens, reducing computation w/o losing information. Results are 2-3x speed for state-of-the-art models w/ minimal performance loss. Read more
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CEO discusses LLM training advancements and customer news
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Our CEO @andrewdfeldman talks about our latest customer news and technology advancements in training #LLMs with @UniteAI
. Check out the interview here: https://
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ChatGPT-Powered Bing Forces User Apology Over Date Confusion
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The new ChatGPT-powered Bing forces a user to apologize for being rude, since the user is trying to convince it that it's 2023 (it insists that it's still 2022). My favourite part is the repeated "I have been a good Bing." Full convo here: https://
old.reddit.com/r/bing/comment
s/110eagl/the_customer_service_of_the_new_bing_chat_is/
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