GTP-4 integration will make NPCs in video games a whole lot more interesting
GENERATIVE AI
-
DALL-E API Now Available in Public Beta
By
–
DALL·E API in action 🎬
— Lilian Weng (@lilianweng) 16 novembre 2022
Ref: https://t.co/pwg5emm17f https://t.co/FSrxbd6ok2DALL·E API in action Ref: https://
openai.com/blog/dall-e-ap
i-now-available-in-public-beta/
… -
JasperAI Partners with Cerebras for Next-Gen Model Optimization
By
–
“We are thrilled to partner with Cerebras and leverage Andromeda's performance and near-perfect scaling without traditional distributed computing and parallel programming pains to design and optimize our next set of models,” says Dave Rogenmoser, CEO of JasperAI.
-
AI Cloud Platform Converts Live Sports Action into Social Media Highlights
By
–
This week on The #AI Podcast, Amos Berkovich covers how the @WSC_Sports AI cloud platform uses #deeplearning to turn in-game action into social media-ready highlights in real time. https://
nvda.ws/3Gjf5Z9 -
Using AI-Generated Images to Enhance Machine Translation Models
By
–
Training models on “hallucinated images”, like @OpenAI’s Dall-E, to improve machine translation pic.twitter.com/TM9hvBvixr
— IBM Data, AI & Automation (@IBMData) 16 novembre 2022Training models on “hallucinated images”, like @OpenAI
’s Dall-E, to improve machine translation -
Probabilistic Generative Modeling Enhances Machine Design Efficiency
By
–
Designing machines using probabilistic generative modeling to bring more efficiency into the design process pic.twitter.com/h8BHvqfOHB
— IBM Data, AI & Automation (@IBMData) 16 novembre 2022Designing machines using probabilistic generative modeling to bring more efficiency into the design process
-
AI Models Learn Emergent Languages Through Images
By
–
Using images to teach #AI models emergent languages, making it easier to learn non-Indo-European languages 🗣️ pic.twitter.com/aaunITPKsl
— IBM Data, AI & Automation (@IBMData) 16 novembre 2022Using images to teach #AI models emergent languages, making it easier to learn non-Indo-European languages
-
Hugging Face Releases 1.3T Parameter Mixture-of-Experts Model
By
–
We’ve heard mixture-of-experts (MoE) were in the air (GPT4??) so we’ve just added the first one in the transformers library for you to play with 🙂 With for nothing less than a 1.3 trillion parameters checkpoint model on the hub! The largest model on the hub at the moment
-
Hugging Face Hub and Gradio Democratizing Machine Learning Ecosystem
By
–
Will be live in an hour to talk about @huggingface hub, Gradio and how the entire ecosystem comes together to democratise ML.
-
Self-examination in AI science models for error detection
By
–
what would be cool with science models like Galactica would be to add self examination of the inputs like the coming Codex model, where the model can inspect it’s theorem proofs or essays and spot errors