#AI industry and researchers sign statement warning of ‘extinction’ risk https://
cnn.it/3C0kqBB #ethics #FutureofWork
GENERATIVE AI
-
AI Industry Leaders Warn of Extinction Risk from Advanced Systems
By
–
-
Virtual Influencers: AI-Driven Marketing Trend Analysis
By
–
Los influencers virtuales como tendencia en Marketing #podcast #marketingdigital
-
Fine-tuning Llama-2 with Managed Autoscaling LLM Infrastructure
By
–
There are a lot of ways to #finetune LLaMa-2, but how many of these "solutions" address the #infra challenge? Check out our latest tutorial to learn how to fine-tune #Llama2 on top of fully managed, autoscaling #LLM infra right inside your VPC.
-
ChatGPT Android App Launching Next Week
By
–
ChatGPT for Android launches next week https://
bit.ly/44WWHPD
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Science fiction inspires future through AI and faith storytelling
By
–
Sci-fi is important because it inspires the future. @minafahmi
's piece in @every today is an example of the best of that ethos. It's a story about science and faith in a world governed by a superintelligent AI. You should read it: -
Modern Turing Test: Measuring AI Actions Beyond Words
By
–
Its time for a Modern Turing Test. We should be measuring was an AI can DO, in addition to what it can SAY. Thanks to @anjahuja and @ft for this thoughtful piece: https://
ft.com/content/4bb030
9b-0a68-4219-ba9d-8b3a188cf502/
… A couple of points. – The goal of the test is to draw attention to something that -
Evaluating and Debugging Generative AI Now Available
By
–
Evaluating and Debugging Generative AI, created with @weights_biases and taught by @carey_phelps, is now available!
— Andrew Ng (@AndrewYNg) 2 août 2023
ML is an iterative process, and many of us used to track our models/experiments in a text file or spreadsheet, which gets messy. There’re now much better tools… pic.twitter.com/h7RRU8sKEgEvaluating and Debugging Generative AI, created with @wandb and taught by @carey_phelps
, is now available! ML is an iterative process, and many of us used to track our models/experiments in a text file or spreadsheet, which gets messy. There’re now much better tools -
Meta Releases AudioCraft Open Source for Research Access
By
–
We're publicly releasing AudioCraft for research purposes and to further understanding of the technology. Responsible innovation can’t happen in isolation. Opening up our research and resulting models helps ensure that everyone has equal access. GitHub https://
bit.ly/3QjqOfl -
AudioCraft: Advancing Generative AI for Audio Creation
By
–
AudioCraft is an important step forward in generative AI research. We believe the simple approach we developed for audio generation will have a meaningful impact on future technologies and how we interact with them — we can’t wait to see what people create with it.
-
AudioCraft Release: Enhanced EnCodec and AudioGen Models
By
–
AudioCraft consists of three models: MusicGen, AudioGen & EnCodec. Today's release includes an improved version of EnCodec enabling higher quality music generation with fewer artifacts + pretrained AudioGen models for generating environmental sounds and effects.