Looking to explore these further? We dive into specific examples, and more, in our latest blog post on generative AI. Read it here: https://
txt.cohere.ai/generative-ai-
part-2/
…
RESEARCH
-
Exploring Generative AI: Practical Examples and Applications
By
–
-
Language Models Misuse for Disinformation: Risks and Mitigation
By
–
We're publishing a report, co-authored with @CSETGeorgetown and @stanfordio
, analyzing how language models could be misused for disinformation and how to mitigate those risks. -
YOLOv8 Released: Object Detection and Instance Segmentation
By
–
🔥YOLOv8 is finally here!
— Satya Mallick (@LearnOpenCV) 11 janvier 2023
Check out our video, which shows off the object detection and instance segmentation prediction results using the Ultralytics YOLOv8x model.
➡️ https://t.co/OHjVyBbUpO #yolo #yolov8 #yolov5 #objectdetection #deeplearning #ai #computervision pic.twitter.com/mjoXrJrbx3YOLOv8 is finally here!
Check out our video, which shows off the object detection and instance segmentation prediction results using the Ultralytics YOLOv8x model. https://
youtube.com/watch?v=QgF5PH
DCwHw
… #yolo #yolov8 #yolov5 #objectdetection #deeplearning #ai #computervision -
Existential Risk and AI: Beyond Rational Progress Metrics
By
–
Pinker sees the world become a better place on average due to rationality. I agree, but I do want to point out that the probablity of the human race extinguishing itself is also increasing. Can’t use frequencies to prove that, you need Bayesian probabilities.
-
Deep Learning as a Shortcut to Understanding Complex Problems
By
–
Why try to understand something when you can just throw a deep network at it?
-

AI and Data Science Closing ESG Action Gap, Reducing Emissions
By
–
Thank you @chidambara09 – Yes this news addresses closing the #ESG IntentionAction Gap head on. I believe that #DataScience & #data measurement key, as another example #AI can help reduce #greenhouse gas #emissions by up to 40% @BCG See https://
on.bcg.com/3aWhYSE #research #SDGs -

GPT-3 Parameters vs Data: Clarifying AI Model Rumors
By
–
Don’t blindly trust everything you see on internet. 175B is the number of parameters in GPT-3 and not the amount of data and GPT-4 is rumoured to have 100T parameters. Personally 100T parameters doesn’t seem feasible with the current compute capabilities.
-
Prompt Engineering Guide: Comprehensive Resource by DAIR-AI
By
–
(14/15) Prompt Engineering Guide by @omarsar0
, Semen Zhydenko, Dom Sip, @mihail_eric https://
github.com/dair-ai/Prompt
-Engineering-Guide
…