it's times like these i feel thankful to do my science on the computer
TECHNOLOGY
-
Why Google Uses Per-1K Character Pricing Model
By
–
I’m still kind of confused as to why google sticks to this per 1k character pricing, has anyone seen a good explanation why
-
Technology drives exponential progress in labor productivity
By
–
the same amount of labor that once produced 54 minutes of quality light in the eighteenth century now produces more than fifty years of light. Technology drives progress! https://
the-coming-wave.com -
Why AI Excites Me: A Personal Perspective
By
–
Yes. One of the main reasons I’m so excited about AI.
-
Training Massive Text Embedding Model with Many Parameters
By
–
also training a massive text embedding model (many tokens AND many parameters) !
-
Google Launches Gemini API for Developers with Python Notebooks
By
–
#Gemini is finally available to developers! @Google launched new Python notebooks and sample code for Vertex AI Gemini API #GoogleCloud, including: – Getting Started in Python and cURL
– Multimodal RAG
– Function Calling
– Deploying a Streamlit app https://
github.com/GoogleCloudPla
tform/generative-ai
… -
Google Resonator: Game Interface Explores Music AI Models
By
–
Join us at the #NeurIPS2023 Google booth today at 12:45pm when Erin Drake Kajioka & Michal Todorovic will host a demo of resonator, an experimental game-based interface for exploring & discovering music through 3D visualizations of a music understanding model embedding. pic.twitter.com/D7izRwqexq
— Google AI (@GoogleAI) 13 décembre 2023Join us at the #NeurIPS2023 Google booth today at 12:45pm when Erin Drake Kajioka & Michal Todorovic will host a demo of resonator, an experimental game-based interface for exploring & discovering music through 3D visualizations of a music understanding model embedding.
-
Probabilistic Models and Text Embeddings: Learning p(e)
By
–
for sure, the probabilistic breakdown is the same: given text sequence x and its embedding e, p(x) = p(x | e) p(e). this looks a lot like a latent variable model with latent embedding e in my case p(x | e) is done by vec2text with openAI embeddings; we just need to learn p(e)
-
AI Early Detection and Support for Mental Health
By
–
Embracing AI in Mental Health: Early Detection and Support Through Advanced Technology https://
linkedin.com/pulse/embracin
g-ai-mental-health-early-detection-support-through-babin-ojxue
…
#ArtificialIntelligence #mentalhealth #health #TechForGood #innovation #technology @Shi4Tech @enilev @PawlowskiMario @JolaBurnett @baski_LA @TerenceLeungSF @3itcom -
Word2Vec: The Game-Changing Natural Language Processing Breakthrough
By
–
A super banger paper. Word2Vec has been such a game changer.