I don’t want these AirPods and am down to give them away.
If you retweet and comment, I’ll give them to someone whose comment gets *zero likes.*
Nothing to promote or shill. Just for fun.
@Movistar menuda basura de router. WiFi se desconecta cada 15 min, QR o QR+ se conecta y al momento el pass es incorrecto. Introduzco manual + de lo mismo. Una vez conectado deja de tener conectividad a los 10/15 min. así no se puede trabajar. ¿Recomendación de otro servicio?
Optimist: The glass is 1/2 full
Pessimist: The glass is 1/2 empty
Engineer: The glass is twice as big as it needs to be
Excel: The glass is January 2nd
Can machine learning predict chaos? My new paper performs a large-scale comparison of modern forecasting methods on a giant dataset of 135 chaotic systems. (1/N)
https://t.co/bOD3C1qTxY
@TexasScience@OdenInstitute@UTPhysics
.@NorthropGrumman's Cygnus space freighter was released from the Canadarm2 robotic arm at 8:06am ET today ending its station cargo mission after four-and-a-half months. More... https://t.co/XUy377BAnb
4-bit quantised Mistral 7B instruct v0.2! - fasttt! 🏎️
On Mac (M2). Powered by MLX. Fully local.
Requires < 10GB RAM for 4-bits. (GPU poors, rise up)
Have to say, MLX is a solid alternative to llama.cpp
Ⓜ️ MistralAI API
We’re excited to announce the new langchain_mistralai package today which lets you use Mistral’s new hosted API in LangChain!
Mistral’s Open Source models have impressed us along with many others, and we’re excited about making it even easier to get started with their models through their platform.
Check out how to use the new ChatMistralAI class here:
https://t.co/9UoTJy6BK1
https://t.co/noAEcRgA3a
Life tip: X percent of Y is equal to Y percent of X.
So, if you want to find out what 7% of 50 is, you could instead find out what 50% of 7 is, which is 3.5. This means that 7% of 50 is also equal to 3.5.
Google's new flagship AI model, "Gemini," is set to be a direct competitor to GPT-4 and boasts computing power 5 times that of GPT-4.
Trained on Google's TPUv5 chips, it's capable of simultaneous operations with a massive 16,384 chips. The dataset used for training this model is around 65 trillion tokens, and it's multi-modal, accepting text, video, audio, and pictures. Moreover, it can produce both text and images. The training also included content from YouTube and used advanced training techniques similar to "AlphaGo-type" methods.
Google plans to release the Gemini model to the public in December 2023.
A glimpse into the future of surgery.
This robot uses high precision and dexterity to peel an egg, puncture it, and stitch it back up using computer vision.
AI x Robotics is going to completely transform the world in the coming years.