Wulab retweeted
Introducing Cambrian-S
it’s a position, a dataset, a benchmark, and a model
but above all, it represents our first steps toward exploring spatial supersensing in video. 🧶
Wulab retweeted
Microsoft researchers are introducing AutoGen, a framework for simplifying the orchestration, optimization, and automation of workflows for large language model (LLM) applications—potentially transforming and extending what LLMs can do. Learn more: bit.ly/466e8NY
Wulab retweeted
This is huge: Llama-v2 is open source, with a license that authorizes commercial use!
This is going to change the landscape of the LLM market.
Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers
Pretrained and fine-tuned models are available with 7B, 13B and 70B parameters.
Llama-2 website: ai.meta.com/llama/
Llama-2 paper: ai.meta.com/research/publica…
A number of personalities from industry and academia have endorsed our open source approach: about.fb.com/news/2023/07/ll…
Wulab retweeted
Code Interpreter Beta (rolling out to ChatGPT Plus) is quite powerful. It's your personal data analyst: can read uploaded files, execute code, generate diagrams, statistical analysis, much more. I expect it will take the community some time to fully chart its potential.
To turn on:
In ChatGPT on bottom left click on name > Settings > Beta features > turn on Code Interpreter.
I wrote a bit of a guide to ChatGPT’s Code Interpreter, which I have found to be the most useful and powerful mode of AI.
It is, like every product made by OpenAI so far, terribly named. It is less a tool for coders and more a coder who works for you. oneusefulthing.org/p/what-ai…
Verifying my account on nostr
My Public Key: "npub1fhqzqm2nwm39r2mtcdgumruzcmk55kp5djq74kuagf767csq4j5qeprvss"
Find others at nostr.directory @nostrdirectory #nostr
Wulab retweeted
📢 Excited to release Gorilla🦍 Gorilla picks from 1000s of APIs to complete user tasks, surpassing even GPT-4! LLMs need to interact with the world through APIs, and Gorilla teaches LLMs APIs. Presenting Gorilla-Spotlight demo🤩
Webpage: gorilla.cs.berkeley.edu/
Wulab retweeted
New Open-source LLMs! 🤯 The Falcon has landed! 🦅 TII just released two new open-source LLMs called Falcon, which comes into size 7B trained on 1.5T tokens and 40B trained on 1T Tokens. 🚀🔥
7B: huggingface.co/tiiuae/falcon…
40B: huggingface.co/tiiuae/falcon…
Wulab retweeted
We just released Transformers' boldest feature: Transformers Agents.
This removes the barrier of entry to machine learning
Control 100,000+ HF models by talking to Transformers and Diffusers
Fully multimodal agent: text, images, video, audio, docs...🌎
huggingface.co/docs/transfor…
ALT A diagram of a HuggingFace behaving like an agent in Matrix
Wulab retweeted
IMAGEBIND: One Embedding Space To Bind Them All.
Learns a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data.
An open source project by Meta-FAIR.
Paper: dl.fbaipublicfiles.com/image…
Demo: imagebind.metademolab.com/
Code: github.com/facebookresearch/…
Blog post: ai.facebook.com/blog/imagebi…
Wulab retweeted
🚀Introducing LLaVA Lightning: Train a lite, multimodal GPT-4 with just $40 in 3 hours! With our newly introduced datasets and the efficient design of LLaVA, you can now turbocharge your language model with image reasoning capabilities, in an incredibly affordable way.🧵
Wulab retweeted
📢 Introducing MPT: a new family of open-source commercially usable LLMs from @MosaicML. Trained on 1T tokens of text+code, MPT models match and - in many ways - surpass LLaMa-7B. This release includes 4 models: MPT-Base, Instruct, Chat, & StoryWriter (🧵)
mosaicml.com/blog/mpt-7b
ALT Introducing MPT-7B, the latest entry in our MosaicML Foundation Series. MPT-7B is a transformer trained from scratch on 1T tokens of text and code.
Wulab retweeted
The code example for Denoising Diffusion Probabilistic Models in Keras is live on the site! 🥳🥳
What's in the code example, and why should you go through it?
A thread 👇
keras.io/examples/generative…
Wulab retweeted
Very excited to share an introduction to reinforcement learning from human feedback!
In collaboration with @lvwerra and @lcastricato + @Dahoas1 from @carperai. We take you on the journey I went on this week, from 0 to PhD.
huggingface.co/blog/rlhf
Wulab retweeted
This may revolutionize data science: we introduce TabPFN, a new tabular data classification method that takes 1 second & yields SOTA performance (better than hyperparameter-optimized gradient boosting in 1h). Current limits: up to 1k data points, 100 features, 10 classes. 🧵1/6
Wulab retweeted
"A Path Towards Autonomous Machine Intelligence" - Yann LeCun's new position/vision/proposal paper: bit.ly/3u9LiLF
Wulab retweeted
Machine Learning Operations (MLOps):
Overview, Definition, and Architecture
arxiv.org/abs/2205.02302
