Three power forces ushered in the Age of Modern AI about a decade ago: A family of algorithms called Neural Network; Fast, specialized hardware called GPUs; Big data, like the collection of 15 million photos my lab spent years curating called ImageNet. 2/
MACHINE LEARNING
-
Nous Research merges Hermes 2 Pro and LLaMA 3 with better performance
By
–
Holy shit @NousResearch merged Hermes 2 Pro + LLaMA 3, and it performs even better than either model on their own
-
Breakthroughs in AI Don’t Come Easy or Fast
By
–
That's a lot, man. Breakthroughs aren't churned out like churros
-
Technical configuration of LLM canary versions
By
–
Current canary is 126 already but nothing comes by default
-
African Machine Learning Community Celebrates Annual Impact Report
By
–
Our annual report is a celebration of the work in Strengthening African Machine Learning . So much effort goes into seeing the Indaba communities thrive each year and this report is as always a testament to the hours of dedication by volunteers and the support from donors.
-
Improving AI Benchmarks: TIGER-Lab’s Enhanced MMLU Evaluation
By
–
We need to improve our benchmarks the same way we improve our models. Super interesting work from TIGER-Lab with an upgraded version of MMLU with 12k complex questions (vs. 16k for MMLU) and additional reasoning problems. – It is more discriminative among frontier models (see
-
Major AI Breakthroughs: RT-2, SIMA, GNoME, and AlphaFold3
By
–
Together with other cool works such as RT-2, SIMA, GNoME, and certainly AlphaFold3! https://t.co/Hgn6NVJMDC
— Thang Luong (@lmthang) 15 mai 2024Together with other cool works such as RT-2, SIMA, GNoME, and certainly AlphaFold3!
-
Going Deeper with Inception Model Architecture
By
–
We must go deeper. Hopefully using an Inception model!
-
Double LLM Inference Speed with Medusa Speculative Decoding
By
–
Learn how to 2x LLM inference speeds with speculative decoding! We're introducing Medusa in our next release so you can accelerate inference by fine-tune open-source LLMs, whether or not you have labeled data. Join us on May 23rd at 10am PT! https://
pbase.ai/4ajjIxR