Training large language models is a very technically demanding and resource intensive task. Many such models also require lots of specialized compute to use. Fortunately, we have recently been blessed by public releases of several "small" LLMs 1/4
GENERATIVE AI
-
Life-Changing AI Technology Adoption in Japan
By
–
Been using it for so many parts of my life in Japan. Is life changing.
-
Plans for Magnific Video Feature Expected as Breakthrough
By
–
Any plans for Magnific on video? That would be the breakthrough we need
-
GPT Video Release Announcement and Excitement
By
–
GPT Video?! Holy moly https://
x.com/futuristflower
/futuristflower/status/1737101325471510611
… -
Hard Tasks Becoming Easy AI Progress and Capability Acceleration
By
–
Hard tings are becoming easy, and easy things are becoming trivial.
-
RAG Systems, LLMs, and LlamaIndex with Jerry Liu
By
–
Good morning fellow AI enthusiast! This week's iteration focuses on a new What's AI podcast episode with @jerryjliu0
, CEO and co-founder of @llama_index
! Explore RAG, LLMs, LlamaIndex, and more in this episode packed with insights for practitioners https://
open.substack.com/pub/louisbouch
ard/p/all-about-rag-systems-llms-and-multimodal?r=25qlky&utm_campaign=post&utm_medium=web&showWelcome=true
… -
AI Extinction Risks: Cult Belief or Legitimate Concern?
By
–
Thanks for the question and the opportunity to clarify. What I refer to cultist is the belief endorsed by a few that extinction from AI is so important that all other problems are negligible in comparison. I’m using a strong word because I don’t think it’s right to leave people
-
User Anticipates Testing Google’s Bard Gemini This Holiday
By
–
Looking forward to trying out Bard Gemini this holiday
-
Yi Beta Testing: Singapore Servers and Data Privacy Policy
By
–
During this beta testing phase:
1. The servers are located in Singapore.
2. Data sent to the Yi APIs will not be retained or used to train or improve Yi models. -
AI Model Learns Weird Animal Santa Hat Generalization Pattern
By
–
The animals wearing santa hats in the training data has definitely generalised weirdly.