Rami's Readings #62 - đ˘ 01.ai & DeepSeek Release New Models
Welcome to Ramiâs Readings #62 - a weekly digest of interesting articles, papers, videos, and X threads from my various sources across the Internet. Expect a list of reads covering AI, technology, business, culture, fashion, travel, and more. Learn about what I do at ramisayar.com/about.
Thank you to all my wonderful subscribers for your warm messages of congratulations, thoughtful ideas, and collaboration offers. I am genuinely excited to explore the fantastic projects youâve proposed!
đ¤ AI Reads
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Notes: DeepSeek launched a MoE model. I havenât had a time to try it, but I was using DeepSeekâs code generative model as my default for a while on my M1 due to excellent inference speed. #China #AI
Updated Yi-1.5 LLM Released as an Apache 2.0-Licensed Model
Notes: A good update to the Yi LLMs from 01.ai (Kai-Fu Leeâs startup). Again, another good Chinese model. Yi-1.5 34B almost matches Metaâs Llama 3 70B, while being half the size.
xLSTM: Extended Long Short-Term Memory and Kolmogorov-Arnold Networks
Notes: Very interesting architectures for LLMs if they can scale on hardware (other than Transformers and State Space Models). Kolmogorov-Arnold Networks was heavily discussed on the Twittersphere last week.
Every LLM Company Is a Search Company, and Search Is Hard: The Future of LLM Retrieval Systems
Notes: I agree. Search is hard. đ
Musings on Building a Generative AI Product
Notes: From LinkedIn, I highly recommend reading this short article on GenAI products in practice.
Automatic evaluation is the holy grail, but still a work in progress.
Introducing ChatQA-1.5: Surpassing GPT-4 on Conversational QA and RAG
Notes: From Nvidia. Always interesting to explore.
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Notes: Good survey for those interested in fine-tuned LLMs.
How AI apps make money đ Hi, itâs Kyle Poyar and welcome to Growth Unhinged, my weekly newsletter exploring the hidden playbooks behind the fastest-growing startups. My most popular post this year is a deep dive into the state of SaaS pricing. As SaaS increasingly morphs into Al-infused applications, whatâs the state of AI pricing⌠Kyle Poyarâs Growth Unhinged ¡ 2 years ago ¡ 91 likes ¡ 14 comments ¡ Kyle Poyar and Palle Broe How AI apps make money
đź Business Reads
How a Ballooning Public Sector Is Reshaping Canadaâs Economy
Notes: This article is paywalled. Public sector employment as a share of total employment is above 21.5% in Canada and growing (a significantly larger share than the US or Italy). The growth rate between public and private sector employment is also widening quickly, further evidence of a weakening private sector.
âSeriously Underwaterâ Home Mortgages Tick Up Across the US
Notes: Not good. Seriously, itâs not good. Underwater home mortgages limit ownersâ mobility to better-paying jobs and locations.
Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models
Notes: Several years old, but still a fun read.
One Out of Every 24 New York City Residents Is Now a Millionaire
Notes: NYC, Bay Area (SF + Silicon Valley), Singapore, LA, Beijing up >40%. Unrelated: I miss NYC. Are you going to NYC Tech Week?

That is all for this week. Signing off from Redmond.