01.AI open source model from China

Why China’s Leading AI Company Is Now Open Source | MOONSHOTS - YouTube

Kai-Fu Lee is the Chairman and CEO of Sinovation Ventures, a venture capital firm he founded in 2009 that manages over $2 billion in assets and focuses on fostering the next generation of Chinese high-tech companies. In 2023, Lee launched 01.AI, a startup that built AI applications tailored for China, including Wanzhi, a productivity assistant similar to Microsoft Office 365 Copilot

Kai-Fu Lee - Wikipedia

is a Taiwanese businessman, computer scientist, investor, and writer.
He is currently based in Beijing, China.

Lee has worked as an executive, first at Apple, then SGI, Microsoft, and Google. 

he founded Sinovation Ventures, a venture capital firm

Valued at $1B, Kai-Fu Lee's LLM startup unveils open source model | TechCrunch

Open LLM Leaderboard 2 - a Hugging Face Space by open-llm-leaderboard

pgvectorscale: Timescale Postgres as AI Vector Database

 The best time-series database; built on PostgreSQL | Timescale

Timescale Vector is PostgreSQL++ for AI applications | Timescale

Timescale Cloud vs. Amazon RDS PostgreSQL: Up to 350x Faster Queries, 44 % Faster Ingest, 95 % Storage Savings for Time-Series Data

timescale/pgvectorscale: A complement to pgvector for high performance, cost efficient vector search on large workloads. @GitHub

pgvectorscale builds on pgvector with higher performance embedding search
and cost-efficient storage for AI applications.

On a benchmark dataset of 50 million Cohere embeddings with 768 dimensions each, PostgreSQL with pgvector and pgvectorscale achieves 28x lower p95 latency and 16x higher query throughput compared to Pinecone's storage optimized (s1) index for approximate nearest neighbor queries at 99% recall, all at 75% less cost when self-hosted on AWS EC2.

Building a Copilot for Git History With pgvector & Timescale