| Event Date | Discord Channel | Type |
|---|---|---|
| 13/12/2023 | ๐ apple | Internal |
Our second weekly catchup. We organize an agenda the day beforehand and consolidate our findings, notable research progress, possibly new tech, insight or technique everyone should know.
Agenda:
- Kick-off topic - Self-hosted AI model in browsers with a quick demo by Thanh Phan and Toan Ho
- Elixir cluster problem: scalability, broadcast messaging, leader election by Hieu Phan
- Compare Rust 101 vs Go with experience in running Rust classes with the team by Hieu
- Rust and understanding monadic error handling by Khac Vy
- AI trending and understanding model and runtime architectures in LLMs by Tom Nguyen
Output:
- Understand the research progress and passions of the labs team
- Understand any shortcomings or things to improve for the next weekly catchup
Notes from the catchup
๐ง Self-hosted AI model in browsers:
- @thanh expressed concerns about the usage and download size of LLMs on weak internet connections.
- @toanho is exploring WebGPU and its application for our use case, although browser support is still limited.
- Action items for next week are being planned.
โ๏ธ Elixir Cluster Problem:
- @hieuthu1 proposed one possible solution in solving Elixir clustering and scalability through using Process Groups to group and orchestrate actions between processes, enabling message broadcasting across multiple instances/pods.
- Raft consensus (leader voting) is also being considered to help orchestrate state and work.
โ๏ธ Comparing Rust 101 vs Go:
- @hieuthu1 discussed the differences in concurrency between Rust and Go, highlighting Rust's focus on functional style and managing references, borrowing, and closures.
- Rust may have a moderate barrier of entry for new learners due to the nuanced understanding required for references and borrowing.
- @hieuthu1 mentioned that a workshop/session on Rust will be organized soon.
๐ฎ Rust Game Server:
- @khacvy demoed a more interactive and flushed UI for the spaceship Rust game.
- He also mentioned the challenges he encountered, and gave a short course in running Rust
๐ก Updates on AI:
- @Tom shared information about Mixtral 8x7B AI, based on Mixture of Experts.
- Mixture of Experts is extensively used in ChatGPT, but advancements in multi-agent LLMs have led to clearer architectures for scaling multi-modal and specialized infrastructure.
