wooders

4 ms·

1.
by wooders 4mo ago
Letta Code - It’s a much more coworker-like experience because it can learn, but also performs very well for coding, and the harness can be extended like pi (disclaimer: I work on Letta Code)
2.
by wooders 10mo ago
I think the problem with ChatGPT / other RAG-based memory solutions is that it's not possible to collaborate with the agent on what it's memory should look like - so it makes sense that its much easier to just have a stateles
3.
Continual Learning in Token Space(letta.com)
3 points by wooders 10mo ago|0 comments
4.
by wooders 1y ago
FYI the LOCOMO benchmarking done by Mem0 was very sus so I wouldn't recommend relying on those numbers for anything https://www.reddit.com/r/LocalLLaMA/comments/1mon8it/woah_le... https:/&#x2F
5.
by wooders 1y ago
I think the "memory blocks" are essentially what you are describing - to have an infinite session (which systems like Letta is designed for) you have to have a mechanism for organizing the important information and persisting it f
6.
Letta Leaderboard: Benchmarking LLMs on Agentic Memory(letta.com)
1 points by wooders 1y ago|0 comments
7.
Sleep-Time Compute: Beyond Inference Scaling at Test-Time(arxiv.org)
5 points by wooders 1y ago|0 comments
8.
by wooders 1y ago
Agents are already usually deployed as an API service. You can have "agent-to-agent" communication by having agents call each others APIs. I don't understand what this protocol is for. MCP actually fills a gap since people do
9.
Show HN: Agent File (.af) – A standard file format for serializing AI agents(github.com)
5 points by wooders 1y ago|1 comments
10.
RAG is not agent memory(letta.com)
3 points by wooders 2y ago|0 comments
11.
by wooders 2y ago
Stealth AI company (based on MemGPT - memory for LLMs) | Founding Staff SWE | San Francisco | ONSITE | Full-time | $220k–$300k + Equity We’re a team of UC Berkeley PhD grads starting a company (currently in stealth) around the MemGPT projec
12.
Feature Stores: The Data Side of ML Pipelines(medium.com)
10 points by wooders 5y ago|0 comments
13.
by wooders 6y ago
Highly recommend https://www.amazon.com/Triangle-Selling-Sales-Fundamentals-G... - as an engineer and first-time founder(Glisten AI - YC W20) it gave me a great framework to approach sales calls with.
14.
by wooders 6y ago
We're a company coming out of the YC W20 batch working on the product attribution problem http://glisten.ai/ . There's too many products nowadays to be manually attributed (e.g. pattern=stripes), making it hard ret
15.
by wooders 6y ago
I don't think it's simple to deploy scaleable predictions - that's why model hosting solutions like SageMaker's and GCP's AI Platform exist, and there's no need for people to be re-implementing model deployment
16.
by wooders 7y ago
Thank you so much! I feel the exact same way and have always been so frustrated by how broken product search on online marketplaces is. Hope Allparel can help you, and let me know if you have any feedback :)
17.
by wooders 7y ago
Yes, sorry! Only having womens' clothing make the image classification a lot easier.
18.
by wooders 7y ago
Yep! Image classifiers are used to generate tags from the product image to help match products to searches. Right now there's about 30 tags that are being labelled, but in the future there'll be around a couple hundred tags being
19.
Show HN: Allparel - Fashion Search Powered by AI Generated Product Tags
29 points by wooders 7y ago|7 comments