scottcondron.bsky.social
Working at wandb on Weave, helping teams ship AI applications
22 posts
284 followers
423 following
Regular Contributor
Conversation Starter
comment in response to
post
Maybe they could tell you what they’ve learned like “it seems you’re interested in staying up to date with recommender systems, want to add that to your feed?”
comment in response to
post
Thanks Scott! Very exciting
comment in response to
post
I collected some folk knowledge for RL and stuck them in my lecture slides a couple weeks back: web.mit.edu/6.7920/www/l... See Appendix B... sorry, I know, appendix of a lecture slide deck is not the best for discovery. Suggestions very welcome.
comment in response to
post
People ask for an iOS app but maybe we shouldn’t as it would cause more misery on-the-go
comment in response to
post
Would be happy to schedule a chat to hear more about your experience with W&B
comment in response to
post
hey, sorry to hear your complaints about wandb. Have you seen the big response in that issue with options? Tables is built on parquet so it’s difficult from an architectural perspective. With the recent release Weave, there may be a path forward by using the weave backend instead of parquet…
comment in response to
post
Agreed, fellow competitor.
It’s the biggest hurdle I see from teams trying to build GenAI features
We need tools to lower the barrier to entry with LLM judges, existing benchmarks, manual annotation as eval collection, synthetic data… anything else?
comment in response to
post
I think these small models are not for day to day use but instead, they’re for b2c applications of LLMs, where it’s cost/latency prohibitive to use anything else
comment in response to
post
- it really works to teach an LLM about your tool, thank you long context!
Link for the curious:
github.com/wandb/weave/...
comment in response to
post
- it's much better for scraping if the links included are .md files
- you need to be clear which files to include and which are optional because context blows up quickly
- automating creating your docs' llms.txt is pretty easy
comment in response to
post
hamel.dev/blog/posts/l...
comment in response to
post
from @hamel.bsky.social’s hamel.dev/blog/posts/llm…
We're building LLM / Human "scorers" in @weightsbiases.bsky.social to have the same data model for this reason
comment in response to
post
glif.app/@fab1an/glif...