Viewing profile — cheesyFish
cheesyFish
HN member- Joined
- Thu, May 30, 2024, 9:38 PM UTC
- HN karma
- 25
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- 17 items
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About cheesyFish
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Recent public activity
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Comment #47754659
I hope liteparse is working well for you! Funny enough since it doesn't parse as markdown, it can't be benchmarked with ParseBench (that tool is targeting slightly different use ca…
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Comment #44427364
yea good callout -- python workflows came first, and while we could have directly translated these, the ergonomics around classes in python are not exactly what JS/TS devs expect. …
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Comment #44055763
We used pants initially (which I believe is similar to bazel). And indeed the dependency graphing it does was very helpful, but other parts of the tool motivated us to create somet…
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Comment #44055625
Yea this definitely makes sense for smaller monorepos. For us, we ended up writing our own dependency graph parser to figure out what tests to run (which is easy enough with a sing…
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Comment #44055144
Yes! For example, previously with pants, users would hit a lot of weird errors since how tests run with pants is different than running tests locally with pytest We did not expect …
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Comment #44054580
I agree! I hope uv introduces more tools for monorepos or refines the workspaces concept. I saw workspaces require all dependencies to agree with eachother, which isn't quite possi…
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Comment #40825960
It being a queue is one part of it yes. But the key is trying to provide tight integrations and take advantage of agentic features. Stuff like the orchestrator, having an external …
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Comment #40823879
I agree on the importance of letting the user have access to state! Right now there is actually the option for human in the loop. Additionally, I'd love to expand the monitor app a…
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Comment #40823686
It's definitely tough today, but its just a matter of a) using a smart LLM b) scoping down individual agents to a manageable set of actions As more LLMs come from companies and ope…
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Comment #40823668
maybe agent micro-services is a better way to frame it ha
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Comment #40823655
Not quite. More like a framework to make LLMs/agents easier to deploy in a distributed fashion. We have a PR that shows how to deploy this with k8s!
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Comment #40822568
Hey guys, Logan here! I've been busy building this for the past three weeks with the llama-index team. While it's still early days, I really think the agents-as-a-service vision is…
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Comment #40529014
RRF is alright, but I've had better results with relative score, or distribution-based scoring. LlamaIndex has a module for exactly this https://docs.llamaindex.ai/en/stable/exampl…