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zekone

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Show HN: Tracking Merged PRs by OpenAI's Codex and GitHub's Copilot

github.com
6 points·by zekone·tahun lalu·2 comments

Show HN: Speech to Speech and Visual canvas for LLM interactions

twitter.com
1 points·by zekone·3 tahun yang lalu·1 comments

Show HN: Monitoring your OpenAI usage without a third party

github.com
9 points·by zekone·3 tahun yang lalu·4 comments

[untitled]

1 points·by zekone·3 tahun yang lalu·0 comments

comments

zekone
·tahun lalu·discuss
thank you sir i will fix this

or something will fix this

https://github.com/aavetis/ai-pr-watcher/issues/21
zekone
·tahun lalu·discuss
thanks for posting my project bradda
zekone
·tahun lalu·discuss
Codex UX is wonky. if it makes changes for you and you create a PR with it; then have follow interactions to further modify, it will result in a new PR for every subsequent change. it doesn't update or modify an existing PR.

Copilot does. which is maybe why its numbers are lower; but I prefer this interaction more
zekone
·3 tahun yang lalu·discuss
hi folks, would appreciate your thoughts and feedback on this kind of user experience. while ai models are increasingly becoming multi-modal, our experiences are still synchronous and via single mode.

here i offer a demo of what a combined interaction would look like with speech-to-speech and a visual canvas, mimicking how people normally give presentations or convey complex ideas.

thanks

https://twitter.com/albfresco/status/1728435103443845508
zekone
·3 tahun yang lalu·discuss
why is Azure a no-go? - it's the only other place to get an OpenAI service - you can have dedicated capacity for it if you're big enough and it's worth it - you can literally turn off public endpoint for it and make it inaccessible, and expose only through a proxy like this - you can load balance across multiple openai deployments for regional efficiency and rate limit issues

(not trying to push for Azure in general, just trying to understand why even in the OpenAI use case, Azure is a no-go)
zekone
·3 tahun yang lalu·discuss
LLM Observability tools have taken off, but they all result in you sending away your generations and chat history. That is, if you actually have users.

If you want to keep that all for yourself, I made a small script that deploys a simple monitoring solution that you control in your own resource group on Azure.

Feedback / critiques / suggestions all welcome, thanks.

https://github.com/aavetis/azure-openai-logger
zekone
·3 tahun yang lalu·discuss
onboarded and started using it in literally 2 minutes. nice