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Embedding cost and model choice makes this a very compelling choice. I'm working on leveraging embeddings in https://github.com/discourse/discourse-ai where it powers offering related topics, semantic search, tag and category recommendations among other things.
A cheap offering like this can make it a lot more reasonable for self-hosters.
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Whisper large is only 1.5B params, why not run it client side with something like https://github.com/FL33TW00D/whisper-turbo
(Disclaimer: I am the author)
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get-beam
Discontinued Run GPU inference and training jobs on serverless infrastructure that scales with you.
Serverless only works if the cold boot is fast. For context, my company runs a serverless cloud GPU product called https://beam.cloud, which we've optimized for fast cold start. We see Whisper in production cold start in under 10s (across model sizes). A lot of our users are running semi-real time STT, and this seems to be working well for them.
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ChatGPT Voice Assistant (Open Source)
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ChatGPT refuses to create a poem admiring Donald Trump but creates a poem and admires Joe Biden. ChatGPT is built in with political biases.
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MLflow VS VevestaX - a user suggested alternative
2 projects | 12 May 2022 -
Here's a repository where I try to keep up with the most interesting research papers of 2022. It is a curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable).
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[P] Rubrix: Open-source Python framework for NLP data annotation, exploration, and monitoring