za_mike157

7 ms·

31.
by za_mike157 2y ago
Im glad! Keep pushing!
32.
by za_mike157 2y ago
Can you please elaborate on what you would like help with? I linked all the code in the post so you can experiment with it yourself and even extend it. Also we are making use of the Pipecat framework ( https://github.com/pipe
33.
by za_mike157 2y ago
This is a good suggestion! I will at it to the list of things that the community can do to extend
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by za_mike157 2y ago
We partnered with them and so its locally running their STT model on the container. You will see in the code we have a image reference which includes the Deepgram model
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by za_mike157 2y ago
Awesome! Let me know if you figure it out! Yeah I got lazy with the "continue with lecture part" by doing fuzzy matching on the text. If you have an accent or its noisy its not that great. The more robust way to do it would be fun
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by za_mike157 2y ago
Sorry it was indeed receiving the hug of death - but it should be alleviated now
37.
by za_mike157 2y ago
Sorry its getting smashed right now - increasing capacity
38.
by za_mike157 2y ago
Thats a interesting thought. We could get it to periodically ask a question(s) once a concept has been explained in the demo. There have actually been a few studies that students learn best via discussions
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by za_mike157 2y ago
you are 100% correct! Here we just check if there is a pause of 200ms (you can change that in the code). I haven't seen any models that can detect if the user has finish speaking base on the question or social cues. You also don't
40.
Show HN: A personalised AI tutor with < 1s voice responses(educationbot.cerebrium.ai)
72 points by za_mike157 2y ago|24 comments
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by za_mike157 2y ago
Hey! From the Cerebrium team here! So our costs are based on the infra you use to run your application and we charge per millisecond of compute. Some things to note that we might do differently to other providers: 1. You can specify your EX
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by za_mike157 2y ago
Hi Vessenes From Cerebrium here. Really appreciate the feedback - glad you had a good experience! This application is easy to extend/implement meaning you can edit it to however you like: - Swap in different LLM's, STT and TTS mod
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Scaling your ComfyUI workflow behind a API endpoint(cerebrium.ai)
1 points by za_mike157 3y ago|0 comments
44.
1M tokens for $0.5 on Llama 2 70B-Cheaper than OpenAI GPT3.5-turbo by 3x(cerebrium.ai)
9 points by za_mike157 3y ago|0 comments
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by za_mike157 3y ago
You can fine-tune Llama 2 7B/13B/70B on Cerebrium ( https://www.cerebrium.ai ). Disclosure: I am the founder. We allow you to change all the hyper parameters such as num_epochs, learning_rate, tokenizer etc and even can
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Cerebrium (YC W22) Is Hiring – ML Engineer(ycombinator.com)
1 points by za_mike157 4y ago
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How to monitor the performance of a fine-tuned GPT-Neo Model in Production(blog.cerebrium.ai)
2 points by za_mike157 4y ago|0 comments
48.
Learn how to deploy and End-to-end ML Model by building it(hippocampus.cerebrium.ai)
1 points by za_mike157 4y ago|0 comments