Cerebras builds leading AI systems and software to make large-scale AI easy and accessible to organizations. We are proud to see OpenXLA, a solution that makes frameworks easier to deploy across different hardware options, being made generally available and accessible to all.
OPEN SOURCE
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Groq Successfully Runs Meta’s LLaMA Model on Custom Hardware
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Exciting news! @GroqInc ran #LLaMA, @Meta
's latest #LLM using our kernel-less #compiler method. We downloaded the model on 2/27 and our small team had it running on Groq hardware in days after “De-NVIDIA-fying” the code. Read more in the thread + demo details coming soon. #AI #ML -
Emacs: Relevant Discussion Thread and Details
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Emacs. See relevant thread here with a few more details.
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Choosing Speech Recognition Models: Whisper and Alternatives
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3. pick a model there are a lot of options https://
huggingface.co/models?pipelin
e_tag=automatic-speech-recognition&sort=downloads
… not sure what to pick? whisper is the most popular -
Transformers Pipeline Import Script Creation Guide
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2. from transformers import pipeline create a script. import the pipeline function
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Install Transformers Library for AI Model Development
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1. pip install transformers https://
github.com/huggingface/tr
ansformers
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Transcribe Audio with Whisper using Transformers in 3 Lines
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TUTORIAL – Transcribe Audio with Whisper using Transformers! (3 lines of code)
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Great project integrating ElevenLabs speech with ChatGPT
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Great project that integrates ElevenLabs speech with ChatGPT
— AI Breakfast (@AiBreakfast) 7 mars 2023
Link: https://t.co/Urne3a43vh
GitHub: https://t.co/oSwAlzdqkZ pic.twitter.com/5EYVrV0WepGreat project that integrates ElevenLabs speech with ChatGPT Link: https://
chatwithgpt.netlify.app GitHub: https://
github.com/cogentapps/cha
t-with-gpt
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PaddlePaddle Recognized Among Top 30 Open-Source Projects
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@PaddlePaddle made it to the list of top 30 open-source projects! Glad to see them recognized. #opensource #AI
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Rapid Model Port to Hugging Face Platform
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Also thanks to people who made amazing colabs and ported it to @huggingface at such lightning speed!