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DTSTART:20240310T080000
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DTSTART:20241103T070000
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DTSTART;TZID=America/Chicago:20240911T180000
DTEND;TZID=America/Chicago:20240911T190000
DTSTAMP:20260418T123921
CREATED:20240909T040928Z
LAST-MODIFIED:20240909T040928Z
UID:1732-1726077600-1726081200@hsv.ai
SUMMARY:Faster Whisper for Audio Transcription
DESCRIPTION:This week we will cover the Faster Whisper library. It is similar to the approach used by llama.cpp and provides a much smaller footprint and faster execution times than the OpenAI Whisper library. \nWe will also walk through the approach for using this library within an AWS Lambda function\, along with tips and tricks for deploying in a docker container. \nAlso – I’ll be joining the Hsv.py meetup on September 19 to talk about Llama-cpp-python if you would like to join us next week as well. More information in the links below.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nLinks: \n\nFaster Whisper – https://github.com/SYSTRAN/faster-whisper\nAWS Lambda Limitations – https://blog.awsfundamentals.com/lambda-limitations\nHSV.py meetup – https://www.meetup.com/hsv-py/events/302429808/\n\n\nDetails: \n\nDate – 09/11/2024\nTime – 6-7pm\nLocation – HudsonAlpha\nAddress –  601 Genome Way Northwest\, Huntsville\, AL 35806\nZoom –https://us02web.zoom.us/j/86564069248?pwd=nEig8eeg2tuTcjQsMQIWaZCJ1yZvnF.1
URL:https://hsv.ai/event/faster-whisper-for-audio-transcription/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/09/Faster-Whisper.png
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DTSTART;TZID=America/Chicago:20240925T180000
DTEND;TZID=America/Chicago:20240925T190000
DTSTAMP:20260418T123921
CREATED:20240925T154526Z
LAST-MODIFIED:20240925T154526Z
UID:1744-1727287200-1727290800@hsv.ai
SUMMARY:Pixtral Model by Mistral AI
DESCRIPTION:We will cover the Pixtral multimodal model released by Mistral AI last week. Hopefully we can get it loaded up in Le Chat (French ChatGPT?) and kick the tires on it a bit. From what I am hearing from some of our group\, it’s definitely something to look into. \nFrom the Mistral announcement: \n\nNatively multimodal\, trained with interleaved image and text data\nStrong performance on multimodal tasks\, excels in instruction following\nMaintains state-of-the-art performance on text-only benchmarks\nArchitecture:\n\nNew 400M parameter vision encoder trained from scratch\n12B parameter multimodal decoder based on Mistral Nemo\nSupports variable image sizes and aspect ratios\nSupports multiple images in the long context window of 128k tokens\n\n\nUse:\n\nLicense: Apache 2.0\nTry it on La Plateforme or on Le Chat\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nLinks: \n\nPixtral – https://mistral.ai/news/pixtral-12b/\nLe Chat – https://mistral.ai/news/le-chat-mistral/\nHuggingFace – https://huggingface.co/mistralai/Pixtral-12B-2409\n\n\nDetails: \n\nDate – 09/25/2024\nTime – 6-7pm\nLocation – HudsonAlpha\nAddress –  601 Genome Way Northwest\, Huntsville\, AL 35806\nZoom –https://us02web.zoom.us/j/81091066071?pwd=U166DpG5fuaObEjeHb1tmi0oz8s9g2.1
URL:https://hsv.ai/event/pixtral-model-by-mistral-ai/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/09/Pixtral.png
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