Implementing #MLOps in the Enterprise — A Production-First Approach: https://
amzn.to/3U3JrWy
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#MachineLearning #DeepLearning #ML #AI #BigData #Analytics #DataAnalytics #DataScience #EnterpriseAI #AIStrategy #DataScientists #CDO #DataEngineering #CTO #DigitalTransformation
MACHINE LEARNING
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Implementing MLOps in Enterprise with Production-First Approach
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AI Playbook Released: New bizML Methodology for Machine Learning Deployments
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𝒩𝐸𝒲RELEASE: http://
amzn.to/46O41Nw by @predictanalytic The #AI Playbook offers invaluable insights & practical steps for successful #MachineLearning deployments, proposing 'bizML' as a more current, pertinent, & compelling industry-standard #ML methodology than CRISP-DM. -
Women in ML Ops: Architects of AI Leadership Event
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Mark your calendars and register for Architects of AI: Women in ML Ops on March 7 at 1:00 pm EDT as we shine a spotlight on women’s impact and leadership! Cohere is proud to acknowledge and honor the incredible achievements of women across the globe and in ML. Register now.
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Essential Steps for AI Projects: A Complete Guide for Consultants
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Great article for #AIConsultants outlining the steps for #AI projects: Understand the Problem Data Collection & Prep Model Building Testing & Validation Deployment Monitoring & Maintenance
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Appreciation for Ericsson’s Quick Implementation of New Technologies
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Thank you, Diana! I enjoyed it too. It’s always impressive to see how @EricssonSoftw is quickly implementing new technologies. #MWC24 #AI #5G #IoT #MachineLearning #Automation
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PyTorch Labs GPT-Fast Repository Link Shared
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Repo: https://
github.com/pytorch-labs/g
pt-fast
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PyTorch Releases GPT-Fast for Efficient Text Generation
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Pytorch released GPT-fast!⚡️
— Sumanth (@Sumanth_077) 5 mars 2024
This is a simple and efficient implementation of pytorch-native transformer text generation:
Here are some key features:
– Very low latency
– <1000 lines of python
– No dependencies other than PyTorch and sentencepiece
– int8/int4 quantization
-… pic.twitter.com/chk4ms5nf6Pytorch released GPT-fast! This is a simple and efficient implementation of pytorch-native transformer text generation: Here are some key features: – Very low latency
– <1000 lines of python
– No dependencies other than PyTorch and sentencepiece
– int8/int4 quantization
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Exploring Ultralytics Explorer API for Computer Vision Applications
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🚀 Blog-tastic Tuesdays 🚀https://t.co/Fw7qlUCixR
— Satya Mallick (@LearnOpenCV) 5 mars 2024
🔍 Excited to delve into the world of computer vision with the Ultralytics Explorer API! Join us as we explore its functionalities and real-world applications on a custom wildlife dataset. #ComputerVision #Ultralytics… pic.twitter.com/3BEgtNkHaIBlog-tastic Tuesdays https://
learnopencv.com/ultralytics-ex
plorer-api/
… Excited to delve into the world of computer vision with the Ultralytics Explorer API! Join us as we explore its functionalities and real-world applications on a custom wildlife dataset. #ComputerVision #Ultralytics -
Abacus AI Launches Affordable LLM Fine-Tunes API Matching GPT-4
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@AbacusAI introduces "LLM Fine-Tunes" inference API = Unlocks the power of affordable, Open-Source #LLMs — matches #GPT4 performance and is 20X cheaper! Start here: https://
abacus.ai/llmapi
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AI Crowds Match Human Forecasters in Predicting Future Events
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Two key things in this paper:
1) The finding: “Crowds” of AIs match or exceed crowds of human forecasters in their ability to predict future events
2) The context: @PTetlock & co-authors are experts on forecasting. More social scientists should experiment with LLMs in their field