Really interesting insights in the Machine Learning Ecosystem this week: Salesforce on Red Teaming AI/LLMs, NannyML on ML Monitoring Metrics, Microsoft/The University of Edinburgh/University of Geneva on Building Virtual Worlds with ML + more 🚀 Check out the deep dives and resources in this week's edition! For anyone looking for exciting ways to develop your ML Engineering skills in 2024, you can join 60,000+ ML practitioners & enthusiasts for weekly news, tutorials articles and MLOps events 📅 + more 🚀 Newsletter: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata
Info
The Institute for Ethical AI & Machine Learning is a research centre based in the UK. We carry out highly technical research to answer some of the most challenging questions present in the intersection between Machine Learning and industry.
- Website
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http://ethical.institute
Externer Link zu The Institute for Ethical AI & Machine Learning
- Branche
- Softwareentwicklung
- Größe
- 2–10 Beschäftigte
- Hauptsitz
- Berlin
- Art
- Privatunternehmen
- Gegründet
- 2018
- Spezialgebiete
- Ethics, Machine Learning, Artificial Intelligence, AI, ML, DevOps, Strategy, Industry und Innovation
Orte
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Primär
Berlin, DE
Beschäftigte von The Institute for Ethical AI & Machine Learning
Updates
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The Institute for Ethical AI & Machine Learning hat dies direkt geteilt
Really interesting insights in the Machine Learning Ecosystem this week: Salesforce on Red Teaming AI/LLMs, NannyML on ML Monitoring Metrics, Microsoft/The University of Edinburgh/University of Geneva on Building Virtual Worlds with ML + more 🚀 Check out the deep dives and resources in this week's edition! For anyone looking for exciting ways to develop your ML Engineering skills in 2024, you can join 60,000+ ML practitioners & enthusiasts for weekly news, tutorials articles and MLOps events 📅 + more 🚀 #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata
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The Institute for Ethical AI & Machine Learning hat dies direkt geteilt
A breakthrough for model monitoring! Wojtek Kuberski and Santiago Viquez are open-sourcing 𝗧𝗵𝗲 𝗟𝗶𝘁𝘁𝗹𝗲 𝗕𝗼𝗼𝗸 𝗼𝗳 𝗠𝗟 𝗠𝗲𝘁𝗿𝗶𝗰𝘀. The handbook every data scientist has been waiting for. Everyone will have free access to the digital version. And anyone can review, contribute to it. It's s printed to order, so you'll always have the latest version 🙌🏽 The above approach lets the community collaborate with the super experts. This is the most exciting open-source data science project I’ve seen in a while! 𝗧𝗵𝗲 𝗯𝗼𝗼𝗸 𝘄𝗶𝗹𝗹 𝗰𝗼𝗻𝘁𝗮𝗶𝗻 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 𝗳𝗼𝗿 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗰𝗼𝗻𝘁𝗲𝘅𝘁𝘀 - Regression - Classification - Clustering - Ranking - Computer vision - NLP - GenAI - Probabilistic - Bias and fairness - Business This is all powered by the team at NannyML. And the cool thing is: reviewers and contributors can receive revenue sharing through affiliate links. Link to the book repo below. Learn, enjoy, and give it a star! ⭐ #datascience #machinelearning #statistics
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The Institute for Ethical AI & Machine Learning hat dies direkt geteilt
A recent research paper from Zalando presenting a framework to leverage multimodal large language models to efficiently evaluate large-scale product retrieval systems by automating the relevance assessment of query-product pairs using both textual and visual product information. This is quite an interesting approach to reduce the time and cost associated with human annotations whilst keeping quality. This research initiative evaluates on datasets with 20,000 query-product pairs in English and German showing that MLLM-generated annotations align closely with human judgments, making it suitable for continuous, scalable, and multilingual evaluations in production environments, such as e-commerce search engines. Paper: https://lnkd.in/e5pKhn9v -- If you liked this article you can join 60,000+ practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata
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A recent research paper from Zalando presenting a framework to leverage multimodal large language models to efficiently evaluate large-scale product retrieval systems by automating the relevance assessment of query-product pairs using both textual and visual product information. This is quite an interesting approach to reduce the time and cost associated with human annotations whilst keeping quality. This research initiative evaluates on datasets with 20,000 query-product pairs in English and German showing that MLLM-generated annotations align closely with human judgments, making it suitable for continuous, scalable, and multilingual evaluations in production environments, such as e-commerce search engines. Paper: https://lnkd.in/e-2FQ8jV -- If you liked this article you can join 60,000+ practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata
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The Institute for Ethical AI & Machine Learning hat dies direkt geteilt
Google's introduced an Audio Overview feature to their NotebookML product which has been used to generate custom podcasts from any content provided - people have been using instruction manuals, personal notes, newsletters and anything they get their hands on. This is quite an interesting use-case of Google Gemini integrated into a Google experimental product to generate audio content for what promises to be quite a lot of high potential user-level applications. Deep dive: https://lnkd.in/ee9vMGMV -- If you liked this article you can join 60,000+ practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata
NotebookLM’s automatically generated podcasts are surprisingly effective
simonwillison.net
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Google's introduced an Audio Overview feature to their NotebookML product which has been used to generate custom podcasts from any content provided - people have been using instruction manuals, personal notes, newsletters and anything they get their hands on. This is quite an interesting use-case of Google Gemini integrated into a Google experimental product to generate audio content for what promises to be quite a lot of high potential user-level applications. Deep dive: https://lnkd.in/gu69yydt -- If you liked this article you can join 60,000+ practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata
NotebookLM’s automatically generated podcasts are surprisingly effective
simonwillison.net
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The Institute for Ethical AI & Machine Learning hat dies direkt geteilt
Over 50% do not have any Machine Learning monitoring; important insights from 2024 Survey on The State of Production ML: We have designed the questions to provide meaningful insights on the current landscape of production ML in 2024 - if you have a chance we would be grateful if you could spend a few minutes on the survey, as you'll contribute valuable information about the machine learning tools and platforms you use in your production ML development. Your input will help create a comprehensive overview of common practices, tooling preferences, and challenges faced when deploying models to production, ultimately benefiting the entire ML community 🚀 We are also working on an interactive visualisation for everyone to be able to slice and dice across the data to derive meaningful insights on the production ML ecosystem! You can have a sneak peek on the survey results here: https://lnkd.in/eHk98iC2 -- If you liked this article you can join 60,000+ practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata
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The Institute for Ethical AI & Machine Learning hat dies direkt geteilt
A deep dive into ngrok's journey building their internal data platform with a small engineering team: An interesting case study building an internal data platform with lessons integrating data engineering into their broader software development practices, focusing on open-source tools and collaborative workflows within a Go monorepo. Ngrok transitioned from AWS services to a Kubernetes-based stack using tools like Dagster, Airbyte, Apache Flink, and dbt with a lot of interesting lessons learned along the way. Deep dive: https://lnkd.in/eKBcsist -- If you liked this article you can join 60,000+ practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA
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A deep dive into ngrok's journey building their internal data platform with a small engineering team: An interesting case study building an internal data platform with lessons integrating data engineering into their broader software development practices, focusing on open-source tools and collaborative workflows within a Go monorepo. Ngrok transitioned from AWS services to a Kubernetes-based stack using tools like Dagster, Airbyte, Apache Flink, and dbt with a lot of interesting lessons learned along the way. Deep dive: https://lnkd.in/d9dFzAc2 -- If you liked this article you can join 60,000+ practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata