TheSequence

Jesus Rodriguez, Ksenia Semenova

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Created 08 Jun 2020

@thesequenceai

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🎙 Rinat Gareev/Provectus About Data Quality and Enterprise ML Solutions
22 Oct 2021 • about 22 hours ago • 6 min read • 28 0
It’s inspiring to learn from practitioners. Getting to know the experience gained by researchers, engineers, and entrepreneurs doing real ML work is an excellent source of insight and inspiration. Sha...
🔵🔴 Edge#134: Run:AI's 2021 AI Infrastructure Survey
21 Oct 2021 • 3 min read • 25 0
More interesting content formats in TheSequence! Today we’d like to share the results of the 2021 AI Infrastructure Survey performed by our partner Run:AI 🧲 Insights: Run:AI's 2021 AI Infrastructure ...
📝 Guest post: 7 key considerations to develop a scalable annotation pipeline
20 Oct 2021 • 7 min read • 15 0
In TheSequence Guest Post our partners explain in detail what machine learning (ML) challenges they help deal with. In this post, SuperAnnotate’s team unveils how to develop a scalable annotation pipe...
🗣 Edge#133: Self-Supervised Learning for Speech
19 Oct 2021 • < 1 min read • 4 0
In this issue: we discuss Self-Supervised Learning for Speech; we explore AVID, an SSL model for audio-visual tasks; we overview s3prl, an open-source framework for SSL speech models. 💡 ML Concept of...
🗣🏎 The Race for Big Language Models Continues
17 Oct 2021 • 3 min read • 9 0
📝 Editorial Massively large pretrained models have become the norm in natural language processing (NLP). It seems that every other month, we achieve a new milestone in terms of the size of language m...
🟠🟣 Edge#132: WhyLabs, AI Observability as a Service
14 Oct 2021 • 5 min read • 31 0
This is an example of TheSequence Edge, a Premium newsletter that our subscribers receive every Tuesday and Thursday. On Thursdays, we do deep dives into one of the freshest research papers or technol...
🎙 Paroma Varma/Snorkel on programmatic approaches to data labeling
13 Oct 2021 • 4 min read • 34 0
Getting to know the experience gained by researchers, engineers, and entrepreneurs doing real ML work is an excellent source of insight and inspiration. Share this interview if you find it enriching. ...
✍🏽 Edge#131: Self-Supervised Learning for Language
12 Oct 2021 • < 1 min read • 4 0
In this issue: we discuss Self-Supervised Learning for Language; we explore XLM-R, one of the most powerful SSL cross-lingual models ever built; we cover Facebook’s fastText, a library for representat...
🧠🧠🧠 The Thousand Brains Theory, A New AI Book You Must Read
10 Oct 2021 • 3 min read • 33 0
📝 Editorial Jeff Hawkins is one of my AI heroes. His book On Intelligence, is one of the clearest, most insightful works about the deep relationship between neuroscience and artificial intelligence(A...
📝 Guest post: Data Aggregation is Unavoidable! (And Other Big Data Lies)
08 Oct 2021 • 2 min read • 27 0
In TheSequence, we like to experiment with different formats, and today we introduce TheSequence Guest Post. Here we give space to our partners to explain in detail what machine learning (ML) challeng...
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