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Chronosphere raises $200M at a $1B+ valuation for cloud-native monitoring, adds granular, distributed tracing to its dashboard

TechCrunch

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. “Sitting at the intersection of the major trends transforming infrastructure software – the rise of open-source and the shift to containers – Chronosphere has quickly become a transformative player in observability.

Cloud 209
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Spark NLP 5.1: Introducing state-of-the-art OpenAI Whisper speech-to-text, OpenAI Embeddings and Completion transformers, MPNet text embeddings, ONNX support for E5 text embeddings, new multi-lingual BART Zero-Shot text classification, and much more!

John Snow Labs

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. Unified Support for All Major Cloud Storage (Azure, GCP, and S3) BART multi-lingual Zero-Shot multi-class/multi-label text classification and more! This holds true in our 5.1 setInputCol("text").setOutputCol("document")

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AI Chihuahua! Part II

d2iq

With open-source technology companies can actually get the best of everything. Open-source software is free to use, but teams have to invest quite a bit in selecting, introducing, using, and maintaining these technologies. So, why not roll your own platform based on top-notch technologies?

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Spark NLP 5.1: Introducing state-of-the-art OpenAI Whisper speech-to-text, OpenAI Embeddings and Completion transformers, MPNet text embeddings, ONNX support for E5 text embeddings, new multi-lingual BART Zero-Shot text classification, and much more!

John Snow Labs

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. Unified Support for All Major Cloud Storage (Azure, GCP, and S3) BART multi-lingual Zero-Shot multi-class/multi-label text classification and more! This holds true in our 5.1 setInputCol("text").setOutputCol("document")

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You can no longer afford time amnesia in your software systems.

The Agile Monkey

Why making the extra investment on development time and data storage? The event stream is akin to a live sports broadcast, which can be paused to view specific details in a scene, replayed to analyze interesting moments from the past, or monitored in real-time to observe the most current data. Get in touch with us!

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Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

I list a few examples from the media industry, but there are are numerous new startups that collect aerial imagery, weather data, in-game sports data , and logistics data, among other things. In light of recent headlines ( Facebook and Cambridge Analytica ), the general public is much more aware of data collection, storage, and sharing.

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Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

Altexsoft

As today’s digital storages can serve large amounts of items, it becomes difficult to categorize them manually. Let’s say we analyzed a set of 50 articles about health and saw that all of them relate to 3 categories: psychology, nutrition, and sports. The same analysis is conducted with nutrition and sports categories.