Remove Open Source Remove Sport Remove Storage Remove Training
article thumbnail

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 PLM in XLNet).

article thumbnail

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 PLM in XLNet).

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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. Beyond that you’ve also overlooked that the team needs to be trained in these technologies.

article thumbnail

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!

article thumbnail

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

O'Reilly Media - Data

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. They then investigate additional data sources that they can use to augment their existing data. control over how their data is shared and used.

article thumbnail

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. In this case, a neural network is trained specifically to analyze pixel patterns that make up an object on the image. The same analysis is conducted with nutrition and sports categories. Defining keywords.

article thumbnail

Here are all 20 companies from Alchemist Accelerator’s latest Demo Day

TechCrunch

Grandeur Technologies: Pitching itself as “Firebase for IoT,” they’re building a suite of tools that lets developers focus more on the hardware and less on things like data storage or user authentication. Kanari AI: Training speech recognition models to better recognize different dialects of the same language.

Company 219