#mplstechnology search results

[ 🇫🇷 FRANCE ] 🔸Naval Group confirme que le MPLS est « prêt au tir ». Cette tourelle bi-axe compacte dispose de 4 modules interchangeables et peut tirer des munitions 68/70 mm (FZ275), Mistral 3, LMM ou Akeron MP, pour neutraliser drones, USV et vedettes rapides. Les essais à…

MLOps project update: (Merging Agentic AI and Classic ML 🤩) I resumed my end-to-end MLOps project after a busy period of freelance and office work. What I did: - End-to-end ML pipeline - Experiment tracking and model versioning - Serving the model as an API endpoint - Transfer…

Machine Learning is about creating pattern-finding machines. MLOps is about putting these machines to work.

We’re thrilled to announce two online LLMs we’ve trained: pplx-7b-online and pplx-70b-online! Built on top of open-source LLMs and fine-tuned to use knowledge from the internet. They are now available via Labs and in a first-of-its-kind live-LLM API. pplx.ai/online-llms

Welcome to the PAALmily! 🤝 @MLProtocol Thrilled to have equipped you with a custom PaalBot that simplifies your protocol's complexities and fosters 24/7 engagement! Money Laundering Protocol (MLP) is an innovative aggregator of crypto mixers, focused on ensuring optimal…

We're excited to announce the beta of pplx-api, our LLM API that provides the fastest way to access Mistral and LLaMa models for your projects. Blog: pplx.ai/introducing-pp… Subscribe to our Pro plan to generate an API key and try it out for your projects! Support for custom…

Introducing pplx-api, our LLM API which serves Mistral and Llama2 models with blazing speed and throughput. pplx-api is in public beta for our Pro subscribers! We partnered with @nvidia and @awscloud to build our proprietary inference. Learn more: pplx.ai/introducing-pp…

MLOps is a high-leverage skill, it combines the principles of software engineering and data science. Take your projects from prototype to production! 🚀 Here's a great learning resource!👇 madewithml.com

In networking we artificially limit ourselves for some reason. We say that #MPLS is a SP technology. We say that #VXLAN is a DC technology. Open your mind! MPLS and VXLAN are viable technologies in the Campus. Tech is tech which is tech. It can be applicable to many domains.

Machine Learning is about creating pattern-finding machines. MLOps is about putting these machines to work.

On average, data science and machine learning teams spend 90% of the time doing data wrangling and MLOps orchestration By using an end-to-end MLOps platform you cut down the time by 10x

Machine learning is a vast topic, and the key to unlocking its real potential is efficient MLOps! Here are 5 categories of MLOps tools you would need in production. (A thread) 👇

MLOps is communication between data scientists and the operations or production team. It’s deeply collaborative in nature, designed to eliminate waste, automate work, and produce richer/consistent insights with machine learning. Here are 8 resources to learn about MLOps 🧵👇

🐙 MLOps Basics 🐙 This is really cool! It includes a set of hands-on guides to understand the basics of MLOps. From building the machine learning model to deploying it. It looks very useful to learn about the technology stack for ML engineering. github.com/graviraja/MLOp…

As Machine Learning has become pivotal to many real-world applications, a new field focused on ML in practice has emerged - the study of ML systems, or MLOps. What's involved in ML systems? Read this article by @KabirNagrecha for a summary: 👇 thegradient.pub/systems-for-ma…

This recent blog post provides an excellent and comprehensive overview of MLOps. Discusses a typical machine learning pipeline, including techniques and tools used. From feature store to production model serving. Lots of useful links to resources. medium.com/prosus-ai-tech…

Pre-trained language models (PLMs) have brought NLP into a new era. Here is the paper list (github.com/thunlp/PLMpape…) tracking the latest progress on PLM including modeling, compression, analysis, and finetuning. Welcome to follow and contribute! #PLM #NLProc #AI #TsinghuaNLP

On the Resources page of mpd150.com, there's a whole section called "How did we get here? History and context." Anyone, abolitionist or not, who cares about what's happening in MPLS right now, should make a point to know this history. Three highlights:

The world's first photonic propulsion laboratory demonstration using a Photonic Laser Thruster (PLT), which increases photonic propulsion efficiency by more than 1,000 times by recycling photons between two space platforms bit.ly/2ESQMjd