Decentralized AI is the future.
Perceptron is already building it.
@PerceptronNTWK
#AI #Perceptron
#MachineLear
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Search
Building an ML Model in 60 seconds! 🤖💻 #programming #coding #machinelear... youtube.com/shorts/g6Cyw3p… via @YouTube
LLMOps: Connect to your Copilot agents using available SDKs #machinelear... youtu.be/LFZPyU35ppc?si… via @YouTube
In this video, I'll show you how to create a Django application that demonstrates four different ways to integrate with Microsoft Copilot Studio agents and Microsoft Graph semantic search: - **Agent SDK Interactive** (`/agentsdk/`): Direct SDK calls with delegated authentication - **Direct Line Webchat** (`/directline/`): Azure Bot Service channel with a web UI - **Graph Retrieval** (`/graph/`): Semantic search within Microsoft 365 content - **Embed Webchat** (`/embed/`): Simple iframe integration of Copilot Studio web chat
#mlops #machinelearning #datascience #artificialintelligence
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Before: "It's just numbers and words, how hard can it be?" 😵💫
After: "Aha! I see the patterns! It's all so clear now! Give me the model!" 🧐✨
#DataScientiest #MachineLear #FeatureEngineering6pL
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Generative AI tool helps 3D print personal items that sustain daily use news.mit.edu/2026/genai-too… #AI #MIT #MachineLear... Like and Follow for more QuantumBytz updates! Subscribe to our Telegram channel @quantumbytz.
Generative AI tool helps 3D print personal items that sustain daily use
MechStyle, a system developed at MIT, enables users to upload a 3D model or preset asset of everyday items, then prompt a generative AI model using images or text to personalize it. The system keeps...
From news.mit.edu 17
LLMOps: Search and enrich data with Artificial Intelligence #machinelear... youtu.be/uYF4kqcwcXo?si… via @YouTube
In this video, we'll explain how to enrich a data catalog by using different AI-powered research/ search pipelines AI-powered by LLMs, in this case, Azure OpenAI. It offers several interchangeable strategies for gathering evidence (Perplexity, Firecrawl, Google Custom Search) along with a comparison tool to evaluate how the pipelines perform in looking for missing Information unders some criteria for the same set of Data. It also includes a conversational bot (`firecrawl_bot.py`) that uses Firecrawl to add context on demand. The goal is to enrich the records of companies or customers( for example) using Artificial Intelligence and their public digital footprint.
#MachineLearning #datascients #ArtificialInteligence
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AI Interview Series #4: Transformers vs Mixture of Experts (MoE) marktechpost.com/2025/12/03/ai-… #AI #MachineLear... Like and Follow for more QuantumBytz updates! Subscribe to our Telegram channel @quantumbytz.
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🚀 Exciting news! Just launched ml-container-creator - your fast track to BYOC on AWS SageMaker
Say goodbye to containerization headaches and hello to streamlined #ML model deployment 🎯
Check out the details: go.aws/4ppVTfT
#AWS #MachineLearyi
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Comparing the Top 6 Inference Runtimes for LLM Serving in 2025 marktechpost.com/2025/11/07/com… #AI #MachineLear... Like and Follow for more QuantumBytz updates! Subscribe to our Telegram channel @quantumbytz.
Comparing the Top 6 Inference Runtimes for LLM Serving in 2025
Dive into a detailed comparison of the top 6 inference runtimes for LLM serving in 2025 and their performance tradeoffs.
From marktechpost.com 10
Method teaches generative AI models to locate personalized objects news.mit.edu/2025/method-te… #AI #MIT #MachineLear... Like and Follow for more QuantumBytz updates! Subscribe to our Telegram channel @quantumbytz.
Method teaches generative AI models to locate personalized objects
MIT researchers developed a training method that teaches vision-language generative AI models to localize a specific object, like a person’s pet, in a new scene.
From news.mit.edu 11
Using generative AI to diversify virtual training grounds for robots news.mit.edu/2025/using-gen… #AI #MIT #MachineLear... Like and Follow for more QuantumBytz updates! Subscribe to our Telegram channel @quantumbytz.
Using generative AI to diversify virtual training grounds for robots
MIT CSAIL's “Steerable Scene Generation” method helps create realistic, virtual training grounds to help robots practice physical tasks. It arranges 3D assets into digital kitchens, living rooms, and...
From news.mit.edu 12
Perceptron explained in 60seconds #DeepLearning #Perceptron #MachineLear... youtube.com/shorts/u4292EA… via @YouTube
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🌐 MIT's latest research unveils a groundbreaking adaptive control system for drones battling unpredictable conditions like strong winds. With machine learning & meta-learning, these drones promise improved trajectory accuracy by 50%! 💨🚁
#TechInnovation #Drones #MachineLear…
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