Artificial intelligence
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How to Build a RAG Pipeline for Atomic-Agents with Scripted Schemas, Dynamic Content Injection, and Agent Integration
In this tutorial, we build an advanced, end-to-end learning pipeline Atomic-Agents by combining typed agent interfaces, structured information, and a…
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NVIDIA Researchers Introduce KVTC Transcoding Pipeline to Compress Key-Value Caches by 20x for Efficient LLM Performance
Running Large Language Models (LLMs) at scale is a major engineering challenge due to the management of the Key-Value (KV)…
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Google AI Introduces Natively Adaptive Interfaces (NAI): An Agentic Multimodal Accessibility Framework Built on Gemini for Adaptive UI Design
Google Research proposes a new way to create accessible software with Natively Adaptive Interfaces (NAI), an agent framework where a…
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AI algorithm enables tracking of important white objects | MIT News
The signals that drive the brain and many of the most important functions of the body – consciousness, sleep, breathing,…
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How to Design Tensor Pipelines for Deep Learning Using Einops with Perception, Attention, and Multimodal Models
section("6) pack unpack") B, Cemb = 2, 128 class_token = torch.randn(B, 1, Cemb, device=device) image_tokens = torch.randn(B, 196, Cemb, device=device)…
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Alibaba Open-Sources Zvec: An Embedded Vector Database Bringing SQLite-like Simplicity and High Performance to the RAG Device at the Edge Application
Alibaba Tongyi Lab’s research team has released ‘Zvec’, an open-source, in-process vector database that targets on-device performance and discovery. It…
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How ManageEngine Helps Prevent Downtime
In modern IT environments, alerts are everywhere. CPU spikes. Server latency. App download.Every little deviation causes a notification – but…
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3 questions: Using AI to help Olympic skaters get a chance | MIT News
Olympic figure skating seems simple. Athletes cut across the ice, then fly through the air, circling overhead, before landing on…
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How to Build a Privacy-Preserving Integrated Pipeline for Optimizing Large-Scale Language Models with LoRA Using Flower and PEFT
!pip -q install -U "protobuf<5" "flwr[simulation]" transformers peft accelerate datasets sentencepiece import torch if torch.cuda.is_available(): !pip -q install -U bitsandbytes…
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How a Human-in-the-Loop Approach Improves AI Data Quality
If you’ve ever watched the performance of a model after a “simple” refresh of a data set, you already know…
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