AI
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Build a Data Analyst and Visualization Agent using Swarm Architecture
The Swarm Architecture brings together specialized AI agents that collaborate to solve complex data problems. Inspired by cloud computing, it…
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How Andrej Karpathy Built a Transformer in 243 Lines of Code?
AI researcher Andrej Karpathy has developed an educational tool microGPT which provides easy access to GPT technology based on his…
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Pricing Structure and Key Functions
HiCut AI Video Generator is one of the latest AI video editing apps available on the Appstore. It works great…
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How to Build a Matryoshka-Optimized Sentence Embedding Model for Ultra-Fast Retrieval with 64-Dimension Truncation
In this tutorial, we fine-tune the embedding model of Sentence-Transformers using Matryoshka Representation Learning so that the initial vector measurements…
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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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Creating an AI Girlfriend with OurDream
You sign up (a free tier is available), create a companion by customizing features and appearance, and jump into the…
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Claude Agents Newly Builds Fully Functional C Compiler
Sixteen independent AI agents. Two weeks of continuous killing. About 100,000 lines of Rust code. That’s what it took for…
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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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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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