#tensor processing unit
450 related articles
·3 min
AI Large Language Model Learning Roadmap from Scratch: From Beginner to Enterprise-Level Practice
A systematic AI LLM learning roadmap from scratch, covering Python basics, Prompt Engineering, RAG, Agent development, and enterprise-level projects.
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·4 min
AI Large Language Model Career Transition Roadmap: A Three-Phase Learning Guide from Zero to Enterprise-Ready
A systematic three-phase AI LLM career transition roadmap: from Transformer fundamentals to RAG, Agent & LangChain development, to LoRA fine-tuning. Build enterprise-ready skills in two months.
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·3 min
Java Developer's Guide to AI: Hands-On with Spring AI and RAG
A practical guide for Java developers to build AI apps without switching languages — covering LLM APIs, prompt engineering, RAG, Spring AI, and Langchain4j.
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·2 min
Groq Raises $650 Million to Rebuild Team, Challenging NVIDIA with LPU Chips
AI inference chip company Groq confirms $650M funding round, actively rebuilds executive team after NVIDIA's massive talent raid, and doubles down on Neocloud business.
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·3 min
AI Scientist: A Deep Dive into Sakana AI's Automated Research Framework
Deep dive into Sakana AI's open-source AI Scientist project: how LLMs automate the full research pipeline from hypothesis generation and experiment execution to paper writing, including architecture, workflow, and limitations.
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·3 min
NVIDIA ACE SDK: On-Device AI Inference for Intelligent Game NPC Companions
Deep dive into NVIDIA ACE Game Agent SDK's integration with Unreal Engine 5, exploring how on-device AI inference enables low-latency, privacy-safe intelligent NPC dialogue and behavior.
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·3 min
DAQIRI Platform Explained: Deep Integration of High-Speed Data Acquisition and Real-Time AI Inference
Deep dive into how the DAQIRI platform embeds NVIDIA GPU-accelerated computing into high-speed data acquisition pipelines, enabling real-time AI inference for industrial inspection, scientific experiments, and autonomous driving.
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·1 min
OpenFugu: An Open-Source Experiment Reimplementing Sakana AI's Fugu Ultra Model in Zig
OpenFugu is an open-source project reimplementing Sakana AI's Fugu Ultra model in Zig, exploring non-mainstream systems languages in AI development.
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·1 min
CPU, GPU, and TPU: Core Differences and Best Use Cases Explained
Deep dive into CPU, GPU, and TPU architecture differences, strengths, and use cases. Understand why GPUs excel at AI training and TPUs specialize in ML workloads.
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·3 min
748-Episode AI Large Language Model Development Tutorial: Seven Core Modules from Zero to Project Deployment
Analysis of a 748-episode, 198-hour AI LLM development tutorial covering API integration, prompt engineering, RAG, AI Agents, fine-tuning, multimodal development, and deployment.
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·2 min
Baseten Raises $1.5 Billion: Why AI Inference Infrastructure Has Become a Capital Darling
AI inference startup Baseten is raising $1.5B at a $130B valuation. We analyze why inference infrastructure is booming, the competitive landscape, and what this mega-round signals.
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·3 min
Python Excel Automation in Practice: Data Filtering and Categorization with Pandas
Learn how to use Python Pandas to automate Excel data filtering and categorization. Core code is just 6-8 lines — handle massive datasets effortlessly.
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·4 min
Llama.cpp Windows Local Deployment Guide: Run LLMs in Three Steps Without Compiling
Step-by-step guide to deploying Llama.cpp on Windows without compiling. Download pre-built packages, configure CUDA, and run GGUF quantized models locally with GPU acceleration and web UI in three simple steps.
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·3 min
ThundeRobot Hunter Blade S 2026 Review: i9-13900HX + RTX 5060 Configuration Analysis & Buying Guide
In-depth review of the ThundeRobot Hunter Blade S 2026 with i9-13900HX and RTX 5060 16GB. Analyzing CPU/GPU performance, AI capabilities, and value at ~6,671 RMB after subsidies.
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·3 min
The Positive-Sum Game of Enterprise AI: How to Make AI Create Value for Everyone
Enterprise AI shouldn't be a zero-sum game. Learn how a positive-sum approach creates shared value for businesses, employees, and customers alike.
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·3 min
Fireworks AI Launches Qwen 3.7 Plus: Zero Data Retention and 99.9% SLA for Enterprise Deployment
Fireworks AI launches Qwen 3.7 Plus with latency/throughput optimization, zero data retention, and 99.9% SLA enterprise guarantees. Explore the full-stack deployment solution for commercial open-source model inference.
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·4 min
Local Deployment of Claude Code: Principles and Practical Guide for Three Approaches
A detailed guide to locally deploying Claude Code with three approaches (LM Studio, Ollama, vLLM), covering architecture, protocol translation, hardware selection, and model recommendations.
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·3 min
Google Launches European Robotics Accelerator: 15 Startups Selected as the Physical AI Race Begins
Google launches its European Robotics Accelerator with 15 startups selected. The program offers Gemini Robotics models, AI stack access, and team support to advance Physical AI.
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·2 min
Nemotron 3 Ultra Arrives on Perplexity: How Strong Is NVIDIA's Open-Source Model?
NVIDIA's open-source model Nemotron 3 Ultra launches on Perplexity for Pro and Max users. Explore its technical strengths, Perplexity's aggregation strategy, and the win-win path for open-source AI commercialization.
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·3 min
Huawei HDC Deep Dive: Pangu 2.0 Goes Open Source and HarmonyOS 7 Agents Reshape the Mobile AI Ecosystem
Huawei HDC unveils Pangu 2.0 full open source and HarmonyOS 7 system-level Agent capabilities. Deep analysis of sparse architecture efficiency, on-device 30B models, and the Agent gateway battle.
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