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Smart residential proxies are AI-powered tools that enable secure, anonymous, and automated access to the web—perfect for freelancers, marketers, and privacy seekers in 2025.

Explore the groundbreaking software innovations of 2025, from AI-powered smart glasses to revolutionary game development platforms and cutting-edge cybersecurity advancements.

This guide shows how to run inference on a LoRA fine-tuned DeepSeek 8B model using 4-bit quantization for efficient performance on modest GPUs. Learn how to load the base model, apply your trained LoRA adapter, and generate responses interactively—perfect for local testing, prototyping, or building lightweight AI tools.

Learn how to fine-tune DeepSeek 8B models efficiently using LoRA and 4-bit quantization on Google Colab or any 30GB GPU. This step-by-step guide walks you through model loading, dataset preparation, training setup, and advanced optimization techniques—enabling scalable, low-cost customization with parameter-efficient methods.

Discover the latest proxy trends of 2025, from AI-powered automation to ethical scraping and 5G mobile proxies. Learn how businesses are leveraging proxies for security, speed, and compliance.

Boost efficiency and productivity with workflow automation. Implement AI-driven automation to streamline processes, enhance task management, and drive business growth.

ChatGPT and DeepSeek are cutting-edge AI models revolutionizing conversational AI and research. While ChatGPT excels in content creation, DeepSeek provides in-depth factual analysis.

Data Science is revolutionizing industries by turning raw data into actionable insights using AI, machine learning, and analytics. It enhances decision-making, efficiency, and innovation across healthcare, finance, marketing, and more.

5G-Advanced, agentic AI, spatial computing, polyfunctional robots, and post-quantum cryptography are revolutionizing industries by enhancing connectivity, automation, immersive experiences, versatile robotics, and future-proof security.

In essence, training builds the foundation, while fine-tuning tailors that foundation to specific needs. Fine-tuning is particularly powerful because it leverages the vast knowledge already embedded in a pre-trained model like GPT, enabling efficient customization.