Large Language Models (LLMs) have emerged as transformative tools in research and industry, with their performance directly correlating to model…
Development
Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative rewards. It has diverse applications, including robotics, gaming,…
Vision-Language Models (VLMs) have significantly expanded AI’s ability to process multimodal information, yet they face persistent challenges. Proprietary models such…
What is an Agent? An agent is a Large Language Model (LLM)-powered system that can decide its own workflow. Unlike…
Significant progress has been made in short-form instrumental compositions in AI and music generation. However, creating full songs with lyrics,…
Post-training quantization (PTQ) focuses on reducing the size and improving the speed of large language models (LLMs) to make them…
Stay ahead in the tech landscape with our in-depth analysis of the top 7 software testing trends for 2025. Learn how innovations like Agentic AI, low-code platforms, and ethical AI testing are transforming quality assurance.
The post Top 7 Emerging Software Testing Trends That Will Dominate in 2025 first appeared on TestingXperts.
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