ஜெம்மா 4: பைட்-க்கு-பைட் திறந்த எடை நுண்ணறிவின் புதிய எல்லை

This episode of Exploring Modern AI in Tamil podcast describes the 2026 release of Gemma 4, Google DeepMind’s family of open-weight AI models featuring a major architectural shift to the Apache 2.0 license. This licensing change is highlighted as a transformative move for enterprise adoption, as it removes commercial restrictions and legal ambiguity found in previous versions. The family includes four sizes—E2B, E4B, 26B, and 31B—which support advanced multimodal capabilities including text, image, audio, and video processing across context windows up to 256K tokens. Technical guides and benchmarks demonstrate that these models provide server-grade reasoning on local hardware, significantly outperforming predecessors in math, coding, and agentic tasks. Furthermore, the texts explore specific applications in penetration testing, where Gemma 4 serves as a local reasoning core to interpret security evidence while maintaining data privacy. To ensure safety in offensive security, the sources advocate for a governed architecture using structured action contracts and human-in-the-loop approvals to prevent unauthorized execution. Developers can deploy these models via frameworks like vLLM and Hugging Face on various infrastructures ranging from mobile devices to Google Kubernetes Engine.