Syenah GmbH is thrilled to announce the integration of Meta’s advanced LLaMA-3.1 405 Billion Parameter model into our ESG-Sentinel platform, powered by our in-house NVIDIA DGX-2 system. This enhancement strengthens our platform’s ability to deliver comprehensive supply chain and portfolio ESG incident detection and customisable risk scoring, empowering businesses and investment managers with precise and reliable data.
The LLaMA-3.1 model’s superior natural language processing and extended context capabilities enable ESG-Sentinel to analyse ESG incidents with greater detail and accuracy. With its massive 405 billion parameters it facilitates even more nuanced categorisation and impact assessment of detected ESG incidents, allowing our clients to gain deeper insights into potential risks. The model’s extended context length of 128,000 tokens ensures that even the most complex ESG issues are captured and analysed in their entirety, providing a level of detail that was previously unattainable.
At Syenah GmbH, we are committed to harnessing the latest AI advancements to provide our clients with the most advanced, reliable, and actionable ESG risk intelligence. The integration of the LLaMA-3.1 model is a testament to this commitment, setting the stage for new possibilities in ESG risk management.
Contact us to see how ESG-Sentinel can help you make informed decisions, mitigate risks, and ensure regulatory compliance with real-time ESG risk intelligence.
