Torchlight™’s Post

🛠️ Power Tools for Network Excellence: Dive into our latest infographic showcasing how NetOp's #AIOps transform your network operations. From early warnings and predictions to pinpoint recommendations and simplified configurations, troubleshoot like never before. Reduce MTTR by 90% and avoid alert noise with ease. Learn more about NetOp's AI-Based Automated Incident Detection and Optimization! Read https://hubs.la/Q02xVvPR0 #NetworkTools #AIInsights #EfficientNetworking #AIOps #NetworkMonitoring #NetworkOperations #TechnologyTrends #NetopAiops #CloudTransformation #Ai #ML #NetworkAutomation #Observability #PredictiveAnalytics #AnomalyDetection #AiTechnology #userExperience #ITinnovation #PredictiveTroubleshooting #QoE

What prevents the #SDA and #Space Battle Management community from leveraging #AI #ML more effectively? I have these personal opinions but the answers are surely more nuanced: --Unequal data access --Need more agreement on class labels --No/few public, expert-labeled datasets --Few standard metrics or benchmarks --Little academic research There are criticisms of datasets like #MNIST (too simple, not diverse) but it addressed real problems. Companies in the 90s were using private data + their own benchmarks...grading their own tests...to sell character recognition software to USG. So NIST responded with standards.

An upcoming webinar, "Introduction to Machine Learning," featuring the knowledgeable Sudais Alam. Join us this Saturday at 8 PM as we embark on a journey into the fascinating realm of ML. Whether you're a beginner or looking to deepen your understanding, Our speaker Sudais Alam will provide valuable insights and demystify the world of Machine Learning. Don't miss this chance to expand your knowledge and stay ahead in the tech landscape. Date: 30-Dec-2023 Time: 8 PM Venue: Google Meet Save the date, set your reminders, and let's explore the future of technology together! #MachineLearning #TechWebinar #LearningOpportunity #codersnexus

Building my first own GENERATIVE ARTIFICIAL INTELLIGENCE MODEL..

Elevate Your Marketing with R.A.I.N: Beyond Generative AI 🚀 Discover R.A.I.N (Revenue Artificial Intelligence Network) – not just another AI tool, but a revolutionary approach to operationalizing AI in marketing. R.A.I.N transcends the realm of generative AI, offering a dynamic, integrated solution for marketing organizations. 🌟 R.A.I.N's Distinctive Edge: Advanced Integration: Seamlessly combines various marketing applications, transforming AI insights into actionable strategies. Operational Excellence: Moves beyond AI theory, applying AI practically to optimize marketing operations and decision-making. Data-Driven Mastery: Enhances decision-making with AI-powered analytics, leading to personalized customer engagement. Strategic Revenue Growth: Utilizes AI, machine learning, and big data to not just predict, but actively shape revenue-generating strategies. #ArtificialIntelligence #MarketingStrategy #TechInnovation #ThePedowitzGroup #RAIN #RevenueGrowth #AIinMarketing Check out the video to learn more: https://lnkd.in/gmZdg5Wy

Last year's Executive Order on AI, noting the importance of balancing the benefits of open foundation models - dual use foundation models with widely available model weights - while managing and mitigating associated risks, directed the National Telecommunications and Information Administration (NTIA) to solicit feedback from the private sector, academia, civil society, and other stakeholders on the potential risks, benefits, other implications, and appropriate policy and regulatory approaches related to dual-use foundation models for which the model weights are widely available. As a result, NTIA recently published a request for comment (RFC) on a number of questions related to dual-use models and model weights. Given the growing role of open foundation models in GeoAI, the geospatial community should be following this process closely and might consider responding to the RFC. Questions posed by NTIA in the RFC include: 1.    How should NTIA define “open” or “widely available” when thinking about foundation models and model weights?   2.    How do the risks associated with making model weights widely available compare to the risks associated with non-public model weights?   3.    What are the benefits of foundation models with model weights that are widely available as compared to fully closed models?   4.    Are there other relevant components of open foundation models that, if simultaneously widely available, would change the risks or benefits presented by widely available model weights? If so, please list them and explain their impact.   5.    What are the safety-related or broader technical issues involved in managing risks and amplifying benefits of dual-use foundation models with widely available model weights?   6.    What are the legal or business issues or effects related to open foundation models? #geospatiallaw #geoint #GeoAI https://lnkd.in/gEdSV2Ve

Meet me at the (AI/ML) construction site! Or last week’s DoD Chief Digital and Artificial Intelligence Office Procurement Forum in this case… Latent AI, Inc.’s MLOps pipeline toolkit is well positioned to support CDAO’s AI Scaffolding and we look forward to continuing to engage with the AI/ML Development community. You can also find us on Tradewinds Solutions Marketplace. Jags Kandasamy | Sek Chai

Artificial Intelligence

AI agents like the ones we develop at Metis Analytics will soon become indispensable tools for tactical commanders, revolutionizing the analysis of geospatial data to inform critical decision-making. I believe that in the not too distance future it will be considered irresponsible and borderline malpractice not to have AI Agents imbedded in commanders decision making workflow. These intelligent systems, powered by advanced algorithms and machine learning, sift through vast amounts of geospatial intelligence to detect patterns, predict enemy movements, and recommend actionable strategies. By integrating real-time data analysis, AI agents offer commanders a dynamic view of the battlefield, enabling precise and timely decisions that leverage geographic advantages and mitigate risks. #aiagents #threatintelligence #threatmodeling

Continuing at #llmzoomcamp, I explored the Phi-3-Mini-128K-Instruct by Microsoft, a part of the innovative Phi-3 family. This 3.8 billion-parameter model stands out due to its ability to handle extensive context lengths of up to 128K tokens, making it ideal for complex reasoning tasks. It leverages high-quality synthetic and real-world data, optimized for advanced reasoning capabilities. A unique aspect of using Phi-3 is the structured input requirement, where each message must specify a 'role' and 'content', enhancing the model's interaction dynamics. Adjusting parameters can also tailor responses to fit specific needs, showcasing its flexibility in application. Diving into such sophisticated technology continues to inspire my journey into the world of AI! https://lnkd.in/gKY2VqDh