Nestor Maslej on Adapting AI Metrics for Real-World Impact.
DBRX and the Future of Open LLMs
Hagay Lupesko on Democratizing LLMs and the Rise of Open Foundation Models for Enterprises.
Monthly Roundup: New LLMs, GTC 2024, Constraint-Driven Innovation, Model Safety, and GraphRAG
Ben Lorica and Paco Nathan on New LLMs, Insights from GTC 2024, Constraint-Driven Innovation, Model Safety, and GraphRAG.
Automating Software Upgrades: How to Combine AI and Expert Developers
Steve Pike on tools for managing the complexity of open-source dependencies and software upgrades.
Generative AI in the Industrial Sphere
Chetan Gupta provides an Industrial AI perspective to Generative AI.
The Intersection of LLMs, Knowledge Graphs, and Query Generation
Semih Salihoglu on harnessing LLMs – from queries to knowledge graphs and beyond.
Unlocking the Potential of Private Data Collaboration
Sadegh Riazi on Collaborative AI Without Compromising Data Privacy.
Frontiers of AI: From Text-to-Video Models to Knowledge Graphs
Ben Lorica and Paco Nathan on text-to-video, Gemini, model hubs, synthetic data, and beyond.
Adaptive, Specialized, and Accessible: Where AI Systems Are Heading Next
Jerry Kaplan on the self-improving, ever-learning AI systems of the future.
2024 Themes and Trends in AI
Unlocking AI’s Next Frontier: Hardware, Generative Models, Data tools, Modular Integration, risk Mitigation, and beyond.