#foundational-models

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fromComputerworld
2 weeks ago

DeepSeek AI's code bias sparks alarm over politicized AI outputs and enterprise risk

As the number of foundation models proliferates and enterprises increasingly build applications or code on top of them, it becomes imperative for CIOs and IT leaders to establish and follow a robust multi-level due diligence framework, Shah said. That framework should ensure training data transparency, strong data privacy, security governance policies, and at the very least, rigorous checks for geopolitical biases, censorship influence, and potential IP violations.
Artificial intelligence
Artificial intelligence
fromInfoQ
3 weeks ago

The Data Backbone of LLM Systems

Retrieval-augmented generation (RAG) dominates practical LLM application development, shifting work toward software engineering, data engineering, and information retrieval instead of model fine-tuning.
fromLogRocket Blog
3 weeks ago

What you actually need to build and ship AI-powered apps in 2025 - LogRocket Blog

The AI stack has become increasingly confusing and complex. We've gone from two major players (OpenAI and Anthropic) in 2023 to over 200 providers, dozens of vector databases, and a constant stream of new "AI-native" tools launching weekly. AI applications are no longer in the experimental phase. These technologies have now matured to production-ready applications that enterprises can deploy at scale.
Artificial intelligence
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