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Curated links from external sources — not 360Softy original articles.

ExternalAI
NVIDIA Technical Blog

Synthetic Data Generation for Financial AI Research with NVIDIA NeMo

Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings... Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings and stock movements, while rarer events such as credit-rating changes, product approvals, and labor issues are harder to capture at scale. Synthetic generation can help fill those

NVIDIA Technical BlogRead original
ExternalCloud
DigitalOcean Blog

Scale Faster with Managed Weaviate: Now in Public Preview on DigitalOcean

Production Weaviate in minutes, managed by DigitalOcean. Starting at $20/month. Vector databases have become a core piece of the AI application stack. Whether you’re building retrieval-augmented generation (RAG), semantic search, agentic workflows and memory, or similarity-based recommendations, you need a vector store that’s reliable, fast, and doesn’t require a dedicated ops engineer to keep running. Weaviate has become a critical part of that stack — its open-source AI-native vector database

DigitalOcean BlogRead original
ExternalSoftware Engineering
DZone

Disaster Recovery as a Governance System

Disaster recovery is often discussed as if it were mainly a technical discipline. Build the standby environment, configure replication, document failover, test the process, and the job is largely done. If the primary system fails, the recovery target takes over. The topic is framed as one of topology, tooling, replication, and automation. All of those things matter. None of them answers the hardest operational question: when should recovery actually be invoked?

External
The Hacker News

Dormant GitHub Accounts Help Attackers Blend In While Mapping Corporate Orgs

Datadog Security Labs is warning of "several overlapping campaigns" that are systematically enumerating corporate GitHub organizations, repositories, and user accounts through the GitHub API. "Operators rely on automated scraping tooling with custom or legitimate-sounding user agents, leveraging GitHub 'ghost' accounts that are often years old, or compromised OAuth tokens and personal

The Hacker NewsRead original

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