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4 minutes

Introducing EmbeddingGemma: The Best-in-Class Open Model for On-Device Embeddings

Google for Developers. The video introduces multilingual text embeddings that can run locally and support semantic search and RAG without sending every document to a hosted API. For Estonian companies, that is a useful technical complement to the article's internal-knowledge-search pattern: multilingual retrieval is valuable only when it also respects data locality, permissions and source authority.

Understand why multilingual embeddings matter for private internal search and where local retrieval can reduce data-exposure risk.

IntermediateAI for Business
32 minutes

How to Build Human-Centered AI Workflows in Localization with Shashi Bhushan

Crowdin. Shashi Bhushan starts with workflow mapping rather than tool selection, then covers source-text quality, human review, AI proofreading, glossary checks, product-team involvement, pilots and privacy constraints. That is almost exactly the operating model the article recommends for Estonian teams working across Estonian, English, Russian, Finnish and customer-specific terminology.

Learn how to introduce AI into localization without removing human ownership of meaning, tone, terminology and final approval.

IntermediateAI for Business
18 minutes

AWS re:Invent 2025 - Implementing Human-in-the-Loop Controls for Multi-Agent AI Systems (CNS428)

AWS Events. This lightning talk names the business moments where human control is needed: high-stakes decisions, irreversible actions, regulatory requirements, trust-building phases, ambiguous edge cases and graceful degradation. It also shows concrete implementation mechanisms such as MCP elicitations, Step Functions callback waits and approval nodes.

See how approval gates can be implemented as explicit workflow checkpoints rather than informal manual review after something goes wrong.

IntermediateAutomations

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