Google releases Gemini API CLI beta for agents and automation
Google’s beta API client connects coding agents and automated workflows to Gemini models, with local files, structured output and background tasks.
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Google’s beta API client connects coding agents and automated workflows to Gemini models, with local files, structured output and background tasks.
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Plan business AI video through storyboards, continuity, sound, captions, rights and export. An original example with website and social publishing checks.
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From brief to website-ready images: desktop/mobile composition, controlled editing, visual identity, provenance and optimised delivery.
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Choose an AI model through task requirements, data and tests. An illustrative cost-per-accepted-output calculation, latency criteria and business selection workflow.
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How to check AI-proposed code: requirements, cause, minimal changes, tests and review. An original date-filter example with explicit boundaries and time zone.
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Roo Code's status, roles and approvals in its archived documentation. Preserve control of files, tests and delivery when migrating an AI coding workflow.
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When to use Crews and Flows, how to define tasks and when one agent is enough. An internal-support example, dependency diagram and evaluation criteria.
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Framework or protocol? Understand ADK, A2A and MCP, the roles of Agent Card and Task, and controlled exchanges between business applications.
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How orchestration, state, observability and visual flow building differ in an AI application. Diagrams and criteria for choosing the appropriate tools.
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Design an n8n AI workflow with validation, CRM proposals and approval. Diagrams, failures, retries and duplicate prevention in a business example.
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What reinforcement learning is, how rewards differ from outcomes and how to evaluate a policy in simulation. Visual examples and business selection criteria.
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What principal components are, how data scale matters and what a projection loses. Visual calculations, explained variance and business evaluation.
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How K-Means groups data: centroids, distances, scaling and cluster count. An original visual example and controlled CRM integration.
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How a tree learns splits, and what Gini, depth and pruning mean. An original branching diagram, calculations and branch-level business evaluation.
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How KNN selects nearby examples, votes for classes and estimates values. Visual distances, scaling and evaluation for business applications.
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Multiple predictors or multiple outputs? Linear regression explained with illustrative calculations, errors in minutes and business validation criteria.
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Generators, discriminators, noise and latent space: compare GANs with diffusion. Explanatory diagrams, image controls and a business workflow.
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Understand face detection, 1:1 verification and 1:N identification. Explanatory workflows, errors, data protection and project assessment criteria.
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Prepare a YOLO project: classes, labels, thresholds, IoU, errors and object counting in video. Original diagrams and business testing criteria.
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How recurrent networks process history: states, gates, time windows and chronological evaluation. Visual examples for useful business forecasting.
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CNNs explained through filters, feature maps and a visual calculation. Data, transfer learning and evaluation for a practical image-analysis application.
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AI attention explained visually: tokens, queries, keys, values, masks, encoders and decoders. Demonstrative examples and business application criteria.
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What a deepfake is and how to check an unusual business request: voice, video, provenance, independent confirmation and authorised actions. A practical business guide.
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Using images and video in business applications: classification, detection, segmentation, OCR and tracking. Diagrams, examples and criteria for evaluating a pilot.
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