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Εξέλιξη Κομματιού
Understanding Agentic AI with Gemini 3
- Agentic reasoning and autonomous task execution
- Capabilities unique to Gemini 3 for agent workflows
- Enterprise scenarios requiring autonomous agents
Exploring the Antigravity Development Environment
- Core concepts, architecture, and toolset
- Managing projects and environments
- Executing and monitoring agent runs
Designing Autonomous Agents
- Structuring tasks and workflows for autonomy
- Multi-step reasoning and planning chains
- Designing safe and controlled action loops
Coding and Tool Use in Antigravity
- Allowing agents to write and refine code
- Delegating tasks to system tools and APIs
- Managing tool permissions and capabilities
Multimodal Agent Capabilities with Gemini 3
- Processing images, documents, and structured data
- Combining modalities for complex planning
- Extracting insights for autonomous decision-making
Integrating Agents with Enterprise Systems
- Connecting Antigravity to external APIs
- Interacting with cloud services and databases
- Building end-to-end automated business workflows
Optimizing and Evaluating Agent Behavior
- Improving reliability and controlling variability
- Debugging and refining agent actions
- Performance, scaling, and workload orchestration
Responsible Use, Safety, and Governance
- Managing agent autonomy in enterprise contexts
- Safety rules, constraints, and governance controls
- Auditing agent decisions and maintaining transparency
Summary and Next Steps
Απαιτήσεις
- An understanding of advanced AI concepts
- Experience with software development and cloud environments
- Knowledge of prompt engineering or model orchestration
Audience
- AI developers
- Software engineers
- R&D teams
21 Ώρες
Σχόλια (1)
Ροή, ατμός και θέμα στην παρουσίαση
Lukasz Kowalczyk - Allegro Sp. z o.o.
Κομμάτι - Google Gemini AI for Data Analysis
Μηχανική Μετάφραση