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| 10 -How to evaluate AI agents.mp4 |
81.36Мб |
| 1 -Intro.mp4 |
19.04Мб |
| 1 -Intro.mp4 |
17.61Мб |
| 1 -Intro.mp4 |
12.13Мб |
| 1 -Intro.mp4 |
18.74Мб |
| 1 -Intro.mp4 |
17.49Мб |
| 1 -What does the course cover.mp4 |
33.20Мб |
| 2 -Distinguishing LLMs vs AI workflows vs Agents (Agentic vs Non-agentic AI).mp4 |
131.70Мб |
| 2 -Environment – the external world that the agent perceives and interacts with.mp4 |
53.10Мб |
| 2 -How to implement AI agents in your business.mp4 |
56.45Мб |
| 2 -Key characteristics of AI agents.mp4 |
69.38Мб |
| 2 -Learning from humans.mp4 |
71.57Мб |
| 2 -What is an AI agent.mp4 |
64.18Мб |
| 3 -How AI agents reason and act (ReAct).mp4 |
55.08Мб |
| 3 -Learning from external systems.mp4 |
82.31Мб |
| 3 -Select a model.mp4 |
41.40Мб |
| 3 -Sensors – how the agent collects data about its surroundings.mp4 |
45.69Мб |
| 3 -Simple reflex agent.mp4 |
39.39Мб |
| 3 -Why AI agents are believed to be the next big thing.mp4 |
85.45Мб |
| 4 -External tools the agent can use.mp4 |
33.49Мб |
| 4 -How AI agents reason without observation (ReWoo).mp4 |
50.59Мб |
| 4 -Model-based reflex agent.mp4 |
55.01Мб |
| 4 -Model – the agent’s way of making sense of information.mp4 |
32.48Мб |
| 5 -Configuring instructions and prompt engineering best practices.mp4 |
73.29Мб |
| 5 -Decision-making logic – rules and objectives that guide the agent’s actions.mp4 |
88.23Мб |
| 5 -Goal-based agent.mp4 |
39.73Мб |
| 5 -Single agents.mp4 |
26.60Мб |
| 6 -Actions – how the agent shapes the environment.mp4 |
34.27Мб |
| 6 -Few-shot prompting.mp4 |
59.01Мб |
| 6 -Multi-agents.mp4 |
57.63Мб |
| 6 -Utility-based agent.mp4 |
44.98Мб |
| 7 -Chain of Thought reasoning.mp4 |
39.09Мб |
| 7 -Learning agent.mp4 |
19.08Мб |
| 7 -The updated environment.mp4 |
44.50Мб |
| 8 -Guardrails.mp4 |
61.60Мб |
| 9 -The importance of human intervention.mp4 |
25.65Мб |
| Bonus Resources.txt |
70б |
| Get Bonus Downloads Here.url |
180б |