Oreilly - AI Agents in Action, Video Edition

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Oreilly - AI Agents in Action, Video Edition (Size: 1 MB)
  Bonus Resources.txt 102.4 B
  Chapter_1._Examining_the_rise_of_the_agent_era_Why_agents.mp4 7.5 MB
  Chapter_1._Introduction_to_agents_and_their_world.mp4 14.6 MB
  Chapter_1._Navigating_the_agent_landscape.mp4 1.1 MB
  Chapter_1._Peeling_back_the_AI_interface.mp4 4.4 MB
  Chapter_1._Summary.mp4 7.3 MB
  Chapter_1._Understanding_the_component_systems_of_an_agent.mp4 17.4 MB
  Chapter_10._Agent_reasoning_and_evaluation.mp4 29 MB
  Chapter_10._Employing_evaluation_for_consistent_solutions.mp4 24 MB
  Chapter_10._Exercises.mp4 2.4 MB
  Chapter_10._Reasoning_in_prompt_engineering.mp4 25.3 MB
  Chapter_10._Summary.mp4 6.5 MB
  Chapter_11._Agent_planning_and_feedback.mp4 16.9 MB
  Chapter_11._Applying_planning,_reasoning,_evaluation,_and_feedback_to_assistant_and_agentic_systems.mp4 46.7 MB
  Chapter_11._Building_a_sequential_planner.mp4 15.5 MB
  Chapter_11._Exercises.mp4 8.4 MB
  Chapter_11._Reviewing_a_stepwise_planner_OpenAI_Strawberry.mp4 13 MB
  Chapter_11._Summary.mp4 8.5 MB
  Chapter_11._Understanding_the_sequential_planning_process.mp4 6.3 MB
  Chapter_2._Choosing_the_optimal_LLM_for_your_specific_needs.mp4 16.9 MB
  Chapter_2._Exercises.mp4 5.9 MB
  Chapter_2._Exploring_open_source_LLMs_with_LM_Studio.mp4 13.5 MB
  Chapter_2._Harnessing_the_power_of_large_language_models.mp4 23 MB
  Chapter_2._Prompting_LLMs_with_prompt_engineering.mp4 24.4 MB
  Chapter_2._Summary.mp4 5.6 MB
  Chapter_3._Building_a_GPT_that_can_do_data_science.mp4 9.3 MB
  Chapter_3._Customizing_a_GPT_and_adding_custom_actions.mp4 19 MB
  Chapter_3._Engaging_GPT_assistants.mp4 15.6 MB
  Chapter_3._Exercises.mp4 8.4 MB
  Chapter_3._Extending_an_assistant_s_knowledge_using_file_uploads.mp4 17 MB
  Chapter_3._Publishing_your_GPT.mp4 22.9 MB
  Chapter_3._Summary.mp4 7.2 MB
  Chapter_4._Building_an_agent_crew_with_CrewAI.mp4 19.7 MB
  Chapter_4._Exercises.mp4 6.8 MB
  Chapter_4._Exploring_AutoGen.mp4 14.5 MB
  Chapter_4._Exploring_multi-agent_systems.mp4 27.8 MB
  Chapter_4._Group_chat_with_agents_and_AutoGen.mp4 7.7 MB
  Chapter_4._Revisiting_coding_agents_with_CrewAI.mp4 13 MB
  Chapter_4._Summary.mp4 7.3 MB
  Chapter_5._Empowering_agents_with_actions.mp4 7.8 MB
  Chapter_5._Executing_OpenAI_functions.mp4 16.2 MB
  Chapter_5._Exercises.mp4 4.1 MB
  Chapter_5._Introducing_Semantic_Kernel.mp4 12.2 MB
  Chapter_5._Semantic_Kernel_as_an_interactive_service_agent.mp4 19.6 MB
  Chapter_5._Summary.mp4 5.6 MB
  Chapter_5._Synergizing_semantic_and_native_functions.mp4 18.2 MB
  Chapter_5._Thinking_semantically_when_writing_semantic_services.mp4 5.4 MB
  Chapter_6._Building_ABTs_with_back_chaining.mp4 10.2 MB
  Chapter_6._Building_autonomous_assistants.mp4 25.4 MB
  Chapter_6._Building_conversational_autonomous_multi-agents.mp4 6.5 MB
  Chapter_6._Exercises.mp4 7.7 MB
  Chapter_6._Exploring_the_GPT_Assistants_Playground.mp4 26.5 MB
  Chapter_6._Introducing_agentic_behavior_trees.mp4 30.9 MB
  Chapter_6._Summary.mp4 8 MB
  Chapter_7._Assembling_and_using_an_agent_platform.mp4 16.7 MB
  Chapter_7._Developing_profiles_and_personas_for_agents.mp4 6.2 MB
  Chapter_7._Exercises.mp4 4.2 MB
  Chapter_7._Giving_an_agent_actions_and_tools.mp4 9 MB
  Chapter_7._Introducing_Streamlit_for_chat_application_development.mp4 15 MB
  Chapter_7._Powering_the_agent_and_understanding_the_agent_engine.mp4 5.1 MB
  Chapter_7._Summary.mp4 5.6 MB
  Chapter_8._Applying_RAG_to_building_agent_knowledge.mp4 8.3 MB
  Chapter_8._Constructing_RAG_with_LangChain.mp4 17.2 MB
  Chapter_8._Delving_into_semantic_search_and_document_indexing.mp4 26.9 MB
  Chapter_8._Exercises.mp4 5.1 MB
  Chapter_8._Implementing_memory_in_agentic_systems.mp4 17.7 MB
  Chapter_8._Summary.mp4 10.1 MB
  Chapter_8._The_basics_of_retrieval_augmented_generation_(RAG).mp4 5.3 MB
  Chapter_8._Understanding_agent_memory_and_knowledge.mp4 6.8 MB
  Chapter_8._Understanding_memory_and_knowledge_compression.mp4 10 MB
  Chapter_9._Comparing_profiles_Getting_the_perfect_profile.mp4 26.5 MB
  Chapter_9._Evaluating_profiles_Rubrics_and_grounding.mp4 11.7 MB
  Chapter_9._Grounding_evaluation_with_an_LLM_profile.mp4 6 MB
  Chapter_9._Mastering_agent_prompts_with_prompt_flow.mp4 12.2 MB
  Chapter_9._Setting_up_your_first_prompt_flow.mp4 25.4 MB
  Chapter_9._Summary.mp4 5.9 MB
  Chapter_9._Understanding_agent_profiles_and_personas.mp4 3.6 MB
  Chapter_9._Understanding_rubrics_and_grounding.mp4 17.7 MB
  Get Bonus Downloads Here.url 204.8 B
  ▲ 79 total files

Description


AI Agents in Action, Video Edition

https://FreeCourseWeb.com

Released 2/2025
By Micheal Lanham
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 6h 25m | Size: 1 GB

Create LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs.

From script-free customer service chatbots to fully independent agents operating seamlessly in the background, AI-powered assistants represent a breakthrough in machine intelligence. In AI Agents in Action, you'll master a proven framework for developing practical agents that handle real-world business and personal tasks.

Author Micheal Lanham combines cutting-edge academic research with hands-on experience to help you
Understand and implement AI agent behavior patterns
Design and deploy production-ready intelligent agents
Leverage the OpenAI Assistants API and complementary tools
Implement robust knowledge management and memory systems
Create self-improving agents with feedback loops
Orchestrate collaborative multi-agent systems
Enhance agents with speech and vision capabilities

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