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@lurae88:

Kita Sodara
Kita Sodara
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Region: ID
Monday 25 August 2025 09:56:51 GMT
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gandi1977
user8266045862984 :
DPR ....penampungan calon penghuni neraka ....aamiin
2025-08-26 02:37:55
3
bahnyahsan
🔥𝓑𝓐𝓗 𝓝𝓨𝓐𝓗 SAN🔥 :
honorer masih mending. coba bayangkan. rakyat kecil. cari kerja jg susah.
2025-08-25 11:26:15
1
sutian442
sutian :
ini para biangketok penyebab rakyat marah, mereka udah muka tembok ga tau malu.
2025-08-25 12:24:34
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Episode 6: Language, Tools, and Environment Interaction: This analysis investigates the mechanisms that enable agents to interact with the world using tools, transforming them from passive reasoners into active, problem-solving entities. Modern agentic systems teach Large Language Models (LLMs) to utilize external tools to augment their capabilities, with paradigms like ReAct structuring an agent's process into iterative loops of thought, action, and observation. The AutoGPT-style of chaining uses an LLM as a central planning engine to manage tasks, while foundational toolkits for software agents include code execution, file system access, and web browsing/searching. Open-source frameworks like LangChain, Microsoft AutoGen, and CrewAI provide scaffolding for building agentic systems. The differences between software agents and embodied agents (robots) are explored, along with the role of simulation in safely developing and testing agents before deployment. The ability to use tools is crucial for unleashing the potential of an agent's cognitive engine, with careful development and testing processes enabling the transition from impressive demonstrations to robust, reliable, and truly helpful autonomous systems. #agentic#autogpt#langchain#crewai#agenticai#aiagents#aiagent#deliberatecreator#hybridai#aiplanning#intelligentsystems#ethicsinai#criticalthinking#aitutor#adaptivelearning#digitalliteracy#aiethics#ai#fyp
Episode 6: Language, Tools, and Environment Interaction: This analysis investigates the mechanisms that enable agents to interact with the world using tools, transforming them from passive reasoners into active, problem-solving entities. Modern agentic systems teach Large Language Models (LLMs) to utilize external tools to augment their capabilities, with paradigms like ReAct structuring an agent's process into iterative loops of thought, action, and observation. The AutoGPT-style of chaining uses an LLM as a central planning engine to manage tasks, while foundational toolkits for software agents include code execution, file system access, and web browsing/searching. Open-source frameworks like LangChain, Microsoft AutoGen, and CrewAI provide scaffolding for building agentic systems. The differences between software agents and embodied agents (robots) are explored, along with the role of simulation in safely developing and testing agents before deployment. The ability to use tools is crucial for unleashing the potential of an agent's cognitive engine, with careful development and testing processes enabling the transition from impressive demonstrations to robust, reliable, and truly helpful autonomous systems. #agentic#autogpt#langchain#crewai#agenticai#aiagents#aiagent#deliberatecreator#hybridai#aiplanning#intelligentsystems#ethicsinai#criticalthinking#aitutor#adaptivelearning#digitalliteracy#aiethics#ai#fyp
﷽ •| 🎙️ خاندەڤان: “‎ ادريس ابكر” •| 📚 سورەتا: “آل عمران” •| 🔎 ئایەتا: «146-147» ‏‎وده‌مێ قورئان دئێته‌ خواندن هوين گوهدارییا وێ بكه‌ن وخۆ بێ ده‌نگ بكه‌ن؛ دا به‌لكى هوين تێ بگه‌هن ب وێ هيڤییێ كو خودێ ڕه‌حمێ پێ ب هه‌وه‌ ببه‌ت ‏‎قورئان [7:204] ‏‎#قرآن #الاسلام #quran #islam
﷽ •| 🎙️ خاندەڤان: “‎ ادريس ابكر” •| 📚 سورەتا: “آل عمران” •| 🔎 ئایەتا: «146-147» ‏‎وده‌مێ قورئان دئێته‌ خواندن هوين گوهدارییا وێ بكه‌ن وخۆ بێ ده‌نگ بكه‌ن؛ دا به‌لكى هوين تێ بگه‌هن ب وێ هيڤییێ كو خودێ ڕه‌حمێ پێ ب هه‌وه‌ ببه‌ت ‏‎قورئان [7:204] ‏‎#قرآن #الاسلام #quran #islam
العلامات الأرضية #تعليم_السياقة_للمبتدئين #codedelaroute #autoecole #تعليم_السياقة #blida #الجزائر
العلامات الأرضية #تعليم_السياقة_للمبتدئين #codedelaroute #autoecole #تعليم_السياقة #blida #الجزائر

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