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J Ashok Kumar

@jashokkumar83

PhD, HCLTech AI CoE | Anna University, Chennai - 600 025
Chennai, India
Joined June 2014
846 Following
81 Followers
655 Posts
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Dhanian ๐Ÿ—ฏ๏ธ Verified account @e_opore
AI Agent Architectures What Is an AI Agent? โ†’ An AI agent is a software system that can perceive information, reason about it, make decisions, and perform actions to accomplish a goal. Basic AI Agent Architecture โ†’ User Input โ†’ AI Model (LLM) โ†’ Planning & Reasoning โ†’ Tool Selection โ†’ Action Execution โ†’ Response Generation Components of an AI Agent โ†’ User Interface โ†’ Prompt Manager โ†’ Memory System โ†’ Planning Engine โ†’ Reasoning Module โ†’ Tool Manager โ†’ External APIs โ†’ Knowledge Base โ†’ Output Formatter Reactive Agent โ†’ Receive Input โ†’ Analyze Request โ†’ Execute Action โ†’ Return Result Planning Agent โ†’ Receive Goal โ†’ Break Goal into Tasks โ†’ Prioritize Steps โ†’ Execute Sequentially โ†’ Verify Completion Tool-Using Agent โ†’ Understand Request โ†’ Select Appropriate Tool โ†’ Execute Tool โ†’ Collect Results โ†’ Generate Final Answer Retrieval-Augmented Generation (RAG) Agent โ†’ Receive Query โ†’ Search Knowledge Base โ†’ Retrieve Relevant Documents โ†’ Combine Context with LLM โ†’ Generate Accurate Response Multi-Agent Architecture โ†’ Coordinator Agent โ†’ Task Distribution โ†’ Specialist Agents โ†’ Merge Results โ†’ Final Response Memory-Based Agent โ†’ Receive Request โ†’ Retrieve Previous Context โ†’ Combine with Current Input โ†’ Reason Using Memory โ†’ Produce Personalized Output Autonomous Agent โ†’ Define Objective โ†’ Plan Tasks โ†’ Execute Actions โ†’ Monitor Progress โ†’ Adapt Strategy โ†’ Complete Objective AI Agent Workflow โ†’ User Goal โ†’ Input Processing โ†’ Context Retrieval โ†’ Planning โ†’ Reasoning โ†’ Tool Execution โ†’ Validation โ†’ Final Output Popular AI Agent Design Patterns โ†’ Reflection Pattern โ†’ Planning Pattern โ†’ ReAct Pattern โ†’ Tool Calling Pattern โ†’ Multi-Agent Collaboration โ†’ Human-in-the-Loop โ†’ Self-Correction Pattern Best Practices โ†’ Keep prompts modular. โ†’ Use memory only when necessary. โ†’ Validate tool outputs. โ†’ Implement error handling. โ†’ Log every important action. โ†’ Limit unnecessary tool calls. โ†’ Protect sensitive data. โ†’ Continuously evaluate agent performance. Common Tech Stack โ†’ Python โ†’ LangGraph โ†’ LangChain โ†’ OpenAI API โ†’ Anthropic API โ†’ FastAPI โ†’ Vector Database โ†’ PostgreSQL โ†’ Redis โ†’ Docker Learning Path โ†’ Learn Python โ†’ Understand LLM Fundamentals โ†’ Master Prompt Engineering โ†’ Learn Tool Calling โ†’ Build RAG Applications โ†’ Implement Memory Systems โ†’ Create Multi-Agent Systems โ†’ Deploy AI Agents Grab the Building AI Agent from Scratch ebook: https://t.co/SWCKKtbPNm
e_opore's tweet photo. AI Agent Architectures What Is an AI Agent? โ†’ An AI agent is a software system that can perceive information, reason about it, make decisions, and perform actions to accomplish a goal. Basic AI Agent Architecture โ†’ User Input โ†’ AI Model (LLM) โ†’ Planning & Reasoning โ†’ Tool Selection โ†’ Action Execution โ†’ Response Generation Components of an AI Agent โ†’ User Interface โ†’ Prompt Manager โ†’ Memory System โ†’ Planning Engine โ†’ Reasoning Module โ†’ Tool Manager โ†’ External APIs โ†’ Knowledge Base โ†’ Output Formatter Reactive Agent โ†’ Receive Input โ†’ Analyze Request โ†’ Execute Action โ†’ Return Result Planning Agent โ†’ Receive Goal โ†’ Break Goal into Tasks โ†’ Prioritize Steps โ†’ Execute Sequentially โ†’ Verify Completion Tool-Using Agent โ†’ Understand Request โ†’ Select Appropriate Tool โ†’ Execute Tool โ†’ Collect Results โ†’ Generate Final Answer Retrieval-Augmented Generation (RAG) Agent โ†’ Receive Query โ†’ Search Knowledge Base โ†’ Retrieve Relevant Documents โ†’ Combine Context with LLM โ†’ Generate Accurate Response Multi-Agent Architecture โ†’ Coordinator Agent โ†’ Task Distribution โ†’ Specialist Agents โ†’ Merge Results โ†’ Final Response Memory-Based Agent โ†’ Receive Request โ†’ Retrieve Previous Context โ†’ Combine with Current Input โ†’ Reason Using Memory โ†’ Produce Personalized Output Autonomous Agent โ†’ Define Objective โ†’ Plan Tasks โ†’ Execute Actions โ†’ Monitor Progress โ†’ Adapt Strategy โ†’ Complete Objective AI Agent Workflow โ†’ User Goal โ†’ Input Processing โ†’ Context Retrieval โ†’ Planning โ†’ Reasoning โ†’ Tool Execution โ†’ Validation โ†’ Final Output Popular AI Agent Design Patterns โ†’ Reflection Pattern โ†’ Planning Pattern โ†’ ReAct Pattern โ†’ Tool Calling Pattern โ†’ Multi-Agent Collaboration โ†’ Human-in-the-Loop โ†’ Self-Correction Pattern Best Practices โ†’ Keep prompts modular. โ†’ Use memory only when necessary. โ†’ Validate tool outputs. โ†’ Implement error handling. โ†’ Log every important action. โ†’ Limit unnecessary tool calls. โ†’ Protect sensitive data. โ†’ Continuously evaluate agent performance. Common Tech Stack โ†’ Python โ†’ LangGraph โ†’ LangChain โ†’ OpenAI API โ†’ Anthropic API โ†’ FastAPI โ†’ Vector Database โ†’ PostgreSQL โ†’ Redis โ†’ Docker Learning Path โ†’ Learn Python โ†’ Understand LLM Fundamentals โ†’ Master Prompt Engineering โ†’ Learn Tool Calling โ†’ Build RAG Applications โ†’ Implement Memory Systems โ†’ Create Multi-Agent Systems โ†’ Deploy AI Agents Grab the Building AI Agent from Scratch ebook: https://t.co/SWCKKtbPNm
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tut_ml Verified account @tut_ml
Best Statistics Courses- https://t.co/b6aXdG3lVf @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #AgenticAI #AIAgent
tut_ml's tweet photo. Best Statistics Courses- https://t.co/b6aXdG3lVf @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #AgenticAI #AIAgent
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Python Programming Verified account @PythonPr
Python Beginners CheatSheet
PythonPr's tweet photo. Python Beginners CheatSheet https://t.co/HMtDsMxah6
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Rimsha Bhardwaj Verified account @heyrimsha
BREAKING: Anthropic just open-sourced their entire playbook for building production AI agents. It's called Agent Skills for Context Engineering and it's what their engineers actually use. - Context fundamentals & degradation patterns - Multi-agent architectures - Memory systems design - Tool design principles - Evaluation frameworks MIT licensed. 100% Opensource.
heyrimsha's tweet photo. BREAKING: Anthropic just open-sourced their entire playbook for building production AI agents. It's called Agent Skills for Context Engineering and it's what their engineers actually use. - Context fundamentals & degradation patterns - Multi-agent architectures - Memory systems design - Tool design principles - Evaluation frameworks MIT licensed. 100% Opensource.
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Yuqiang Xie
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AI Researcher focusing on storytelling and cognitive modeling. Ph.D. in NLP at IIE, CAS.
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AlgoMaster.io Verified account @algomaster_io
12 must-know Object-Oriented Programming (OOP) concepts: 1. ๐‚๐ฅ๐š๐ฌ๐ฌ 2. ๐Ž๐›๐ฃ๐ž๐œ๐ญ 3. ๐ˆ๐ง๐ญ๐ž๐ซ๐Ÿ๐š๐œ๐ž 4. ๐„๐ง๐œ๐š๐ฉ๐ฌ๐ฎ๐ฅ๐š๐ญ๐ข๐จ๐ง 5. ๐€๐›๐ฌ๐ญ๐ซ๐š๐œ๐ญ๐ข๐จ๐ง 6. ๐ˆ๐ง๐ก๐ž๐ซ๐ข๐ญ๐š๐ง๐œ๐ž 7. ๐๐จ๐ฅ๐ฒ๐ฆ๐จ๐ซ๐ฉ๐ก๐ข๐ฌ๐ฆ 8. ๐€๐ฌ๐ฌ๐จ๐œ๐ข๐š๐ญ๐ข๐จ๐ง 9. ๐€๐ ๐ ๐ซ๐ž๐ ๐š๐ญ๐ข๐จ๐ง 10. ๐‚๐จ๐ฆ๐ฉ๐จ๐ฌ๐ข๐ญ๐ข๐จ๐ง 11. ๐ƒ๐ž๐ฉ๐ž๐ง๐๐ž๐ง๐œ๐ฒ 12. ๐‘๐ž๐š๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง (๐ˆ๐ฆ๐ฉ๐ฅ๐ž๐ฆ๐ž๐ง๐ญ๐š๐ญ๐ข๐จ๐ง) โ™ป๏ธ Repost to help others learn this
algomaster_io's tweet photo. 12 must-know Object-Oriented Programming (OOP) concepts: 1. ๐‚๐ฅ๐š๐ฌ๐ฌ 2. ๐Ž๐›๐ฃ๐ž๐œ๐ญ 3. ๐ˆ๐ง๐ญ๐ž๐ซ๐Ÿ๐š๐œ๐ž 4. ๐„๐ง๐œ๐š๐ฉ๐ฌ๐ฎ๐ฅ๐š๐ญ๐ข๐จ๐ง 5. ๐€๐›๐ฌ๐ญ๐ซ๐š๐œ๐ญ๐ข๐จ๐ง 6. ๐ˆ๐ง๐ก๐ž๐ซ๐ข๐ญ๐š๐ง๐œ๐ž 7. ๐๐จ๐ฅ๐ฒ๐ฆ๐จ๐ซ๐ฉ๐ก๐ข๐ฌ๐ฆ 8. ๐€๐ฌ๐ฌ๐จ๐œ๐ข๐š๐ญ๐ข๐จ๐ง 9. ๐€๐ ๐ ๐ซ๐ž๐ ๐š๐ญ๐ข๐จ๐ง 10. ๐‚๐จ๐ฆ๐ฉ๐จ๐ฌ๐ข๐ญ๐ข๐จ๐ง 11. ๐ƒ๐ž๐ฉ๐ž๐ง๐๐ž๐ง๐œ๐ฒ 12. ๐‘๐ž๐š๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง (๐ˆ๐ฆ๐ฉ๐ฅ๐ž๐ฆ๐ž๐ง๐ญ๐š๐ญ๐ข๐จ๐ง) โ™ป๏ธ Repost to help others learn this
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Neo Kim Verified account @systemdesignone
Give me 2 mins and I'll teach you how Uber compute ETA:
systemdesignone's tweet photo. Give me 2 mins and I'll teach you how Uber compute ETA: https://t.co/vFEyrhwFZC
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tut_ml Verified account @tut_ml
FREE ML Courses- https://t.co/JFjZRZQQIY @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #AgenticAI #AIAgent
tut_ml's tweet photo. FREE ML Courses- https://t.co/JFjZRZQQIY @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #AgenticAI #AIAgent
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Daily Dose of Data Science Verified account @DailyDoseOfDS_
7 patterns to build multi-agent systems:
DailyDoseOfDS_'s tweet photo. 7 patterns to build multi-agent systems: https://t.co/HR9edZn15f
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Python Programming Verified account @PythonPr
Mathematical Formulas in Machine Learning & Deep Learning
PythonPr's tweet photo. Mathematical Formulas in Machine Learning & Deep Learning https://t.co/NmU7gtikpX
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Python Programming Verified account @PythonPr
The 4 Types Of SQL Joins Image Credit- ByteByteGo
PythonPr's tweet photo. The 4 Types Of SQL Joins Image Credit- ByteByteGo https://t.co/4y6WsBldeW
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Tech Fusionist Verified account @techyoutbe
Kubernetes - Cheat Sheet
techyoutbe's tweet photo. Kubernetes - Cheat Sheet https://t.co/9utbhz3Z4j
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Python Coding Verified account @clcoding
Mathematical function using Python Mathematics with Python Solving Problems and Visualizingย Concepts https://t.co/RUFjUBLPaN
clcoding's tweet photo. Mathematical function using Python Mathematics with Python Solving Problems and Visualizingย Concepts https://t.co/RUFjUBLPaN https://t.co/1LpiGLlOS1
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Avi Chawla Verified account @_avichawla
4 strategies LLMs use to generate text:
_avichawla's tweet photo. 4 strategies LLMs use to generate text: https://t.co/6hC91tkmbo
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Daily Dose of Data Science Verified account @DailyDoseOfDS_
vLLM got a major upgrade! Originally built for autoregressive text-based LLM serving, vLLM-Omni now lets you serve text, image, video, and audio models - all from a single framework. You can also serve diffusion models for fast parallel generation. 100% open-source.
DailyDoseOfDS_'s tweet photo. vLLM got a major upgrade! Originally built for autoregressive text-based LLM serving, vLLM-Omni now lets you serve text, image, video, and audio models - all from a single framework. You can also serve diffusion models for fast parallel generation. 100% open-source. https://t.co/O2eZaBvd9f
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Neo Kim Verified account @systemdesignone
I struggled with software development until I understood this lifecycle: 1 Planning โ†ณ Create goals, scope, and requirements of the project โ†ณ Set up timelines & resources 2 Analysis โ†ณ Check technical and financial costs โ†ณ Do risk analysis to understand potential challenges 3 System Design โ†ณ Create system architecture and user experience blueprint โ†ณ Ensure compatibility and usability across platforms 4 Development โ†ณ Create code using best practices โ†ณ Use simple & proven tech 5 Testing โ†ณ Run tests in a browser to catch and fix bugs early โ†ณ Run unit, integration, and system tests to find failures 6 Deployment โ†ณ Automate deployment scripts and monitoring alerts โ†ณ Release builds to production with feature flags or staged rollouts 7 Maintenance โ†ณ Apply updates and fixes to keep the system reliable โ†ณ Automate monitoring and reporting What else would you add? โ€”โ€” ๐Ÿ‘‹ PS - Want my System Design Playbook for FREE? Click the link below to join my newsletter right now: โ†’ https://t.co/ByOFTtOihX (200K+ software engineers have already signed up.) โ€”โ€”โ€” ๐Ÿ’พ Save this for later & RT to help others become good software engineers. ๐Ÿ‘ค Follow @systemdesignone + turn on notifications.
systemdesignone's tweet photo. I struggled with software development until I understood this lifecycle: 1 Planning โ†ณ Create goals, scope, and requirements of the project โ†ณ Set up timelines & resources 2 Analysis โ†ณ Check technical and financial costs โ†ณ Do risk analysis to understand potential challenges 3 System Design โ†ณ Create system architecture and user experience blueprint โ†ณ Ensure compatibility and usability across platforms 4 Development โ†ณ Create code using best practices โ†ณ Use simple & proven tech 5 Testing โ†ณ Run tests in a browser to catch and fix bugs early โ†ณ Run unit, integration, and system tests to find failures 6 Deployment โ†ณ Automate deployment scripts and monitoring alerts โ†ณ Release builds to production with feature flags or staged rollouts 7 Maintenance โ†ณ Apply updates and fixes to keep the system reliable โ†ณ Automate monitoring and reporting What else would you add? โ€”โ€” ๐Ÿ‘‹ PS - Want my System Design Playbook for FREE? Click the link below to join my newsletter right now: โ†’ https://t.co/ByOFTtOihX (200K+ software engineers have already signed up.) โ€”โ€”โ€” ๐Ÿ’พ Save this for later & RT to help others become good software engineers. ๐Ÿ‘ค Follow @systemdesignone + turn on notifications.
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tut_ml Verified account @tut_ml
Best AI Agent Courses- https://t.co/hvLn6pDJlp @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #AgenticAI #AIAgent
tut_ml's tweet photo. Best AI Agent Courses- https://t.co/hvLn6pDJlp @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #AgenticAI #AIAgent
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Python Programming Verified account @PythonPr
Top 5 Types of AI Agents!
PythonPr's tweet photo. Top 5 Types of AI Agents! https://t.co/ddMWOQLkcs
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Python Programming Verified account @PythonPr
Python Command Cheatsheet
PythonPr's tweet photo. Python Command Cheatsheet https://t.co/zuvR2rlRrz
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๐—ฟ๐—ฎ๐—บ๐—ฎ๐—ธ๐—ฟ๐˜‚๐˜€๐—ต๐—ป๐—ฎโ€” ๐—ฒ/๐—ฎ๐—ฐ๐—ฐ Verified account @techwith_ram
These are cheat sheets on machine learning, deep learning, statistics, and linear algebra by Stanford. Check these all here: https://t.co/uxrydwBL3J
techwith_ram's tweet photo. These are cheat sheets on machine learning, deep learning, statistics, and linear algebra by Stanford. Check these all here: https://t.co/uxrydwBL3J https://t.co/eMtDdgdwKN
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tut_ml Verified account @tut_ml
Best Statistics Courses- https://t.co/b6aXdG3lVf @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #AgenticAI #AIAgent
tut_ml's tweet photo. Best Statistics Courses- https://t.co/b6aXdG3lVf @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #AgenticAI #AIAgent
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