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GeezerVison is showing github.com โ€” ksm26 - Overview

@ksm26 ksm26 Follow
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@ksm26
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๐Ÿ’ช
Research Engineer at INRIA

Khushdeep-singh ksm26

๐Ÿ’ช
Research Engineer at INRIA
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AI Engineer @WeRize | Ex- @INRIA | MS- Autonomous Systems TUB + KTH | Master thesis @bethgelab
124 followers ยท 9 following
  • @WeRize
  • Bengaluru, India
  • https://www.linkedin.com/in/ksm25/
  • https://scholar.google.com/citations?user=Sh5E_NIAAAAJ&hl=de

Achievements

Achievement: Starstruckx2Achievement: Pull Shark

Achievements

Achievement: Starstruckx2Achievement: Pull Shark

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@IvLabs
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ksm26/README.md

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Top Langs

Skills:

Programming : Python C++ C Java LaTeX

Deep Learning: PyTorch

Large Language Models: ChatGPT LangChain Prompt Engineering

ML Deployment: ONNX TensorRT

IDEs: VS Code PyCharm

CI/CD Development: Git GitHub GitLab

Software Frameworks: ROS Gazebo Docker

Operating Systems: Linux Ubuntu

Popular repositories Loading

  1. LangChain-Chat-with-Your-Data LangChain-Chat-with-Your-Data Public

    Explore LangChain and build powerful chatbots that interact with your own data. Gain insights into document loading, splitting, retrieval, question answering, and more.

    Jupyter Notebook 193 115

  2. Multi-AI-Agent-Systems-with-crewAI Multi-AI-Agent-Systems-with-crewAI Public

    Master the art of designing and organizing AI agents. Learn to automate complex, multi-step business processes by creating specialized AI agent teams using the open-source library crewAI.

    Jupyter Notebook 171 62

  3. LangChain-for-LLM-Application-Development LangChain-for-LLM-Application-Development Public

    Apply LLMs to your data, build personal assistants, and expand your use of LLMs with agents, chains, and memories.

    Jupyter Notebook 157 76

  4. AI-Agentic-Design-Patterns-with-AutoGen AI-Agentic-Design-Patterns-with-AutoGen Public

    Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.

    Jupyter Notebook 149 40

  5. AI-Agents-in-LangGraph AI-Agents-in-LangGraph Public

    Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.

    Jupyter Notebook 82 26

  6. chatGPT-Prompt-Engineering-for-Developers chatGPT-Prompt-Engineering-for-Developers Public

    Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.

    Jupyter Notebook 81 41

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