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Jaykef/README.md

👋 Hi, here is a little bit about me:)

I'm Jaward Sesay, a CS grad student at Beijing Institute of Technology specializing in AI/ML research, with focus on Autonomous Agents and Large Language Models. Earlier in my AI journey, I had the honour of co-authoring my first paper (AutoAgents) with leading researchers, this paper was later accepted at IJCAI 2024. I am a devoted open-source/open-science contributor with projects that the open-source community love (GitHub | HuggingFace). Currently, I'm building my first AI startup Lectūra Labs — an AI+Education lab focused on research and development of AI-native tools and models that empower individual learners to master needed self-taught skills. My AI journey began after watching Andrej Karpathy's "Neural Networks - Zero to Hero" — he's been my role-model/sensei ever since. I weekly practice implementing groundbreaking AI papers & algorithms from first principles, often under compute constrained conditions (i.e gpu poor, training nns on 8gb cpu), you can checkout the repo here: nanoAI Algorithms. I often post about my work on Twitter and Huggingface, stay in touch.

📚 Publications

AutoAgents Voila Thinking Machines
AutoAgents: A Framework for Automatic Agent Generation
Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje Karlsson, Jie Fu, Yemin Shi
📄 Paper | 💻 Code | IJCAI 2024		 Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play
Yemin Shi, Yu Shu, Siwei Dong, Guangyi Liu, Jaward Sesay, Jingwen Li, Zhiting Hu
📄 Paper | 🤗 Models | 💻 Code | 🤗 Demo		 The Dawn of Thinking Machines: An Overview on Large Reasoning Models
Jaward Sesay – Solo Preprint (Apr 28, 2025)
📄 Paper

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  1. Link-AGI/AutoAgents Link-AGI/AutoAgents Public

    [IJCAI 2024] Generate different roles for GPTs to form a collaborative entity for complex tasks.

    Python 1.4k 166

  2. ai-algorithms ai-algorithms Public

    First-principle implementations of groundbreaking AI algorithms using a wide range of deep learning frameworks, accompanied by supporting research papers and demos.

    Jupyter Notebook 170 10

  3. mlx-rag-gguf mlx-rag-gguf Public

    Minimal, clean code implementation of RAG with mlx using gguf model weights

    Python 52 1

  4. micrograd.c micrograd.c Public

    Port of Karpathy's micrograd in pure C. Micrograd is a tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.

    C 31 2

  5. AvaChat AvaChat Public

    AvaChat - is a realtime AI chat demo with animated talking heads - it uses Large Language Models via api (OpenAI and Claude) as text inputs to D-ID's image-to-video talking head model (via D-ID str…

    JavaScript 104 24

  6. Triton-nanoGPT Triton-nanoGPT Public

    Custom triton kernels for training Karpathy's nanoGPT.

    Python 19