- π§ Building a neural network system inspired by the human brain.
- π€ Exploring tokenization, embeddings, attention, and scaling laws from scratch.
- βοΈ Dev + DevOps hybrid: End-to-end expertise from writing code to deploying it on Kubernetes.
- π οΈ Open-source enthusiast | Blogging on Medium
- π¬ Ask me about:
LLMs
,Embeddings
,Vector Databases
,Cloud
,Java
,System Design
,Python
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react-agents
react-agents Publicπ€ Advanced AI agent system combining ReAct reasoning and Plan-Execute strategies with unified memory, reflection patterns, and browser automation tools. Built with LangGraph, LangChain, and Google β¦
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octopus-prime
octopus-prime PublicPerceptron-based neural models with tokenization, embeddings, and a minimal language model exploring foundations of LLMs
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agent-implementation
agent-implementation PublicForked from mattambrogi/agent-implementation
Basic ReAct agent implementation in Python from scratch
Python
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all-rag-techniques
all-rag-techniques PublicForked from hemmydev/all-rag-techniques
Implementation of all RAG techniques in a simpler way
Jupyter Notebook
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cline
cline PublicForked from cline/cline
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
TypeScript
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theLMbook
theLMbook PublicForked from SohamRatnaparkhi/theLMbook
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
Jupyter Notebook
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