If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning! Check my illustrated MCP explainer:
@akshay_pachaar
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FastAPI MCP Server: Convert Endpoints to MCP Tools
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🔟 FastAPI MCP server
— Akshay 🚀 (@akshay_pachaar) 11 avril 2025
A zero-config tool for automatically convert FastAPI endpoints as MCP tools and use them with Clause, Cursor or any MCP client
100% open-source. pic.twitter.com/kQNcH43WoUFastAPI MCP server A zero-config tool for automatically convert FastAPI endpoints as MCP tools and use them with Clause, Cursor or any MCP client 100% open-source.
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Browserbase MCP Server Enables Human-Like Browsing for Agents
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@browserbase
's MCP Server This server lets agents mimic human-like browsing using headless browsers. You can order food, book hotels or flights, and do anything else you can imagine. Check this out https://
github.com/browserbase/mc
p-server-browserbase
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Share AI Mathematics Machine Learning Insights and Tutorials
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If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on AI, Mathematics and Machine Learning!
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Eigenvalues and Eigenvectors in PCA: Physical Significance
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Physical Significance! From Google's PageRank algorithm to PCA they're everywhere! In PCA, eigenvalues quantify data variance captured by each principal component, while eigenvectors define the directions of maximum variance. Implementation below uses eigenvector/values:
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Eigenvalues and Eigenvectors: Clear Explanation
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Eigenvalues and eigenvectors, clearly explained:
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Share AI and Machine Learning Insights with Your Network
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If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on AI and Machine Learning!
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Get Started with Gemma LLM Documentation
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Get started here: https://
gemma-llm.readthedocs.io/en/latest/ -
Gemma 3: Open-Source Python Library for Fine-Tuning LLMs
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Python library to fine-tune Gemma 3! Gemma is a minimal library for using and fine-tuning Gemma. Includes docs on fine-tuning, sharding, LoRA, PEFT, multimodality and tokenization in LLMs. 100% open-source.
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Opik Stands Out Among 10+ Tested Frameworks
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I have tried 10+ different frameworks, haven’t found anything better than Opik!