Avi Chawla

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Avi Chawla· 2025-07-06 06:31
Now you can supercharge your terminal with MCP servers (open-source).MCP CLI lets you interact with local and remote MCP servers, built with a rich UI, and full LLM provider integration.You can run tools, manage conversations, or automate workflows directly from your terminal.Key features:- Multiple interaction modes: Chat, Interactive shell, Command mode, etc.- Live output with markdown, syntax highlighting, etc.- Tooling support: Auto-discovery, concurrent execution, and more.- Seamlessly switch between O ...
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Avi Chawla· 2025-07-05 19:26
Data Science Definitions - Data science focuses on mathematical definitions [1] - The field highlights 25 key mathematical definitions [1] Resource Sharing - A question is posed regarding additional definitions to include [1] - A link is provided for further exploration of mathematical definitions in data science [1]
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Avi Chawla· 2025-07-05 06:30
Core Focus - Data science emphasizes the importance of mathematical definitions [1] Key Areas - The field highlights 25 critical mathematical definitions for data science applications [1]
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Avi Chawla· 2025-07-04 18:54
RT Avi Chawla (@_avichawla)6 no-code LLMs, Agents, and RAG builder tools for AI engineers:(open-source and production-grade) ...
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Avi Chawla· 2025-07-04 06:48
AI Tools & Resources - Recommends resharing insightful content related to DS, ML, LLMs, and RAGs [1] - Highlights 6 no-code LLMs, Agents, and RAG builder tools for AI engineers [1] - Focuses on open-source and production-grade AI tools [1] Author Information - Identifies Avi Chawla (@_avichawla) as a source of tutorials and insights [1]
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Avi Chawla· 2025-07-04 06:48
Links:- RAGFlow: https://t.co/LtSlnL8yxe- Xpander: https://t.co/wohmbgRpPi- Transformer Lab: https://t.co/E9AJqvNTh1- Llama Factory: https://t.co/7ixKJrhQRv- LangFlow: https://t.co/zWay03JAyY- AutoAgent: https://t.co/ZTcsz2Rqxv https://t.co/VEY6gXtBYp ...
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Avi Chawla· 2025-07-04 06:47
6 no-code LLMs, Agents, and RAG builder tools for AI engineers:(open-source and production-grade) ...
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Avi Chawla· 2025-07-03 19:22
uv is incredibly fast!- Creating virtual envs. with uv is ~80x faster than python -m venv.- Package installation is 4–12x faster without caching, and ~100x with caching.Check a detailed guide to uv in the thread below: https://t.co/fhaBTZ1IEcAvi Chawla (@_avichawla):uv in Python, clearly explained (with code): ...
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Avi Chawla· 2025-07-03 06:30
General Information - The content is a recommendation to reshare insightful information with one's network [1] - It promotes tutorials and insights on Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval Augmented Generation (RAGs) [1] - It highlights a clear explanation of uv in Python with code [1]
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Avi Chawla· 2025-07-03 06:30
And that is how you can start using uv.Note: When you push your project to GitHub, DO NOT add the uv[.]lock file to your gitignore file. This helps uv reproduce the environment when others use your project.Here is the cheatsheet again for your reference 👇 https://t.co/oTJeaeQEfC ...