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Avi Chawla
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Avi Chawla· 2025-09-13 06:30
Get a free visual guidebook to learn MCPs from scratch (with 11 projects): https://t.co/v3cQWlQtR4. ...
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Avi Chawla· 2025-09-13 06:30
Core Concept of MCP - MCP (Multi-tool Control Plane) aims to reduce the integration complexity between LLM applications and tools [1] - Without MCP, the number of integrations required is M×N, where M is the number of LLM apps and N is the number of tools [1] - With MCP, the number of integrations is reduced to M+N, significantly simplifying the integration process [1] MCP Implementation - The proposed solution involves creating an MCP server for each tool [1] - LLM applications can then plug into the MCP server [1]
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Avi Chawla· 2025-09-12 20:01
RT Avi Chawla (@_avichawla)- All Meta Llama models use Attention- All OpenAI GPT models use Attention- All Alibaba Qwen models use Attention- All Google Gemma models use AttentionLet's learn how to implement it from scratch: ...
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Avi Chawla· 2025-09-12 06:31
模型架构 - 所有 Meta Llama 模型都使用 Attention 机制 [1] - 所有 OpenAI GPT 模型都使用 Attention 机制 [1] - 所有 Alibaba Qwen 模型都使用 Attention 机制 [1] - 所有 Google Gemma 模型都使用 Attention 机制 [1]
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Avi Chawla· 2025-09-12 06:31
Inference/Generation Process - Autoregressive generation is used step-by-step during inference [1] - The encoder runs once, while the decoder runs multiple times [1] - Each step utilizes previous predictions to generate the next token [1]
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Avi Chawla· 2025-09-12 06:30
模型架构 - Meta Llama 模型全部使用 Attention 机制 [1] - OpenAI GPT 模型全部使用 Attention 机制 [1] - Alibaba Qwen 模型全部使用 Attention 机制 [1] - Google Gemma 模型全部使用 Attention 机制 [1]
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Avi Chawla· 2025-09-11 19:53
Context Engineering Workflow - The industry focuses on building a context engineering workflow step by step [1] - The industry highlights the importance of context engineering [1]
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Avi Chawla· 2025-09-11 06:33
That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. https://t.co/XSbmekHfM6Avi Chawla (@_avichawla):Let's build a context engineering workflow, step by step: ...
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Avi Chawla· 2025-09-11 06:33
AI Infrastructure Tools - Tensorlake enables transformation of unstructured documents into AI-ready data [1] - Zep facilitates building human-like memory for Agents [1] - Firecrawl empowers LLM applications with clean web data [1] - Milvus provides a high-performance vector DB for scalable vector search [1]
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Avi Chawla· 2025-09-11 06:30
Workflow Construction - The document focuses on building a context engineering workflow step by step [1]