How Agents test Agents, clearly explained (with code): ...

Model Fine-tuning Overview - The document outlines the process of fine-tuning models like DeepSeek-R1 [1] - The process includes dataset preparation, LoRA configuration, trainer definition, fine-tuning, and exporting to Ollama [1] Technical Implementation - The fine-tuning process of DeepSeek-R1 (distilled Llama) can be done 100% locally [1]

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.Avi Chawla (@_avichawla):Let's fine-tune DeepSeek-R1 (distilled Llama) 100% locally: ...

We have fine-tuned DeepSeek (distilled Llama).Now we can interact with it like any other model running on Ollama using:- The CLI- Ollama's Python package- Ollama's LlamaIndex integration, etc. https://t.co/bCNUqtLgaJ ...

Let's fine-tune DeepSeek-R1 (distilled Llama) 100% locally: ...

Algorithm Highlight - KMeans clustering animation shared [1] Educational Resource - 3Blue1Brown style animation used for demonstration [1]

A @3blue1brown style animation of KMeans clustering: https://t.co/aGs15e2YaR ...

MCP标准与架构 - MCP (Message Communication Protocol) 旨在标准化 Agent 与 Tool 之间的通信 [1] - 行业正在构建一个完全本地化的 MCP 服务器 [1] - 该服务器将与 Claude Desktop 集成 [1] 技术实现 - 重点在于本地 MCP 服务器的构建 [1] - 涉及浏览器 MCP 服务器与 Claude Desktop 的集成 [1]

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.Avi Chawla (@_avichawla):Let's build an MCP server (100% locally): ...

Next, let's interact with this MCP server.When asked to find the cheapest flight from one city to another:- It navigated to Google.- Typed in the query.- Scraped the relevant information.- Returned the info to Claude Desktop to generate a response.See this video👇 https://t.co/XTaBL8l2bC ...