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@akshay_pachaar
"Model Context Protocol (MCP) clearly explained:"
@akshay_pachaar on X 2025-06-13 12:34:10 UTC 215.1K followers, 1.1M engagements
"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" @akshay_pachaar on X 2025-07-16 13:03:26 UTC 215K followers, 4501 engagements
"Transformer vs. Mixture of Experts in LLMs clearly explained (with visuals):" @akshay_pachaar on X 2025-07-21 12:30:03 UTC 215.1K followers, 202.2K engagements
"MCP allows AI agents to connect with external tools and data sources through a plugin-like architecture. It's rapidly taking over the AI agent landscape with millions of requests processed daily. But there's a serious problem. 👇" @akshay_pachaar on X 2025-07-20 13:34:50 UTC 215.1K followers, 14.6K engagements
"Challenge 1) Notice this pattern at the start of training: - The model selects "Expert 2" - The expert gets a bit better - It may get selected again - The expert learns more - It gets selected again - It learns more - And so on Many experts go under-trained" @akshay_pachaar on X 2025-07-21 12:30:39 UTC 215.1K followers, 3100 engagements
"Let's build a multi-agent content creation system (100% local):" @akshay_pachaar on X 2025-07-16 13:02:18 UTC 215.1K followers, 116K engagements
"@_avichawla Great step-by-step breakdown on LLM finetuning 👏" @akshay_pachaar on X 2025-07-21 06:42:03 UTC 215.1K followers, 4593 engagements
"KV caching is a technique used to speed up LLM inference. Before understanding the internal details look at the inference speed difference in the video: - with KV caching X seconds - without KV caching XX seconds (5x slower) Let's dive in" @akshay_pachaar on X 2025-05-29 13:03:26 UTC 215K followers, 18.7K engagements
"Before we dive in here's a quick demo of what we're building Tech stack: - @motiadev as the unified backend framework - @firecrawl_dev to scrape web content - @ollama to locally serve Deepseek-R1 LLM The only AI framework you'll ever need to learn 🚀" @akshay_pachaar on X 2025-07-16 13:02:19 UTC 215K followers, 3701 engagements
"Let's build an MCP-powered financial analyst (100% local):" @akshay_pachaar on X 2025-05-27 14:31:23 UTC 215.1K followers, 563.6K engagements
"10 MCP AI Agents and RAG projects for AI Engineers (with code):" @akshay_pachaar on X 2025-07-18 12:52:07 UTC 215.1K followers, 265.2K engagements
"Drag-and-drop UI to build AI agent workflows Sim Studio is a lightweight user-friendly platform that makes creating AI agent workflows accessible to everyone. Supports all major LLMs MCP servers vectorDBs etc. XXX% open-source" @akshay_pachaar on X 2025-07-06 12:31:37 UTC 215.1K followers, 92K engagements
"🔟 AI Engineering Hub To truly master LLMs RAG and AI agents you need projects. AI Engineering Hub covers 70+ real-world examples tutorials and agent applications you can actually build adapt and ship. Check this 👇" @akshay_pachaar on X 2025-07-17 12:32:57 UTC 214.6K followers, 2237 engagements
"10 GitHub repos to build a career in AI engineering. It covers: - Basics of AI/ML - Neural networks - Research paper implementations - MLOps - LLMs/RAG/Agents etc. Check the XXX% free roadmap in the thread below:" @akshay_pachaar on X 2025-07-18 07:36:32 UTC 215.1K followers, 65.9K engagements
"Temperature in LLMs clearly explained (with code):" @akshay_pachaar on X 2025-07-07 12:36:35 UTC 215.1K followers, 263.9K engagements
"10 GitHub repos that will set you up for a career in AI engineering (100% free):" @akshay_pachaar on X 2025-07-17 12:32:17 UTC 215.1K followers, 249.7K engagements
"2 AI for Beginners by Microsoft This repo covers neural networks NLP CV transformers ethics & more. There are hands-on labs in PyTorch & TensorFlow using jupyter notebooks. Beginner-friendly project-based and full of real-world applications. Check this 👇" @akshay_pachaar on X 2025-07-17 12:32:27 UTC 215.1K followers, 6642 engagements
"MCP is on fire. AI agents can now talk to real world tools apps and actually get stuff done. This changes everything. Here are XX amazing examples:" @akshay_pachaar on X 2025-07-11 12:28:46 UTC 215.1K followers, 271.6K engagements
"MCP is on fire. AI agents can now talk to real world tools apps and actually get stuff done. This changes everything. Here are XX amazing examples:" @akshay_pachaar on X 2025-04-11 12:30:08 UTC 215.1K followers, 717.6K engagements
"Let's build an MCP server that connects to 200+ data sources (100% local):" @akshay_pachaar on X 2025-05-30 14:05:56 UTC 215.1K followers, 413.2K engagements
"7 Advanced RAG Techniques Hands-on LLMs will give you a good grasp of RAG systems. Now learn advanced RAG techniques. This repo covers 30+ methods to make RAG systems faster smarter and more accurate like HyDE GraphRAG Vision RAG etc. Check this 👇" @akshay_pachaar on X 2025-07-17 12:32:46 UTC 214.7K followers, 2987 engagements
"AI Engineering Hub just crossed 10k GitHub stars Its XXX% open-source and hosts 70+ free hands-on demos. Here are XX MCP RAG and AI Agents projects for AI engineers:" @akshay_pachaar on X 2025-06-20 12:30:36 UTC 215.1K followers, 287.5K engagements
"Microsoft just changed the game 🔥 They've open-sourced bitnet.cpp: a blazing-fast 1-bit LLM inference framework that runs directly on CPUs. Why is this a game-changer❓ You can now run 100B parameter models on local devices with up to 6x speed improvements and XX% less energy consumptionall without a GPU The future we've been waiting for: fast efficient and private AI that works anytime anywhere.✨ The model is also available on HuggingFace you can try it right away I've shared Link to the GitHub repo in next tweet where you'll find all the details. _____ Find me @akshay_pachaar ✔ For more" @akshay_pachaar on X 2025-05-12 12:45:48 UTC 215.1K followers, 525K engagements
"MLOps feels broken when it comes to AI agents ZenML bridges the gap between classical ML and modern AI giving you one unified framework for your entire AI stack. Here's why it's revolutionary: 🔄 Same MLOps principles for models AND agents ⚡ Pipeline everything from sklearn to LangGraph 🎯 Data-driven agent architecture decisions 📊 Full observability with LiteLLM & Langfuse 🗂 Version prompts like you version datasets But that's not all: 💬 Chat with your pipelines using natural language 🔧 Wrap existing code with simple @ step decorators ☁ Deploy locally or scale to Kubernetes 🤝 Integrates" @akshay_pachaar on X 2025-07-19 16:30:00 UTC 215.1K followers, 16.4K engagements
"I have tested 100+ MCP servers in the last X months Here are X must-use MCP servers for all developers (open-source):" @akshay_pachaar on X 2025-06-28 13:36:33 UTC 215.1K followers, 538.5K engagements
"Challenge 2) Some experts may get exposed to more tokens than othersleading to under-trained experts. We prevent this by limiting the number of tokens an expert can process. If an expert reaches the limit the input token is passed to the next best expert instead" @akshay_pachaar on X 2025-07-21 12:30:47 UTC 215.1K followers, 2273 engagements
"1 MCP meets Ollama In this video you'll learn how build a XXX% local MCP client that you can connect to any MCP server. XXX% open-source code step-by-step guide:" @akshay_pachaar on X 2025-07-18 12:52:09 UTC 215.1K followers, 8090 engagements
"1 ML for Beginners by Microsoft A 12-week project-based curriculum that teaches classical ML using real-world datasets using Scikit-learn. Includes quizzes R/Python lessons and hands-on projects. Some of the lessons are available as short-form videos. Check this👇" @akshay_pachaar on X 2025-07-17 12:32:23 UTC 215.1K followers, 7605 engagements
"To understand KV caching we must know how LLMs output tokens. - Transformer produces hidden states for all tokens. - Hidden states are projected to vocab space. - Logits of the last token is used to generate the next token. - Repeat for subsequent tokens. Check this👇" @akshay_pachaar on X 2025-05-29 13:03:31 UTC 215K followers, 16.6K engagements
"We solve this in two steps: - Add noise to the feed-forward output of the router so that other experts can get higher logits. - Set all but top K logits to -infinity. After softmax these scores become zero. This way other experts also get the opportunity to train" @akshay_pachaar on X 2025-07-21 12:30:44 UTC 215.1K followers, 2658 engagements
"A Crash Course on Building AI Agents Here's what it covers: - What is an AI agent - Connecting agents to tools - Overview of MCP - Replacing tools with MCP servers - Setting up observability and tracing All with XXX% open-source tools" @akshay_pachaar on X 2025-07-12 12:32:00 UTC 215.1K followers, 112.3K engagements
"Containerized versions of 450+ MCP servers MCP Containers bundles hundreds of Model Context Protocol servers into ready-to-run Docker imagesno setup headaches no version drift. XXX% open-source and secure" @akshay_pachaar on X 2025-07-13 12:43:15 UTC 215.1K followers, 91.9K engagements
"@_avichawla Connect any LLM to any MCP server + XXX% local MCP clients Thanks for sharing Avi 🙌" @akshay_pachaar on X 2025-07-22 06:35:22 UTC 215.1K followers, 1628 engagements
"10 MCP AI Agents and RAG projects for AI Engineers (with code):" @akshay_pachaar on X 2025-07-19 07:30:00 UTC 215.1K followers, 81.5K engagements
"ML researchers just built a new ensemble technique. It even outperforms XGBoost CatBoost and LightGBM. Here's a complete breakdown (explained visually):" @akshay_pachaar on X 2025-07-14 12:34:24 UTC 215.1K followers, 399.1K engagements
"A RAG engine for deep document understanding RAGFlow lets you build enterprise-grade RAG workflows on complex docs with well-founded citations. Supports multimodal data understanding web search deep research etc. XXX% local & open-source with 55k+ stars" @akshay_pachaar on X 2025-06-24 07:39:13 UTC 215.1K followers, 83.7K engagements
"MCP security is completely broken Let's understand tool poisoning attacks and how to defend against them:" @akshay_pachaar on X 2025-07-20 13:34:49 UTC 215.1K followers, 458K engagements
"4 MCP powered Agentic RAG In this project you'll learn how to build your own MCP server It connects to Cursor & performs deep web searches as well as RAG over a specified directory. XXX% open-source code with a step-by-step guide:" @akshay_pachaar on X 2025-07-18 12:52:23 UTC 215.1K followers, 4609 engagements
"The only AI framework you'll ever need to learn In this video we create an agentic workflow for writing and publishing content using Motiaa unified system where APIs background jobs events and agents are just plug-and-play steps. XXX% open-source" @akshay_pachaar on X 2025-07-17 07:35:16 UTC 215.1K followers, 20.2K engagements
"Finally A Text-to-SQL tool that actually works Vanna is an open-source RAG framework for complex Text-to-SQL generation. It manages dynamic data and allows custom RAG model training for greater accuracy. XXX% open-source" @akshay_pachaar on X 2025-07-15 12:32:51 UTC 215.1K followers, 98.9K engagements
"Links: - ML for Beginners: - AI for Beginners: - NN Zero to Hero: - Paper implementations: - Made with ML: - Hands-on LLMs: - Advanced RAG techniques: - Agents for Beginners: - Agents towards production: - AI Engg. Hub: Note: This roadmap moves toward LLMs NLP and AI agents after Made With ML but dont overlook CV and RL. They're equally powerful paths for AI engineers to explore" @akshay_pachaar on X 2025-07-17 12:33:01 UTC 215.1K followers, 5846 engagements
"7 MCP projects for AI Engineers (with video tutorials):" @akshay_pachaar on X 2025-07-03 13:02:46 UTC 215.1K followers, 326.9K engagements
"For years gradient boosting has been the go-to for tabular learning. TabM is a parameter-efficient ensemble that provides: - The speed of an MLP. - The accuracy of GBDT. The visual below explains how it works. Let's dive in" @akshay_pachaar on X 2025-07-14 12:34:32 UTC 215.1K followers, 18.4K engagements
"Mixture of Experts (MoE) is a popular architecture that uses different "experts" to improve Transformer models. The visual below explains how they differ from Transformers. Let's dive in to learn more about MoE" @akshay_pachaar on X 2025-07-21 12:30:20 UTC 215.1K followers, 8245 engagements
"5 Build your own reasoning LLM In this project you'll learn how to build your own reasoning LLMs like DeeSeek-R1 using Reinforcement finetuning. Step-by-step guide with code:" @akshay_pachaar on X 2025-07-18 12:52:26 UTC 215.1K followers, 3781 engagements
"MoEs have more parameters to load. However a fraction of them are activated since we only select some experts. This leads to faster inference. Mixtral 8x7B by @MistralAI is one famous LLM that is based on MoE. Here's the visual again that compares Transformers and MoE" @akshay_pachaar on X 2025-07-21 12:30:52 UTC 215.1K followers, 5532 engagements
"Turn messy PDFs into clean LLM-ready data Dolphin revolutionizes document image parsing with its analyze-then-parse approach making complex documents accessible to AI applications. Handles text tables formulas & figures. XXX% open-source lightning-fast solution" @akshay_pachaar on X 2025-07-09 12:50:39 UTC 215.1K followers, 120.6K engagements
"9 Agents Towards Production The above beginner course taught you what AI agents are. Now it's time to learn how to ship them. This is a practical playbook for building GenAI agents covering memory orchestration deployment security & more. Check this 👇" @akshay_pachaar on X 2025-07-17 12:32:53 UTC 215.1K followers, 2538 engagements
"Knowledge graphs are insanely good at giving agents human-like memory Today we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor Claude Desktop etc. It's built using a real-time knowledge graph. XXX% open-source and self-hosted" @akshay_pachaar on X 2025-06-08 13:31:43 UTC 215.1K followers, 157.9K engagements
"3 Neural Networks: Zero to Hero Now that youve grasped the foundations of AI/ML its time to dive deeper. This repo by Andrej Karpathy is a hands-on course that builds modern deep learning systems from scratch including GPTs. Check this 👇" @akshay_pachaar on X 2025-07-17 12:32:30 UTC 215.1K followers, 5524 engagements
"I decided to put together all my MCP posts in a single PDF. It covers: - The fundamentals of MCP - Explanations with visuals and code - XX hands-on projects for AI engineers Download link in next tweet" @akshay_pachaar on X 2025-06-27 12:58:34 UTC 215.1K followers, 212.6K engagements
"8 AI Agents for Beginners by Microsoft After diving into LLMs and mastering RAG learn how to build AI agents. This is a hands-on course that teaches you how to build autonomous AI agents using real frameworks like Semantic Kernel AutoGen and MCP. Check this👇" @akshay_pachaar on X 2025-07-17 12:32:49 UTC 215.1K followers, 2679 engagements