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@akshay_pachaar Avatar @akshay_pachaar Akshay 🚀

Akshay 🚀 posts on X about ai, repo, open ai, youtube the most. They currently have XXXXXXX followers and XX posts still getting attention that total XXXXXX engagements in the last XX hours.

Engagements: XXXXXX #

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Mentions: XX #

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Followers: XXXXXXX #

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CreatorRank: XXXXXXX #

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Social Influence #

Social category influence technology brands XXXXX% social networks XXXX% stocks XXXX% finance XXXX%

Social topic influence ai 21.05%, repo #282, open ai #1166, youtube 3.51%, tools for 3.51%, roadmap #359, devs 1.75%, token 1.75%, $googl 1.75%, accounting XXXX%

Top accounts mentioned or mentioned by @avichawla @akshaypachaar @_avichawla @freecodecamp @lightningai @zepai @coreyms @metaalchemist @reparodynamics @daniavila7s @cheers_2_life87 @hugo1256 @rajeshvulluri @saen_dev @gashoulemsee @lokeshsivakumar @jenslon_ @sasd56554 @soham901x @manuagi01

Top assets mentioned Alphabet Inc Class A (GOOGL) Microsoft Corp. (MSFT)

Top Social Posts #

Top posts by engagements in the last XX hours

"8 key skills to become a full-stack AI Engineer:"
X Link @akshay_pachaar 2025-09-07T13:21Z 233.2K followers, 498.7K 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"
X Link @akshay_pachaar 2025-10-13T12:36Z 233.2K followers, 2850 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"
X Link @akshay_pachaar 2025-10-13T12:36Z 233.2K followers, 2512 engagements

"uv is the best thing that has happened to Python devs And you won't find a better cheatsheet than this:"
X Link @akshay_pachaar 2025-10-18T17:20Z 233.2K followers, 102.6K engagements

"So let's dive in and understand how KV caching works.👇"
X Link @akshay_pachaar 2025-10-20T12:30Z 233.2K followers, 8527 engagements

"To understand KV caching we must know how LLMs output tokens. - Transformer produces hidden states for all tokens. - Hidden states are projected to the vocab space. - Logits of the last token are used to generate the next token. - Repeat for subsequent tokens. Check this👇"
X Link @akshay_pachaar 2025-10-20T12:30Z 233.2K followers, 8008 engagements

"4 Corey Schafer Arguably the best Python channel on YouTube. This channel focuses on tutorials and walkthroughs for SDEs programmers and engineers. Check this out👇"
X Link @akshay_pachaar 2025-10-25T12:32Z 233.2K followers, 3190 engagements

"5 Project-based learning This GitHub repo contains a curated list of great Python projects across many domains and areas of interest. It has 225k stars Check this out👇"
X Link @akshay_pachaar 2025-10-25T12:32Z 233.2K followers, 2912 engagements

"Every LangGraph user I know is making the same mistake They all use the popular supervisor pattern to build conversational agents. The pattern defines a supervisor agent that analyzes incoming queries and routes them to specialized sub-agents. Each sub-agent handles a specific domain (returns billing technical support) with its own system prompt. This works beautifully when there's a clear separation of concerns. The problem is that it always selects just one route. For instance if a customer asks: "I need to return this laptop. Also what's your warranty on replacements" The supervisor routes"
X Link @akshay_pachaar 2025-10-30T12:31Z 233.2K followers, 123.9K engagements

"Google just dropped a new LLM You can run it locally on just XXX GB RAM. Let's fine-tune this on our own data (100% locally):"
X Link @akshay_pachaar 2025-08-15T12:38Z 233.2K followers, 2M engagements

"If anyone needs a video guide to Karpathy's nanochat check out Stanford's CS336 It covers: - Tokenization - Resource Accounting - Pretraining - Finetuning (SFT/RLHF) - Overview of Key Architectures - Working with GPUs - Kernels and Tritons - Parallelism - Scaling Laws - Inference - Evaluation - Alignment Everything you need to prepare for a job at Frontier AI Labs. I'm taking this course and will share my learnings here on X. Link to the playlist in the next tweet"
X Link @akshay_pachaar 2025-10-14T16:47Z 233.2K followers, 118.7K engagements

"Building AI agents dont read blogs dont watch videos write code and build things from scratch I've open-sourced 90+ projects on AI Agent RAG MCP and context engineering (18k+ stars already) GitHub:"
X Link @akshay_pachaar 2025-10-26T16:35Z 233.2K followers, 47.7K engagements

"We just hit 20k stars on AI Engineering Hub 🌟 90+ hands-on projects covering: LLMs RAG AI Agents Memory for Agents Eval and Observability LLMOps and optimisations And much more XXX% open-source"
X Link @akshay_pachaar 2025-11-01T08:36Z 233.2K followers, 6061 engagements

"Agents are only as effective as the tools we provide them A team at Anthropic has crafted this piece on creating effective tools for agents with agents. A must-read for AI engineers"
X Link @akshay_pachaar 2025-09-15T12:36Z 233.2K followers, 23.2K engagements

"I built my own ChatGPT from scratch and you can too. karpathy's nanochat is a single clean minimal and hackable codebase to build a modern LLM. By setting this up you'll learn how to: train a tokenizer from the ground up pre-training: master next-word prediction mid-training: teach the model to hold conversations sft: fine-tune on high-quality dialogue datasets evaluate and log every step of the process I've done this on a LightningAI studio and you can reproduce everything with a single click (zero setup required). link in the next tweet"
X Link @akshay_pachaar 2025-10-21T12:30Z 233.2K followers, 41K engagements

"I've been coding in Python for X years now. If I were to start over today here's a complete roadmap:"
X Link @akshay_pachaar 2025-10-25T12:32Z 233.2K followers, 64.6K engagements

"While everyone's vibecoding a few truly understand what's actually happening. This roadmap matters more now than ever. So let's dive in 🚀"
X Link @akshay_pachaar 2025-10-25T12:32Z 233.2K followers, 4486 engagements

"1 Python bootcamp by @freeCodeCamp X hours Python bootcamp with over 46M views It covers: - Installing Python - Setting up an IDE - Basic Syntax - Variables & Datatypes - Looping in Python - Exception handling - Modules & pip - Mini hands-on projects Check this out👇"
X Link @akshay_pachaar 2025-10-25T12:32Z 233.2K followers, 4896 engagements

"Microsoft did it again Building with AI agents almost never works on the first try. You spend days tweaking prompts adding examples hoping it gets better. Nothing systematic just guesswork. This is exactly what Microsoft's Agent Lightning solves. It's an open-source framework that trains ANY AI agent with reinforcement learning. Works with LangChain AutoGen CrewAI OpenAI SDK or plain Python. Here's how it works: Your agent runs normally with whatever framework you're using. Just add a lightweight agl.emit() helper or let the tracer auto-collect everything. Agent Lightning captures every"
X Link @akshay_pachaar 2025-10-31T12:30Z 233.2K followers, 196.3K engagements

"Traditional RAG vs. Graph RAG clearly explained:"
X Link @akshay_pachaar 2025-11-02T12:30Z 233.2K followers, 40.4K engagements

"if you're looking for a comprehensive guide to LLM finetuning check this a free 115-page book on arxiv covering: fundamentals of LLM peft (lora qlora dora hft) alignment methods (ppo dpo grpo) mixture of experts (MoE) 7-stage fine-tuning pipeline multimodal finetuning & challenges industrial frameworks (hf sagemaker openai) everything you need to know in one place download link in the replies"
X Link @akshay_pachaar 2025-10-19T14:36Z 233.2K followers, 55.5K engagements

"You're in an ML Engineer interview at OpenAI. The interviewer asks: "Our GPT model generates XXX tokens in XX seconds. How do you make it 5x faster" You: "I'll optimize the model architecture and use a better GPU." Interview over. Here's what you missed:"
X Link @akshay_pachaar 2025-10-20T12:30Z 233.2K followers, 186.3K engagements

"Everyone is sleeping on this new OCR model Datalab's Chandra topped independent benchmarks and beat the previously best dots-ocr. - Support for 40+ languages - Handles text tables formulas seamlessly I tested on Ramanujan's handwritten letter from 1913. XXX% open-source"
X Link @akshay_pachaar 2025-11-01T13:42Z 233.2K followers, 140.9K engagements

"Meta just changed the RL game The hardest part of reinforcement learning isn't training. It's managing the environment: the virtual world where your agent learns by trial and error. With no standard way to build these worlds each project starts from scratch with new APIs new rules new feedback loops. The result Agents that can't move across tasks and researchers spending more time wiring environments than improving behavior. This is exactly what PyTorch OpenEnv solves. Think of it as the MCP moment for RL training. OpenEnv standardizes how agents train with reinforcement learning. It gives"
X Link @akshay_pachaar 2025-11-03T12:28Z 233.2K followers, 15.3K engagements

"@LightningAI env where you find the code for Unsloth demo I created using OpenEnv:"
X Link @akshay_pachaar 2025-11-03T12:35Z 233.2K followers, 5488 engagements

"I just built an open NotebookLM clone Here's what it can do for you: - Process multi-modal data - Scrape websites and YouTube videos - Create a unified knowledge base - Lets you do RAG over it - Remember every conversation - Generate a podcast 🎙 The idea here is not to reinvent the wheel but to understand how one of the most powerful tools for learning and research actually works by building it step-by-step So by the end of this video you'll learn how to: Process multimodal data (text audio video URLs and YouTube videos) into a format ready for LLMs Store everything in a vector database for"
X Link @akshay_pachaar 2025-10-17T12:43Z 233.2K followers, 73.6K 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"
X Link @akshay_pachaar 2025-10-22T12:33Z 233.2K followers, 41.5K engagements

"@_avichawla Absolutely I also tried their PixelBot an agent orchestration system built on top of Pixeltable. It provides unified storage for data state and memory. Exactly what context engineering demands"
X Link @akshay_pachaar 2025-10-29T13:31Z 233.2K followers, XXX engagements

"A XXX% open-source alternative to n8n Sim is a drag-and-drop UI for creating powerful AI agent workflows: - Runs locally on your machine - Works with local LLMs I built a job finder for top YC startups & connected it to Telegram in minutes. Here's a step-by-step guide:"
X Link @akshay_pachaar 2025-08-28T13:08Z 233.2K followers, 123K engagements

"STOP duct-taping your AI pipeline together. Pixeltable is a unified declarative framework that handles your entire multimodal pipeline from data storage to model execution. Seamlessly manage images videos text and tabular data all in one place. XXX% open-source"
X Link @akshay_pachaar 2025-10-29T13:17Z 233.2K followers, 18K 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"
X Link @akshay_pachaar 2025-10-24T12:30Z 233.2K followers, 84K engagements

"Claude Skills might be the biggest upgrade to AI agents so far Some say it's even bigger than MCP. I've been testing skills for the past 3-4 days and they're solving a problem most people don't talk about: agents just keep forgetting everything. In this video I'll share everything I've learned so far. It covers: The core idea (skills as SOPs for agents) Anatomy of a skill Skills vs. MCP vs. Projects vs. Subagents Building your own skill Hands-on example Skills are the early signs of continual learning and they can change how we work with agents forever Here's everything you need to know:"
X Link @akshay_pachaar 2025-10-27T14:32Z 233.2K followers, 279.2K engagements

"Context engineering in Claude Skills is GENIUS Skills use a 3-layer context management system that lets it use 100s of skills without hitting context limits. Here's how it works: Layer 1: Main Context - Always loaded it contains the project configuration. Layer 2: Skill Metadata - Comprises only the YAML frontmatter about 2-3 lines ( XXX tokens). Layer 3: Active Skill Context - SKILL. md files and associated documentation are loaded as needed. Supporting files like scripts and templates aren't pre-loaded but accessed directly when in use consuming zero tokens. This architecture supports"
X Link @akshay_pachaar 2025-10-28T14:28Z 233.2K followers, 116.3K engagements

"STOP building AI agents that don't follow your instructions. Parlant lets you build agents for precise control designed for real-world applications and deployable in minutes. Purpose-built for customer-facing free-flowing conversational AI. XXX% open-source"
X Link @akshay_pachaar 2025-10-31T08:59Z 233.2K followers, 57.3K engagements

"Link to the GitHub repo: (don't forget to star 🌟)"
X Link @akshay_pachaar 2025-10-31T12:30Z 233.2K followers, 16.6K engagements

"@_avichawla Absolutely Here's the repo:"
X Link @akshay_pachaar 2025-11-03T12:39Z 233.2K followers, XXX engagements