Pubudu Ekanayake @smewpm
Sri Lanka Joined January 2011-
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Log-linear attention — a new type of attention proposed by @MIT which is: - fast and efficient as linear attention - expressive as softmax It uses a small but growing number of memory slots that increases logarithmically with the sequence length. Here's how it works:
⭐️Introducing the LangGraph Functional API We spent a lot of time making LangGraph's state management (short/long term memory🧠, human in the loop🧑🤝🧑, time travel⏲️) production ready You can now use these outside of the Graph syntax - with any framework (or none at all!) With…
Combine RAG with reasoning models like o1. Search-o1 modifies the RAG to work with reasoning models like OpenAI o1 or QwQ o,utperforming traditional RAG systems by integrating retrieved information into the Chain of Thought! 👀 Implementation 1️⃣ Choose a Reasoning LLM, e.g.…
Recently, I finally sat down to read the DeepSeek v3 paper (github.com/deepseek-ai/De…). I loved the KV compression proposed by the same group in an earlier paper—it's so elegant! But without explicit mathematical proofs, I found it harder to fully appreciate the underlying idea.…
MegaParse is an open-source tool for parsing various types of documents for LLM ingestion. Supports text, PDF, PowerPoint, excel, csv, and Word documents. It can convert these into a format ideal for LLMs. It can parse content of different types such as tables, TOC, headers,…
🎤Paper-to-Podcast Looking for an open-source version of NotebookLM? Paper-to-Podcast is a tool that transforms academic research papers into an engaging and conversational podcast format See the code👇 github.com/Azzedde/paper_…
🚨 Github Trending #1: Flux! The best text-to-image model, completely open-source and free. Download it and try it out!
Meta just released 4 models today. 🔥 - Meta Chameleon: 7B & 34B language models - Meta Multi-Token Prediction LLM - Meta JASCO: text-to-music models - Meta AudioSeal: audio watermarking model This is based on Meta's groundbreaking paper released back in April-2024 "Better &…
🕸️Introducing GraphRAG with LangChain and Neo4j Great introduction to using Graphs - instead of pure vector DBs - to power RAG applications The relationships that graphs provide can empower better retrieval which can yield better answers medium.com/microsoftazure…
KAN: Kolmogorov–Arnold Networks is a really elegant paper. It's refreshing to see that things worked by design rather than by accident in ML. I made a small KAN experiment comparing it to MLP and spline fitting. (notebook in comments!)
Nice Paper for a Sunday read - "A Primer on the Inner Workings of Transformer-based Language Models" 📌 Provides a concise technical introduction focusing on the generative decoder-only architecture. 📌 The paper introduces the Transformer layer components, including the…
Why cosine-similarity and its implications for high dimensionality are so important for text embeddings in LLM ? 💡 📌 Cosine similarity measures the cosine of the angle between two vectors, giving us a value between -1 and 1. For unit vectors (vectors normalized to have a…
Linux is a popular operating system among SysAdmins and devs. And @beaucarnes created 2 in-depth beginner courses for you – this is the first one. In it, he goes through the major distro families and gives you an in-depth overview of how to use Linux. freecodecamp.org/news/introduct…
You can use Keras layers/metrics/optimizers/etc. in a standalone torch, TF, or JAX workflow. No need to use "all" of Keras -- it's a completely modular toolbox. Hundreds of different components you can use with any deep learning framework.
PyTorch Internals! A comprehensive guide to how you can understand the PyTorch codebase & contribute to it. Link in the next tweet!
Be Yourself Bounded Attention for Multi-Subject Text-to-Image Generation Text-to-image diffusion models have an unprecedented ability to generate diverse and high-quality images. However, they often struggle to faithfully capture the intended semantics of complex input
Image models are becoming faster, bigger, better. YOSO (You Only Sample Once) is a new method that can fine-tune pre-trained diffusion models to generate high-fidelity images in one-step 🔥 Links ⬇️
🌟Introducing 𝐂𝐡𝐚𝐦𝐩: groundbreaking human image animation method! 🕺Leveraging a 3D human parametric model within a latent diffusion framework, Champ achieves unparalleled shape alignment & motion guidance 🔍Capturing intricate human geometry & motion has never been easier
🗻 GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image 🔥 Jupyter Notebook 🥳 Thanks to @lemonaddie0909 ❤ @YvanYin8612 ❤ Mu Hu ❤ Kaixuan Wang ❤ Yuexin Ma ❤ Ping Tan ❤ Shaojie Shen ❤ @lindahua ❤ @xxlong0 ❤ 🌐page:…
🗻 GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image 🔥 Jupyter Notebook 🥳 Thanks to @lemonaddie0909 ❤ @YvanYin8612 ❤ Mu Hu ❤ Kaixuan Wang ❤ Yuexin Ma ❤ Ping Tan ❤ Shaojie Shen ❤ @lindahua ❤ @xxlong0 ❤ 🌐page:… https://t.co/N8cewGmo4d

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