🤖 Transformers - spearous · Scour

🧠 Bidirectional Encoder Representations from Transformers (BERT) 🔍RAG

medium.com·4d

Task Bert 🔍RAG

producthunt.com·1d

Transformer See, Transformer Do: Copying as an Intermediate Step in Learning Analogical Reasoning 🔍RAG

arxiv.org·22h

FABLEN: Fuzzy Adaptive Bilinear Logic Engine Networks 🤖AI

medium.com·56m

Building GPT from Scratch 🧠LLM Training

medium.com·2d

milanm/AutoGrad-Engine: A complete GPT language model (training and inference) in ~600 lines of pure C#, zero dependencies 🧠LLM Training

github.com·11h·Hacker News

Learn Transformers (LLMs) 🧠LLM Training

pub.towardsai.net

·4d

How Machines Understand Words: Token Classification in NLP 🧠LLM Training

medium.com·9h

NLP TOKEN CLASSIFICATION 🧠LLM Training

medium.com·2d

Lies, damned lies, and language statistics: a comprehensive review of risks from manipulation, persuasion, and deception with large language models 🧠LLM Training

link.springer.com·16h

What Rebuilding GPT-2 From Scratch Taught Me About How LLMs Really Work 🧠LLM Training

medium.com·2d

How Machines Understand Words: A Beginner’s Guide to Token Classification in NLP 🧠LLM Training

medium.com

·4d

Structural Transformations in Multi-Stage Dialogues with Large Language Models 🧠LLM Training

zenodo.org·1d·r/LLM

Mamba4 Explained: A Faster Alternative to Transformers for Sequential Modeling 🧠LLM Training

analyticsvidhya.com·6d

Recursive Language Models - A Systematic Approach to Large-Scale Document Analysis – Part I. 🧠LLM Training

constitutionaldiscourse.com·2d

Coding agents for old people 🕵️AI Agents

blog.tasuki.org·2d·Hacker News

How Chatbots Understand You: The Power of Token Classification in NLP 🧠LLM Training

medium.com·4d

Zero-Shot Alignment: Harm Detection via Incongruent Attention Mechanisms 🧠LLM Training

lesswrong.com·1d

CROSSPOST: COSMA SHALIZI: Aware of All Internet Traditions: Large Language Models as Information Retrieval & Synthesis 🧠LLM Training

braddelong.substack.com·3d·Substack

An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications 🧠LLM Training

arxiv.org·22h

Loading more...