Jython talk. Dublin. Wed 8th November.
seanmcgrath.blogspot.com·2d
λLambda Formalization
Clarity
robinsloan.com·2d
🧠Intelligence Compression
Python PEP 636 – Structural Pattern Matching: Tutorial
peps.python.org·6d·
Discuss: Hacker News
📝Concrete Syntax
Sandy Maguire: Theorems for Free Redux
reasonablypolymorphic.com·2d·
Discuss: Hacker News
λLambda Encodings
Neural Networks from Scratch in Python: Simpler Than You Think
hamza.se·1d·
Discuss: Hacker News
📊Quantization
Memgoose – An In-Memory Mongoose Impersonator
github.com·13h·
Discuss: Hacker News
🔄Sync Engine
Quantum Agents: The Algorithmic Alchemists Reshaping Discovery
dev.to·12h·
Discuss: DEV
⚛️Quantum Algorithms
H1B-KV: Hybrid One-Bit Caches for Memory-Efficient Large Language Model Inference
arxiv.org·3d
💨Cache Optimization
LLMs Learn to Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions
arxiv.org·1d
🔲Cellular Automata
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·36m·
Discuss: DEV
📊Multi-vector RAG
The Conveyor Belt Protocol: Understanding Iterators
dev.to·19h·
Discuss: DEV
🧬Functional Programming
Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social Groups
arxiv.org·2d
🇨🇳Chinese Computing
Structured Cognition for Behavioral Intelligence in Large Language Model Agents: Preliminary Study
arxiv.org·3d
🧠Intelligence Compression
Revisiting Mixout: An Overlooked Path to Robust Finetuning
arxiv.org·2d
🧠Learned Codecs
Detecting Invariant Manifolds in ReLU-Based RNNs
arxiv.org·4d
🌀Riemannian Computing
How Google Translate & ChatGPT Work: The Transformer, Unboxed
dev.to·2d·
Discuss: DEV
🧠Learned Codecs
The Alignment Waltz: Jointly Training Agents to Collaborate for Safety
arxiv.org·1d
🔲Cellular Automata
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models
arxiv.org·1d
🤖Grammar Induction
Exponential Error Bounds for Information Bottleneck Source Coding Problems
arxiv.org·1d
📐Compression Bounds
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·6h·
Discuss: DEV
📊Multi-vector RAG