🏗️ MLIR

Multi-Level IR, Compiler Infrastructure, Dialect Design, Progressive Lowering

MicroAlloc
bogdanthegeek.github.io·7h
🧠Memory Allocators
Latent Diffusion Model for Quantitative Precipitation Estimation and Forecast at km Scale
sciencedirect.com·1d
🌱Minimal ML
Everything you know is wrong
lawrencecpaulson.github.io·2d·
Discuss: Hacker News
🎭Program Synthesis
[D] Is non-DL related research a poor fit for ICLR?
reddit.com·4h·
Discuss: r/MachineLearning
🌱Minimal ML
Open sourced my AI video generation project
reddit.com·22h·
Discuss: r/LLM
✨Gleam
<p>**Abstract:** This paper presents a novel approach to enhancing resilience in Starship intra-communication systems through dynamically adaptive beamforming. ...
freederia.com·13h
📡Erlang BEAM
Stop Property Drilling in FastAPI: Use Request-Level Globals
dev.to·13h·
Discuss: DEV
✨Gleam
My Google Summer of Code Journey: Part 3
dev.to·19h·
Discuss: DEV
🏷️Memory Tagging
Assessing Historical Structural Oppression Worldwide via Rule-Guided Prompting of Large Language Models
arxiv.org·2d
🌱Minimal ML
errortype v0.0.5 Released - Now with golangci-lint Plugin Support
reddit.com·2d·
Discuss: r/golang
🛡️Error Handling
LLM-Powered Query Processing: From Natural Language to Tool Execution
dev.to·2d·
Discuss: DEV
⚙️Configuration Parsing
MyLocalAI - Self-hosted AI chat interface with planned tool integrations
reddit.com·1d·
Discuss: r/selfhosted
🌙Lua
System Instruction Fixed Point
funcall.blogspot.com·5d·
Discuss: www.blogger.com
💬Interactive REPLs
🧠How to use AI more efficiently for free (Serena MCP)🧐
dev.to·1d·
Discuss: DEV
💬Interactive REPLs
Building Language Tech for Meghalaya: Lessons from Tokenizing Khasi and Garo with Modern LLMs
dev.to·1d·
Discuss: DEV
⚡Tokenizer Benchmarks
Enhanced Semantic Alignment Through Contrastive Hypervector Triangulation (CHT) for Cross-Modal Retrieval
dev.to·2d·
Discuss: DEV
📈Earley Parsing
Predicting Mitochondrial Dysfunction Severity via Multi-Modal Data Integration and HyperScore Analysis
dev.to·1d·
Discuss: DEV
✨Effect Inference
Audited Reasoning Refinement: Fine-Tuning Language Models via LLM-Guided Step-Wise Evaluation and Correction
arxiv.org·4d
🔗Unification
Compiling LLVM and Running Your First Dummy Pass
dev.to·2d·
Discuss: DEV
🏗️LLVM
Q-ROAR: Outlier-Aware Rescaling for RoPE Position Interpolation in Quantized Long-Context LLMs
arxiv.org·2d
🪜Recursive Descent