Who Would Win: A State-of-the-Art Foundation Model or a Neural Net?
pub.towardsai.net·6h
🔢BitNet
Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning
arxiv.org·18h
📊Vector Databases
Jan Nano + Deepseek R1: Combining Remote Reasoning with Local Models using MCP
huggingface.co·13h·
Discuss: r/LocalLLaMA
📋MCP
C++ Seeding Surprises (2015)
pcg-random.org·6h·
Discuss: Hacker News
🌳Data Structures
How to Streamline Complex LLM Workflows Using NVIDIA NeMo-Skills
developer.nvidia.com·22h
🏆LLM Benchmarking
What Inflection AI Learned Porting Its LLM Inference Stack from NVIDIA to Intel Gaudi
thenewstack.io·3h
⚡Hardware Acceleration
HW Security: Multi-Agent AI Assistant Leveraging LLMs To Automate Key Stages of SoC Security Verification (U. of Florida)
semiengineering.com·15h
🕳LLM Vulnerabilities
Smart amplifier cuts power consumption, paving way for more qubits and less decoherence
phys.org·6h
🔬RaBitQ
Speaker ID, Database Timeouts & Content Hashing
askthegame.bearblog.dev·22h
💾Prompt Caching
Zama Raises $57M in Series B to Bring End-to-End Encryption to Public Blockchains
techstartups.com·5h
🧮SMT Solvers
Build a Compiler from Scratch, Part 1.2: Intermediate Representation and Code Generation
blog.sylver.dev·22h
🦀Rust Compiler Internals
Gradient Descent on Token Input Embeddings: A ModernBERT experiment
lesswrong.com·20h
📊Embeddings
MUVERA: Making multi-vector retrieval as fast as single-vector search
research.google·8h
🎯Qdrant
Show HN: Towards agentic Graph RAG: Enhancing graph retrieval with vector search
blog.kuzudb.com·52m·
Discuss: Hacker News
🎯Qdrant
After a year in the LLM wilderness, I think the 'memory problem' isn't a bug—it's a business model. So I went a different way.
reddit.com·23h·
Discuss: r/LocalLLaMA
🪄Prompt Engineering
June 25, 2025 Flight Tracking Workshop (4 hour) [Americas / Europe-friendly time]
bellingcat.com·22h
🪄Prompt Engineering
The dynamics and geometry of choice in the premotor cortex
nature.com·22h
📊Embeddings
Getting an LLM to set its own temperature
amanvir.com·22h·
Discuss: Hacker News
🕳LLM Vulnerabilities
Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI
arxiv.org·18h
🐘pgvector
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·18h
📊Vector Databases