The Impact of Prompt Bloat on LLM Output Quality
mlops.community·6h·
Discuss: Hacker News
🪄Prompt Engineering
Taking .NET Aspire for a spin
infoworld.com·8h
🔧Developer tools
Turbocharged Storage: MinIO, KIOXIA, and AMD team up to take on AI
blog.min.io·18h
🖥GPUs
Initialization, BatchNorm, and LayerNorm: The Holy Trilogy
pub.towardsai.net·6h
🧠LLM Inference
Back to The Future: Evaluating AI Agents on Predicting Future Events
huggingface.co·17h
🏆LLM Benchmarking
Feature Engineering at Scale: Optimizing ML Models in Semiconductor Manufacturing with NVIDIA CUDA‑X Data Science
developer.nvidia.com·17h
📊Model Serving Economics
Debugging the One-in-a-Million Failure: Migrating Pinterest’s Search Infrastructure to Kubernetes
medium.com·22h
⚡Search Latency
CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks
arxiv.org·13h
💻Programming languages
Transformers At The Edge: Efficient LLM Deployment
semiengineering.com·10h
🧠LLM Inference
Lessons from scaling PostgreSQL queues to 100k events per second
rudderstack.com·3h·
Discuss: Hacker News
⚙️Database Internals
AI/ML-ready Apache Spark with Dataproc
cloud.google.com·1h
⚡DataFusion
Rebooting the Singularity
lesswrong.com·23h
🆕New AI
[$] Scheduler medley: time-slice extension, sched_ext deadline servers, and LRU batching.
lwn.net·3h
🚀Async Optimization
Reactive Java Operator-fusion (2016)
akarnokd.blogspot.com·22h·
Discuss: Hacker News
🔄Incremental Computation
Experimental RAG Techniques Resource
github.com·22h·
Discuss: r/LocalLLaMA
🔄LLM RAG Pipelines
Self-hosting CI runners is a trap
shipfox.io·4h·
Discuss: Hacker News
🌐Distributed systems
Building AI That Learns from Every Pipeline Run: Part 2
askthegame.bearblog.dev·20h
🪄Prompt Engineering
Are You Absorbing or Just Digging?
nik.art·7h
📰RSS Reading Practices
Can AI really code? Study maps the roadblocks to autonomous software engineering
news.mit.edu·20h
🛡️AI Safety
Agents Built from Alloys
xbow.com·1h·
Discuss: Hacker News
🆕New AI