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🚀 MLOps
Model Deployment, ML Pipelines, Monitoring, Versioning
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145055
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##
Dataguard
: A
Multiagentic
Pipeline for ML
dev.to
·
1d
·
Discuss:
DEV
🌀
Naiad
Packaging
AI/ML Models as
Conda
Packages
prefix.dev
·
16h
·
Discuss:
Lobsters
,
Hacker News
📦
uv
On language models and
intuition
aleksei.dev
·
5h
🎯
Hindley-Milner
Automating the Detection of
Requirement
Dependencies
Using Large Language Models
arxiv.org
·
1d
🏗️
Cranelift
Show HN:
AxonML
– A
PyTorch-equivalent
ML framework written in Rust
github.com
·
51m
·
Discuss:
Hacker News
⚙️
XLA
A Practical Guide to Evaluating AI Agents: From
Offline
Benchmarks
to Live Production Monitoring
pub.towardsai.net
·
1h
📈
Prometheus
Scaling ML Inference on Databricks: Liquid or
Partitioned
?
Salted
or Not?
towardsdatascience.com
·
11h
📊
Vectorized Query Execution
From
Manual
Chaos to Workflow Engineering: Building a Local-First AI Automation Pipeline (and
Rethinking
Cloud LLMs Like Gemini)
dev.to
·
4h
·
Discuss:
DEV
🤖
Automation
dReLU
Sparsification: Recovering LLM Performance with
150B
Token Pretraining
hackernoon.com
·
23h
🍱
Nom
Large model inference
container
– latest capabilities and performance
enhancements
aws.amazon.com
·
2d
🦙
Ollama
jayu/rev-dep
: Dependency analysis and optimization toolkit for modern JavaScript and TypeScript codebases. Enforce dependency graph hygiene and remove unused code with a very fast CLI.
github.com
·
4h
·
Discuss:
r/SideProject
,
r/javascript
📦
uv
AI-Assisted
Development: One month in
adfr.io
·
1h
🎭
Program Synthesis
Building and
Deploying
Your First
ML
Model in Go
slicker.me
·
3d
·
Discuss:
r/golang
🦙
Ollama
Projects
morling.dev
·
1d
🔧
Abseil
I built a
full-stack
Python app using only local LLMs and the Model Context
Protocol
(MCP)
xda-developers.com
·
2d
🦙
Ollama
Some notes on
unreliability
of LLM
APIs
andrewpwheeler.com
·
1d
·
Discuss:
Hacker News
🦙
Ollama
My MCP Server Setup: A
Practical
Guide to
Wiring
AI Into Everything
crunchtools.com
·
22h
🚀
Shuttle
From AI’s
Origins
to Smart Devices:
Selecting
the Right Devices for Smart Deployment
eetimes.com
·
1d
📱
Edge AI
ContextRL
: Enhancing
MLLM
's Knowledge Discovery Efficiency with Context-Augmented RL
arxiv.org
·
1d
💬
Prompt Engineering
Unsupervised
Learning NO. 518
newsletter.danielmiessler.com
·
9h
🛡️
AI Security
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