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doppenhe
searching Neon…
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5 ms
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1.
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by
doppenhe
6mo ago
very cool , i wish it had multi screen mode
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Rm -RF Salesforce; I replaced our CRM with a Git repo and an AI Agent
(twitter.com)
2 points
by
doppenhe
7mo ago
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0 comments
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Snowglobe by Guardrails AI: Fast Simulation for Chatbots
(active-predict-532342.framer.app)
1 points
by
doppenhe
1y ago
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0 comments
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by
doppenhe
1y ago
Very cool, does `npx hyperparam dataset.parquet` phone home?
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by
doppenhe
2y ago
Could HyParquet's approach be extended to other data formats beyond Parquet?
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by
doppenhe
2y ago
nice thanks for sharing
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Product problem considerations when building LLM applications
(guardrailsai.com)
3 points
by
doppenhe
3y ago
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0 comments
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From Traditional Machine Learning Governance to LLM-Centric AI Governance
(guardrailsai.com)
1 points
by
doppenhe
3y ago
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1 comments
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by
doppenhe
3y ago
The rapid advancement of large language models (LLMs) like ChatGPT has captured headlines and imaginations. AI systems can now generate amazingly human-like text on any topic with just a few prompts.These behemoths, with their unparalleled
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by
doppenhe
3y ago
this makes me happy , I was the PM for that feature :)
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by
doppenhe
4y ago
This is great, thanks for sharing. Key component in evolving FM based applications is making them feel as deterministic as possible vs probabilistic. Framework like this would enable generating trust in the outputs of these FMs.. exciting.
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by
doppenhe
4y ago
Author here would love to discuss with the community
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DevTools for Large Language Models
(unusual.vc)
7 points
by
doppenhe
4y ago
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1 comments
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The Age of Industrialized AI
(danieljeffries.substack.com)
2 points
by
doppenhe
4y ago
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0 comments
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Monitoring ML Models with Datadog and Algorithmia
(siliconangle.com)
1 points
by
doppenhe
6y ago
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0 comments
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by
doppenhe
6y ago
hi all creator here. We built this version of our product focused on dynamic data science teams that just wanted to be able to deploy, scale and run their models without worrying about ops. Some more details: https://algorithmia.
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Show HN: Algorithmia Teams: SaaS based MLOps platform
(algorithmia.com)
6 points
by
doppenhe
6y ago
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1 comments
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by
doppenhe
6y ago
Deployment, inference and management can participate in this as well! Here is the missing part for a total e2e solution: https://github.com/marketplace/actions/algorithmia-ci-cd {disclaimer, we built this Github a
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Show HN: Building a continuous integration pipeline for ML with GitHub Actions
(algorithmia.com)
1 points
by
doppenhe
6y ago
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0 comments
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Protecting your machine learning system from attack
(algorithmia.com)
5 points
by
doppenhe
6y ago
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0 comments
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by
doppenhe
7y ago
It's not used for private models. Its meant to make sure if someone builds an application based on your models you won't yank that version from under them. If you never expose your model (for profit) you can delete at will and we
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by
doppenhe
7y ago
Algorithmia here . What are you concerned about license wise? You own all ip always. There is some restrictions if you choose to commercialize on our service (mostly guarantee you won't take it down on users). System was built for this
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by
doppenhe
8y ago
curious what kind of infrastructure have you built for deployment, serving and managing models?
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Your deep learning for enterprise startup will fail
(medium.com)
2 points
by
doppenhe
8y ago
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0 comments
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Challenges productionizing embedding engines
(blog.algorithmia.com)
1 points
by
doppenhe
8y ago
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0 comments
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Google Cloud acquires data startup Cask
(blog.cask.co)
13 points
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doppenhe
8y ago
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1 comments
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Machine Learning on the blockchain: results of the first competition
(geekwire.com)
2 points
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doppenhe
8y ago
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0 comments
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by
doppenhe
9y ago
Algorithmia | Sr. Software Engineer - Platform | REMOTE + ONSITE | Fulltime Algorithmia is "DevOps for AI". The Algorithmia engineering team is responsible for building the Algorithmia platform, a highly-available distributed plat
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Introduction to Time Series algorithms
(blog.algorithmia.com)
2 points
by
doppenhe
9y ago
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0 comments
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by
doppenhe
9y ago
please do!
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