savin-goyal

5 ms·

1.
KimiK3 Commercial License(twitter.com)
3 points by savin-goyal 2mo ago|0 comments
2.
The Long-Term Memory Layer for AI Systems by the Creator of Apache Cassandra(cortexdb.ai)
8 points by savin-goyal 6mo ago|9 comments
3.
A tale of two flows: Metaflow and Kubeflow(blog.kubeflow.org)
24 points by savin-goyal 8mo ago|2 comments
4.
CNCF Tech Radar Report on AI Tools Adoption [pdf](cncf.io)
3 points by savin-goyal 10mo ago|0 comments
5.
Supercharging the ML and AI Development Experience at Netflix(netflixtechblog.medium.com)
16 points by savin-goyal 11mo ago|1 comments
6.
by savin-goyal 11mo ago
the topic of managing large dependency chains for ML/AI workloads in a reproducible has been a deep rabbit hole for us. if you are curious, here is some of the work in open domain https://docs.metaflow.org/scaling/
7.
Configurable Metaflow(netflixtechblog.com)
1 points by savin-goyal 11mo ago|0 comments
8.
Is the Vibe Coding Bubble Starting to Burst?(finalroundai.com)
2 points by savin-goyal 1y ago|1 comments
9.
Produce fast embeddings and vector indices(developer.nvidia.com)
1 points by savin-goyal 1y ago|0 comments
10.
Optimized Autonomous Inference(outerbounds.com)
1 points by savin-goyal 1y ago|0 comments
11.
Why Metaflow?(docs.metaflow.org)
2 points by savin-goyal 1y ago|0 comments
12.
Benchmarking Batch Inference(outerbounds.com)
1 points by savin-goyal 1y ago|0 comments
13.
Why Metaflow?(docs.metaflow.org)
15 points by savin-goyal 1y ago|6 comments
14.
Why Metaflow?(docs.metaflow.org)
14 points by savin-goyal 1y ago|3 comments
15.
Why Metaflow?(docs.metaflow.org)
7 points by savin-goyal 1y ago|0 comments
16.
Rewards Function as a Service [video](youtube.com)
2 points by savin-goyal 1y ago|0 comments
17.
Tariff(github.com)
6 points by savin-goyal 1y ago|0 comments
18.
Introducing Configurable Metaflow(netflixtechblog.com)
1 points by savin-goyal 2y ago|0 comments
19.
Fast, Automatic Containerization of ML and AI Projects with Fast Bakery(outerbounds.com)
2 points by savin-goyal 2y ago|0 comments
20.
by savin-goyal 2y ago
what's up with the title flips from > 350M Tokens Don't Lie: Love And Hate In Hacker News, to > LLM-based sentiment analysis of Hacker News posts, to > LLM-based sentiment analysis of Hacker News posts between Jan 2020 an
21.
350M Tokens Don't Lie: Love and Hate in Hacker News(outerbounds.com)
10 points by savin-goyal 2y ago|4 comments
22.
Loading Tables from S3 at Lightning Speed(outerbounds.com)
2 points by savin-goyal 2y ago|0 comments
23.
Diverse ML Systems at Netflix(netflixtechblog.com)
20 points by savin-goyal 2y ago|0 comments
24.
by savin-goyal 2y ago
Metaflow sits on top of Maestro, and neither replaces the other > ...Users can use Metaflow library to create workflows in Maestro to execute DAGs consisting of arbitrary Python code. from https://netflixtechblog.com/orch
25.
Supporting Diverse ML Systems at Netflix(netflixtechblog.com)
1 points by savin-goyal 3y ago|0 comments
26.
Supporting Diverse ML Systems at Netflix(netflixtechblog.com)
6 points by savin-goyal 3y ago|2 comments
27.
Building Observable ML/AI Systems(outerbounds.com)
4 points by savin-goyal 3y ago|0 comments
28.
HPC at Autodesk(forums.autodesk.com)
34 points by savin-goyal 3y ago|27 comments
29.
Ramp Accelerated Machine Learning Development to Simplify Finance(engineering.ramp.com)
6 points by savin-goyal 3y ago|0 comments
30.
Supercharging ML Workflows(medium.com)
6 points by savin-goyal 3y ago|0 comments

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