LexSiga

7 ms·

31.
by LexSiga 2y ago
Part of the team here - Happy to discuss this further if you have any question about the move.
32.
Migrating from AWS to a European Cloud – How We Cut Costs by 62%(hopsworks.ai)
143 points by LexSiga 2y ago|66 comments
33.
What Is vLLM – Dictionary Entry (Hopsworks)(hopsworks.ai)
1 points by LexSiga 2y ago|0 comments
34.
Fallacies of MLOps(hopsworks.ai)
1 points by LexSiga 2y ago|1 comments
35.
Migrating Hopsworks to Kubernetes(hopsworks.ai)
2 points by LexSiga 2y ago|0 comments
36.
The History and Evolution of Open Table Formats(practicaldataengineering.substack.com)
2 points by LexSiga 2y ago|0 comments
37.
Query Snowflake tables locally without any need for a running warehouse(github.com)
1 points by LexSiga 2y ago|0 comments
38.
Petabyte-Scale Row-Level Operations in Data Lakehouses [pdf](dbtsai.com)
2 points by LexSiga 2y ago|0 comments
39.
TMobile fined $60M for unauthorized access to data: the largest fine of its type(9to5mac.com)
60 points by LexSiga 2y ago|18 comments
40.
Performance Benchmarking on GPUs with Theseus – GPU Query Engine for Petabytes(voltrondata.com)
1 points by LexSiga 2y ago|0 comments
41.
ISO GQL: A Defining Moment in the History of Database Innovation(neo4j.com)
3 points by LexSiga 2y ago|0 comments
42.
We have no idea how models will behave in production until production(arxiv.org)
38 points by LexSiga 2y ago|3 comments
43.
Doubling Down on Open Source: How RonDB Upholds the Principles Redis Left Behind(hopsworks.ai)
2 points by LexSiga 3y ago|0 comments
44.
Function Calling in LLMs(hopsworks.ai)
2 points by LexSiga 3y ago|0 comments
45.
What Is Function Calling for LLMs?(hopsworks.ai)
1 points by LexSiga 3y ago|0 comments
46.
Why do you need a feature store?(hopsworks.ai)
1 points by LexSiga 3y ago|0 comments
47.
by LexSiga 3y ago
So I guess this opens the question of which part really covers MLOps; I would love to see those but some strike me heavily as being part of the model development and training. I somewhat, in my simple mind always got stuck on the Ops in a “
48.
by LexSiga 3y ago
Life finds a way
49.
by LexSiga 4y ago
In a nutshell; no infra means infra but not managed by yourself; so you would focus on all the different ML pipeline in the journey (feature, training, inference) to create a real operationalised ML system.
50.
MLApps: Projects, predictions services and examples that are built with ML(serverless-ml.org)
2 points by LexSiga 4y ago|0 comments
51.
From those 50 AI projects, 90%+ made it to production within 2 weeks. How?(serverless-ml.org)
1 points by LexSiga 4y ago|0 comments
52.
A serverless ML application to beat the bookmakers(serverless-ml.org)
1 points by LexSiga 4y ago|0 comments
53.
From 50 AI projects, 48 made it to production within 2 weeks. How?(serverless-ml.org)
5 points by LexSiga 4y ago|0 comments
54.
Yandex Search engine source code leak(breached.vc)
1 points by LexSiga 4y ago|0 comments
55.
by LexSiga 4y ago
Set of general principles and practices in an organisation.
56.
What is Serverless ML, why should you care?(serverless-ml.org)
1 points by LexSiga 4y ago|0 comments
57.
The great unbundling of ML through serverless machine learning(serverless-ml.org)
6 points by LexSiga 4y ago|0 comments
58.
by LexSiga 4y ago
I’ve participated in the first two lectures: it’s perhaps the most straight forward approach that I had to get an end to end ML service running.
59.
Scaling data ingestion for machine learning training at Meta(engineering.fb.com)
2 points by LexSiga 4y ago|0 comments
60.
Show HN: Feature Store and Model Registry; Hopsworks 3.0(github.com)
3 points by LexSiga 4y ago|0 comments

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