Arimbr

6 ms·

1.
AI's Event Backbone(altertable.ai)
1 points by Arimbr 3mo ago|0 comments
2.
Bootstrapping AI Evals from Context (Why 'Just Asking Claude' Fails)(scorable.ai)
1 points by Arimbr 5mo ago|0 comments
3.
My Data Quality Tools List: Tried Any?(toolsfordata.com)
1 points by Arimbr 7mo ago|0 comments
4.
Metadata Is the New Oil Fueling AI(selectstar.com)
4 points by Arimbr 1y ago|0 comments
5.
Why LLMs Struggle with Text-to-SQL(selectstar.com)
1 points by Arimbr 1y ago|0 comments
6.
by Arimbr 2y ago
I like the YAML abstraction. This should make it easier to programmatically try and evaluate multiple configurations for the whole AI pipeline (not just the LLM) against a dataset or real users through an API deployment. Some feedback: It w
7.
Maintaining API Connectors(airbyte.com)
1 points by Arimbr 2y ago|0 comments
8.
How Airbyte 1.0 orchestrates data movement jobs(airbyte.com)
2 points by Arimbr 2y ago|0 comments
9.
Resumable Full Refresh Data Syncs(airbyte.com)
1 points by Arimbr 2y ago|0 comments
10.
by Arimbr 2y ago
What is an hybrid index?
11.
Speech-to-Emoji with OpenAI Whisper and GPT-4o(speech-to-emoji.vercel.app)
1 points by Arimbr 2y ago|0 comments
12.
by Arimbr 2y ago
Nice, thanks! I was reading https://pathway.com/developers/user-guide/deployment/persist... . If I understand correctly you persist both source data and internal state, including the intermediary state of the
13.
by Arimbr 2y ago
If all the pipeline and the vector index is keep in memory... does Pathway still persist state somewhere?
14.
Literal AI: multi-modal LLM app observability and evaluation(literalai.com)
4 points by Arimbr 2y ago|0 comments
15.
by Arimbr 2y ago
The AI Connector Builder from API docs is insane! Which API doc specifications will it support? Or does it even matter?
16.
Conduktor 2.0: Kafka Development Platform(v2.conduktor.io)
1 points by Arimbr 2y ago|0 comments
17.
Productizing Data Services(arch.dev)
2 points by Arimbr 3y ago|0 comments
18.
Processing Kafka event streams in Python(pathway.com)
6 points by Arimbr 3y ago|1 comments
19.
by Arimbr 3y ago
Interesting implementation! For complex stream and text processing, I also prefer processing data in memory with Python (ETL) rather than SQL in the warehouse (ELT).
20.
Linux Terminal Reimagined with AI(warp.dev)
5 points by Arimbr 3y ago|1 comments
21.
Pathway: Python stream processing framework for logistics and supply chain data(arxiv.org)
1 points by Arimbr 3y ago|0 comments
22.
From Data Engineer to YAML Engineer(juhache.substack.com)
2 points by Arimbr 3y ago|0 comments
23.
Writing Fewer Data Tests(elementary-data.com)
2 points by Arimbr 3y ago|0 comments
24.
Fastest data processing engine on the market – 2023 benchmarks(pathway.com)
2 points by Arimbr 3y ago|0 comments
25.
by Arimbr 3y ago
I see the ingested documents in the data folder don't have an id field, only a doc field. {"doc": "Using Large Language Models in Pathway is simple: just call the functions from `pathway.stdlib.ml.nlp`!"} What if I
26.
by Arimbr 3y ago
Hi, interesting! > Then it processes and organizes these documents by building a 'vector index' using the Pathway package. What is the Pathway package?
27.
by Arimbr 3y ago
Nice list of resources!
28.
dbt Cloud or dbt Core for enterprise data platform(datacoves.com)
1 points by Arimbr 3y ago|0 comments
29.
The future analytics developer experience(petrjanda.substack.com)
1 points by Arimbr 4y ago|0 comments
30.
Shifting Data Quality to the Left of the Data Development Life Cycle(datafold.com)
2 points by Arimbr 4y ago|0 comments

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