_peregrine_

5 ms·

31.
by _peregrine_ 1y ago
No it's definitely interesting. It suggests that Opus 4 actually failed to write proper syntax on the first attempt, but given feedback it absolutely nailed the 2nd attempt. My takeaway is that this is great for peer-coding workflows -
32.
by _peregrine_ 1y ago
yeah this was a surprising result. of course, bear in mind that testing an LLM on SQL generation is pretty nuanced, so take everything with a grain of salt :)
33.
by _peregrine_ 1y ago
yeah that surprised me too
34.
Claude Opus 4 is the best model at SQL generation(llm-benchmark.tinybird.live)
2 points by _peregrine_ 1y ago|2 comments
35.
by _peregrine_ 1y ago
According to our SQL Generation Benchmark (methodology linked in the results dash), Claude Opus 4 is the best of the popular models at SQL generation by a pretty decent margin.
36.
by _peregrine_ 1y ago
Already test Opus 4 and Sonnet 4 in our SQL Generation Benchmark ( https://llm-benchmark.tinybird.live/ ) Opus 4 beat all other models. It's good.
37.
We graded 19 LLMs on SQL. You graded us(tinybird.co)
4 points by _peregrine_ 1y ago|0 comments
38.
Lessons learned from 5 years operating ClickHouse clusters: Part II(tinybird.co)
2 points by _peregrine_ 2y ago|0 comments
39.
Run Tinybird on your own infra (for free)(tinybird.co)
1 points by _peregrine_ 2y ago|0 comments
40.
Tinybird Forward Hackathon(github.com)
1 points by _peregrine_ 2y ago|1 comments
41.
by _peregrine_ 2y ago
Chance to win >$3000 in credits from devtools like Vercel, Tinybird, Dub, Resend, etc.
42.
Forward: Evolving Tinybird for the AI-native developer(tinybird.co)
1 points by _peregrine_ 2y ago|0 comments
43.
Real-time logs analytics architectures that scale(tinybird.co)
1 points by _peregrine_ 2y ago|0 comments
44.
Analyzing the Dub.co Analytics Playbook(tinybird.co)
1 points by _peregrine_ 2y ago|0 comments
45.
AI Engineer Starter Pack – Volume 2(aiengineerpack.com)
2 points by _peregrine_ 2y ago|0 comments
46.
How to analyze MCP server usage(tinybird.co)
3 points by _peregrine_ 2y ago|1 comments
47.
by _peregrine_ 2y ago
Since MCP Servers are installed locally, it can be a bit painful to log and analyze usage of MCP Servers you built. My coworker built a utility to capture remote logging events from our MCP Server, could be extended to any MCP Server. Free
48.
Hey Claude, help me analyze Bluesky data(tinybird.co)
7 points by _peregrine_ 2y ago|1 comments
49.
by _peregrine_ 2y ago
This is the full, unedited transcript of our conversation with Claude, whose context-awareness is provided by a v0 Tinybird MCP Server.
50.
by _peregrine_ 2y ago
I think Tinybird is a nice option here. It's sort of a managed service for ClickHouse with some other nice abstractions. For your streaming case, they have an HTTP endpoint that you can stream to that accepts up to 1k EPS and you can m
51.
Apache Kafka and Tinybird (ClickHouse) for Streaming Analytics HTTP APIs(kai-waehner.de)
1 points by _peregrine_ 3y ago|0 comments
52.
Event sourcing with Kafka: A practical example(tinybird.co)
2 points by _peregrine_ 3y ago|0 comments
53.
What helps people get comfortable on the command line?(jvns.ca)
15 points by _peregrine_ 3y ago|5 comments
54.
After the Modern Data Stack: Welcome Back, Data Platforms(substack.timodechau.com)
1 points by _peregrine_ 3y ago|0 comments
55.
Performance Update: Redpanda vs. Kafka with KRaft(redpanda.com)
3 points by _peregrine_ 3y ago|0 comments
56.
Killing the ProcessPoolExecutor(tinybird.co)
3 points by _peregrine_ 3y ago|1 comments
57.
Airbyte Now Supports Vector Databases Powered by LangChain – Airbyte(airbyte.com)
2 points by _peregrine_ 3y ago|0 comments
58.
Data-driven CI pipeline monitoring with pytest(tinybird.co)
2 points by _peregrine_ 3y ago|0 comments
59.
There is no Data Engineering roadmap(alasdairb.com)
4 points by _peregrine_ 3y ago|1 comments
60.
Demystifying Kafka Lag: A Step-by-Step Guide to Monitoring and Resolving Lag(medium.com)
2 points by _peregrine_ 3y ago|0 comments

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