Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
jzone3
searching Neon…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
8 ms
·
1.
▲
Show HN: Markdown Viewer for Mac Finder
(quicklookmd.com)
1 points
by
jzone3
3mo ago
|
0 comments
2.
▲
by
jzone3
8mo ago
Internet pioneers need more attention! Love it
3.
▲
Speaking in "LLM Idioms"
(blog.promptlayer.com)
2 points
by
jzone3
1y ago
|
0 comments
4.
▲
by
jzone3
1y ago
HumanLoop was one of the OGs here. Respect to the team If you are moving off, PromptLayer is probably the competitor with the most similar vision. Reach out to me jared @ the domain (promptlayer.com)
5.
▲
by
jzone3
1y ago
That too haha
6.
▲
How to Interview AI Engineers
(blog.promptlayer.com)
1 points
by
jzone3
1y ago
|
3 comments
7.
▲
by
jzone3
2y ago
Hmmmm. On one hand "closing.wtf" definitely stands out... So many startups have boring branding. But on the other hand, you are building in a legacy space. It's important to build trust & pay attention to the feedback her
8.
▲
Why fine-tuning is (probably) not for you
(blog.promptlayer.com)
2 points
by
jzone3
2y ago
|
1 comments
9.
▲
Speeding up prompt iteration with a CMS (tips for prompt management)
(blog.promptlayer.com)
1 points
by
jzone3
2y ago
|
0 comments
10.
▲
Early Reactions to GPT-4o
(blog.promptlayer.com)
1 points
by
jzone3
2y ago
|
0 comments
11.
▲
Prompt Routers and Modular Prompt Architecture
(blog.promptlayer.com)
1 points
by
jzone3
2y ago
|
0 comments
12.
▲
What can we learn from ChatGPT jailbreaks?
(blog.promptlayer.com)
1 points
by
jzone3
2y ago
|
0 comments
13.
▲
Building ChatGPT with a Prompt CMS
(blog.promptlayer.com)
1 points
by
jzone3
2y ago
|
0 comments
14.
▲
Thenewboston is back (Tutorial on LLM memory) [video]
(youtube.com)
2 points
by
jzone3
2y ago
|
0 comments
15.
▲
Building ChatGPT from scratch, the right way
(blog.promptlayer.com)
3 points
by
jzone3
2y ago
|
0 comments
16.
▲
Migrating prompts to open source models
(blog.promptlayer.com)
2 points
by
jzone3
2y ago
|
0 comments
17.
▲
Favorites from our prompt engineering tournament
(blog.promptlayer.com)
39 points
by
jzone3
2y ago
|
20 comments
18.
▲
Show HN: Composable LLM prompting and inheritance [video]
(youtube.com)
1 points
by
jzone3
3y ago
|
0 comments
19.
▲
Best practices in LLM prompt management and collaboration
(blog.promptlayer.com)
1 points
by
jzone3
3y ago
|
0 comments
20.
▲
Batch GPT and Claude Evaluations
(twitter.com)
2 points
by
jzone3
3y ago
|
0 comments
21.
▲
Is GPT-4 experiencing a slowdown? (latency graph)
(promptlayer.com)
1 points
by
jzone3
3y ago
|
0 comments
22.
▲
by
jzone3
4y ago
That's not a bad description. I don't have a good comparison— we mostly just built this as a tool that we personally needed. I like to think of it like W&B but also in the world of logging tools like Prometheus. LLMs are a fun
23.
▲
by
jzone3
4y ago
For our purposes, anyone building on LLMs and tinkering with the prompts to use.
24.
▲
Show HN: PromptLayer – Track, debug, and maintain GPT prompts in prod
(promptlayer.com)
29 points
by
jzone3
4y ago
|
11 comments
25.
▲
LangChain and PromptLayer: Devtools on Top of LLMs
(medium.com)
1 points
by
jzone3
4y ago
|
0 comments
26.
▲
Show HN: Open-Source managed Python decorator crons
(magniv.io)
2 points
by
jzone3
4y ago
|
0 comments
27.
▲
by
jzone3
5y ago
Yes! Please sign up on our website, would love to chat further and see if it can help. Our goal is to decrease reliance on data engineers when building data teams
28.
▲
by
jzone3
5y ago
We will have an open-source core framework (the Python decorator part). Kind of following the DBT model. Still very early (in alpha) so will not open source until the beta development begins.
29.
▲
by
jzone3
5y ago
Thanks man!! Now back to building..
30.
▲
by
jzone3
5y ago
Yes we are still very early! The core framework will be released to design partners first then to the community.
More ›