dpbrinkm

6 ms·

1.
by dpbrinkm 3mo ago
Was it really that bad when you would use skills like the superpowers pack?
2.
by dpbrinkm 3mo ago
I can see this being useful if only for the fact I can search all my conversations with my 50 different agents on different providers easier. I spend so much time looking through my cc/codex session or the desktop app or Hermes agent o
3.
by dpbrinkm 1y ago
Awesome for Raza and team! they built something amazing and it looks like it paid off
4.
Our dev team tried replacing typing with talking and it's working(deepgram.com)
3 points by dpbrinkm 1y ago|0 comments
5.
While price per token is going down, price per answer is going up(home.mlops.community)
1 points by dpbrinkm 2y ago|0 comments
6.
Data Engineering for AI/ML(home.mlops.community)
3 points by dpbrinkm 2y ago|0 comments
7.
AI in Production Virtual Conference(home.mlops.community)
1 points by dpbrinkm 3y ago|0 comments
8.
Building a Knowledge Assistant at Scale(mlops.community)
2 points by dpbrinkm 3y ago|0 comments
9.
by dpbrinkm 3y ago
In rust we trust. I think the whole thing is built with rust hence the crab references all over the place
10.
Current State of Open Source AI Book(book.premai.io)
3 points by dpbrinkm 3y ago|0 comments
11.
Collaboration and Strategy // Vin Vashishta // MLOps Podcast(open.spotify.com)
1 points by dpbrinkm 3y ago|0 comments
12.
From Virtualization to AI Integration // Lamia Youseff // MLOps Podcast(open.spotify.com)
1 points by dpbrinkm 3y ago|0 comments
13.
Michelle Marie Conway MLOps Podcast(open.spotify.com)
1 points by dpbrinkm 3y ago|0 comments
14.
Three Email Templates to Get Your Boss to Pay for That Course(mlops.community)
1 points by dpbrinkm 3y ago|1 comments
15.
by dpbrinkm 3y ago
If you have an email that worked to convince your boss to pay for continued education please share and i will add you to the post with attribution
16.
Evaluation LLM Survey(docs.google.com)
2 points by dpbrinkm 3y ago|1 comments
17.
by dpbrinkm 3y ago
All data/responses will be open sourced for everyone to look at (after cleaning PII)
18.
FrugralGPT: Better Quality and Lower Cost for LLM Applications(open.spotify.com)
2 points by dpbrinkm 3y ago|0 comments
19.
LLMs at Angellist(open.spotify.com)
1 points by dpbrinkm 3y ago|0 comments
20.
All the hard stuff about LLMs (Podcast Version)(home.mlops.community)
1 points by dpbrinkm 3y ago|0 comments
21.
Python Power: How Daft Embeds Models and Revolutionizes Data Processing(open.spotify.com)
1 points by dpbrinkm 3y ago|0 comments
22.
TinyML to LLMs(open.spotify.com)
2 points by dpbrinkm 3y ago|0 comments
23.
GPU Inference Costs for fine tuning LLMs(mlops.community)
2 points by dpbrinkm 3y ago|0 comments
24.
Prem – Private Open Source LLMs for All(medium.com)
17 points by dpbrinkm 3y ago|4 comments
25.
by dpbrinkm 3y ago
Looks cool
26.
by dpbrinkm 3y ago
>someone who has created several LLM-based applications running in production Come and talk about what you are doing and challenges of it at our LLM in production virtual conference? https://home.mlops.community/home&#x2F
27.
Age of Industrialized AI(home.mlops.community)
1 points by dpbrinkm 3y ago|0 comments
28.
Vector Databases(devtools.wtf)
3 points by dpbrinkm 3y ago|0 comments
29.
Airflow Sucks for MLOps?(open.spotify.com)
1 points by dpbrinkm 3y ago|0 comments
30.
by dpbrinkm 3y ago
>I think companies are slowly starting to realize that setting up machine learning at scale isn't as simple as deploying poorly written code by research scientists to managed platforms. This is some truth right here

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