fatso784

5 ms·

1.
by fatso784 2mo ago
Notational programming explored this, also with quantum computing, except the spatial notation was interleaved in a well-established 1d language (Python): https://dl.acm.org/doi/10.1145/3526113.3545619
2.
by fatso784 4mo ago
My problem with this kind of work is—-obviously they do. Did anyone seriously think otherwise? I’m shocked why these are even questions deserving scientific scrutiny. Have people truly lost their critical thinking that badly already?
3.
As Slow as Possible(pippinbarr.com)
4 points by fatso784 6mo ago|0 comments
4.
by fatso784 9mo ago
Thanks!
5.
Show HN: A free affinity diagramming tool, in a single HTML file(ianarawjo.medium.com)
4 points by fatso784 9mo ago|2 comments
6.
Show HN: Splat, an Affinity Diagramming Tool in a Single HTML File(github.com)
1 points by fatso784 9mo ago|0 comments
7.
EvalGen: Helping Developers Create LLM Evals Aligned to Their Preferences(ianarawjo.medium.com)
3 points by fatso784 1y ago|0 comments
8.
Semantic Commit: Helping Users Update Intent Specifications for AI Memory(arxiv.org)
2 points by fatso784 1y ago|0 comments
9.
What AI Engineers Can Learn from Qualitative Research Methods(ianarawjo.medium.com)
1 points by fatso784 2y ago|0 comments
10.
by fatso784 2y ago
Sorry, but these people are not victims. I went through a tech PhD; it was well-known how fast the wind changes and the trendy topic falls by the wayside. Big data and crowdsourcing pre-AI boom, then ML, then ethics of AI (around 2020-21),
11.
by fatso784 2y ago
Wow. This actually disproves a key subtext of the match mentioned by some commentators: that Ding failed to convert winning positions to wins. Instead, it shows that Ding converted more often than Gukesh. The fact that Gukesh won seems more
12.
DocETL: A tool for creating LLM-powered data processing pipelines(ucbepic.github.io)
4 points by fatso784 2y ago|0 comments
13.
Aligning LLM-as-a-Judge with Human Preferences(blog.langchain.dev)
1 points by fatso784 2y ago|0 comments
14.
LLM Wrapper Papers Are Hurting HCI Research(ianarawjo.medium.com)
3 points by fatso784 2y ago|0 comments
15.
Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs(arxiv.org)
2 points by fatso784 2y ago|0 comments
16.
by fatso784 2y ago
“Do politics have artifacts?” was the rejoinder article. IMO that article should be as widely read as the main one, because it provides a warning to those who take the main one as gospel. Link: https://journals.sagepub.com/d
17.
If in a Crowdsourced Data Annotation Pipeline, a GPT-4(arxiv.org)
1 points by fatso784 3y ago|0 comments
18.
Antagonistic AI(venturebeat.com)
3 points by fatso784 3y ago|0 comments
19.
How to Compare Prompts with ChainForge [video](youtube.com)
1 points by fatso784 3y ago|0 comments
20.
AI for ChainForge Beta(github.com)
1 points by fatso784 3y ago|0 comments
21.
by fatso784 3y ago
This seems like a sheets implementation of something like ChainForge ( https://github.com/ianarawjo/ChainForge ). It's curious that Anthropic is entering the LLMOps tooling space ---this definitely comes as a surpri
22.
ChatGPT does not have seasonal affective disorder(ianarawjo.medium.com)
2 points by fatso784 3y ago|0 comments
23.
There is no "seasonal affective disorder" of ChatGPT(twitter.com)
1 points by fatso784 3y ago|1 comments
24.
by fatso784 3y ago
The original poster making this claim used a t-test to compare means ( https://x.com/RobLynch99/status/1734278713762549970?s=20 ). Turns out the data is not normally distributed, making a t-test worthless ( https:&#
25.
by fatso784 3y ago
Can’t reproduce this. See for yourself: https://x.com/IanArawjo/status/1734307886124474680?s=20 Inspectable evaluation flow in ChainForge: https://chainforge.ai/play/?f=2yvqkpe1vpus8
26.
by fatso784 3y ago
This seems like a sheets implementation of something like ChainForge ( https://github.com/ianarawjo/ChainForge ). It's curious that Anthropic is entering the LLMOps tooling space ---this definitely comes as a surpri
27.
There will never be fully automated prompt engineering(arxiv.org)
2 points by fatso784 3y ago|0 comments
28.
ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing(arxiv.org)
4 points by fatso784 3y ago|1 comments
29.
by fatso784 3y ago
ChainForge lets you do this, and also setup ad-hoc evaluations with code, LLM scorers, etc. It also shows model responses side-by-side for the same prompt: https://github.com/ianarawjo/ChainForge
30.
Ask HN: Have LLM API Updates or Deprecations Impacted You?
4 points by fatso784 3y ago|1 comments

More ›