charbull

5 ms·

1.
by charbull 9mo ago
with LLMs in a few years software would be a low level thingy that people used to spend hours writing and debugging. like assembly back in the day. software is becoming more and more cheaper to put in place. craftsmanship is in the product
2.
Show HN: Training an LLM to Play Wordle with RL on Apple Silicon(charbull.github.io)
1 points by charbull 1y ago|0 comments
3.
by charbull 3y ago
Switched to an AI team 8 months ago. Ended up doing infra and api integration for llm tuning which is a nice way to start ramping up to the field. With every integration learned new things: Lora/pets, spin up servers to host the models
4.
by charbull 3y ago
slideware professionals got better at making slides with LLMs
5.
by charbull 3y ago
I now find so many answers on geek for geeks website, it comes with a well written documentation
6.
by charbull 3y ago
isn't that the quest of every galaxy wars movie...
7.
by charbull 3y ago
it's not really open source https://github.com/facebookresearch/llama/blob/main/LICENSE
8.
by charbull 3y ago
very cool !
9.
by charbull 4y ago
100%
10.
by charbull 4y ago
I had a very good experience using safe 4.x The whole department participated. Edge Software Cloud platform Application team It allowed the 3 teams to have better communication, things were written, we knew what we are building and how&#x2F
11.
by charbull 4y ago
But then your spending your time at the mall instead of exploring
12.
by charbull 4y ago
Disagree. In one of the companies I worked for. Management decided to adopt safe agile. We had a dedicated agile coach for the whole department. Each team went to learn the safe agile principles and framework. The main focus was how do th
13.
by charbull 4y ago
Can you put this in context of the problem/use case /need you are solving for ?
14.
by charbull 4y ago
What about sparql?
15.
by charbull 4y ago
Can't we just plant trees ?!? And take care of the oceans? Plankton and trees are the answer ! We are removing trees to build giant factories ?
16.
by charbull 5y ago
The data sample is a bit low? 1200 people
17.
OLGA an Ontology Library Generator(ecostruxure.github.io)
2 points by charbull 8y ago|0 comments