bobismyuncle

22 ms·

31.
How Tech-Enabled Networks of Software Teams Work(infoq.com)
1 points by bobismyuncle 2y ago|0 comments
32.
LLM Pruning and Distillation in Practice: The Minitron Approach(arxiv.org)
1 points by bobismyuncle 2y ago|0 comments
33.
RAG for a Codebase with 10k Repos(codium.ai)
2 points by bobismyuncle 2y ago|0 comments
34.
RAG for a codebase with 10k repos(codium.ai)
2 points by bobismyuncle 2y ago|0 comments
35.
Odin: Uber's Stateful Platform(uber.com)
1 points by bobismyuncle 2y ago|0 comments
36.
Running Small Language Models at the Edge(thenewstack.io)
2 points by bobismyuncle 2y ago|0 comments
37.
by bobismyuncle 2y ago
Noa’s mom is terminally ill with cancer and has pleaded to be able to hug her daughter again in the few months she has left. Such happy news!!
38.
by bobismyuncle 2y ago
Curious why you decided to open source your entire product. Are you moving to an open core model? I’d expect in that case that much of 2, 3 & 4 would have stayed closed. Would be grateful if you can share your reasoning
39.
by bobismyuncle 2y ago
I think you’re spot on that currently it can only test what the code actually does. That’s probably why they specify that it’s for regression tests which are meant to do exactly that - test that future changes to the code do not change the
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Cover Agent: open source regression test generation tool(github.com)
49 points by bobismyuncle 2y ago|5 comments
41.
Using a vector database to find Waldo(weaviate.io)
2 points by bobismyuncle 2y ago|0 comments
42.
by bobismyuncle 4y ago
It's pretty clear that OpenAI could fine tune ChatGPT to pass the Turing test if they wanted to. Same as with LaMDA, OpenAI will intentionally keep things in place so that ChatGPT fails on technicalities. There's clearly some kind
43.
by bobismyuncle 4y ago
Some of these are lessons you only really learn once you make the mistake yourself