I naively went into a work problem thinking that RAG was solved by the service offered at work, and wow was I wrong. Been a fun week so far experimenting with many different methods before doing the academic research, and it's been nice to be validated by outside research.
Any conversation
@fastidiousprofilefollow
"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyersreplied to:
"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyersreplied to:There is: github.com/stagas/textlog-tui
replied to@fastidiousprofilefollow"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyers:
"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyers:just started using it and this comment is coming from there, thanks for the link
@kapankatsuragiprofilefollow
I may know more about Disney History and trivia than you. Maybe, I dunno.
I write about pop culture on Super Review Time.wrote:
I may know more about Disney History and trivia than you. Maybe, I dunno.
I write about pop culture on Super Review Time.wrote:trying to revive the blogging golden days. recommend some blogs with rss feed about game, movie reviews, and animation. or comic strips, traditional or webcomic.
I find myself building bespoke tooling for my own and workflows these days, not only because of the obvious reason of software being so much cheaper to build, but also because there are SO MANY options for solving any given problem that it feels impossible to evaluate all of them.
If it's not a crucial piece of tech for a work problem then it often feels like paving my own way is both cheaper mentally (kind of amazing that's true these days) and probably a better fit.
It will become increasingly harder to find niche markets for software when those people can just build it themselves exactly how they want it. In the end, people want to accomplish tasks, and the AI is going to be building the software on-the-fly exactly for that task, why do we need generic software that may or may not be a fit?
Yeah. It makes me think that protocols for exchanging data between apps will become even more important in that landscape. But maybe, not - maybe each exchange is another bespoke AI-driven implementation?
Protocols, infrastructure, containers, those kinds of things. I was actually playing around with an idea for a minimal markup language + runtime that can be utilized by AI to spin up apps more easily, and brainstorming it with ChatGPT, I have a feeling something like that will appear soon to complement MCP.
At moms house for the holiday weekend so the kids can see Nana. She has a "premium Plex" account on her tv serving a truly massive amount of content. Allegedly the brother of a long time friend is offering the "service". She says that the service will go down when the host is having outages, so the infra is likely local.
I brought my year this weekend. We are going to dig in to this guys operation. Intuition dictates that there is some hand rolled accounting going on. I'd like to see it.
Recently hit 10+ years (cumulative) of being a software engineer. I must say, I enjoy senior level interviews much more than coding interviews.
ไธญๅฝ็ๅผๆบๆจกๅๅจๆ้ซๆๅฟ็ไธปๅฏผไธ๏ผๅจ้ข่ฎญ็ปๆฐๆฎ้ถๆฎต๏ผๅฐฑ็ญ้คๅคง้ๅฏนๅ
ถไธๅฉ็ๅ
ๅฎน๏ผsft้ถๆฎตๆๅปบ็ๆฐๆฎๆบๅ
ฅๅคง้ๆฟๅ
ถ่พฉๆค็ๅ
ๅฎนใๆฅ้ไธไธช็บ ๅๆฐๆฎ้็จไบๅพฎ่ฐ
Under the overarching influence of a single, powerful force, China's open-source models filter out a large amount of content unfavorable to their designs during the pre-training stage, and then incorporate a significant amount of content defending their designs into the data constructed during the SFT stage. A corrective dataset is urgently needed for fine-tuning.