Localized reading
Coraz bardziej sądzę, że przyszłe oprogramowanie będzie łączyć kod sterujący przepływem z małymi programami neuronowymi do „rozmytych” osądów. Właśnie to badałem w ProgramAsWeights, które odpowiada na pytanie, skąd biorą się te programy…
Original post / EN
I increasingly think future software will combine code for control flow with small neural programs for "fuzzy" judgments. That's what I've been exploring with ProgramAsWeights, which answers the question of where those neural programs come from: they are "compiled" from English descriptions. For example, I combined 30 neural programs with a decision tree to build a course website helper that looks like a chatbot but runs locally. Each small program handles a question like "Which specialist answerer should this be routed to", and code controls the overall flow. You can try building with it here: https://t.co/Bwgcn362bc
- views
- 13,5 tys.
- likes
- 171
- saves
- 140
- reposts
- 21
Links and projects
Quoted post
Diogo Almeida @CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x https://t.co/JSybNG2BKJ
Zobacz oryginał ↗Źródło
This independent archive preserves a public post with attribution. Text, media, account details and trademarks belong to their respective owners.
