Hey Everyone, While I was trying to utilize Gemma 4 through the LiteRT api in my android app, I noticed that Gemma 4 was throwing errors when loading it on my Google Pixel 9 test device of the "mtp weights being an incompatible tensor shape&…
So the idea is simple, instead of keeping knowledge base constant (as in RAG), keep updating it with new questions asked hence when repeated, or similar questions asked, no repetition happens. got a good resource from here : https://youtu.be/VjxzsCurQ-…
Interesting pattern: despite wildly different total sizes, many recent MoE models land around 10B active params. Qwen 3.5 122B activates 10B. MiniMax M2.7 runs 230B total with 10B active via Top 2 routing. Training cost scales as C ≈ 6 × N_active × T. …
I’ve been using Pi / coding-agent SDK for non-coding work: document KBs without vector DBs, structured extraction from 100+ PDFs, and database benchmarking by having the agent write and run Python. The pattern is strange but consistent: give the agent …
Hey, Im trying to see how much does synthetic data help with training ASR model. What is the best TTS? Im looking for something that sounds natural and not robotic. It would be really nice if the TTS could mimic english accents (american, british, fren…
The benchmarks look really impressive for such small models. Even in general, they stand up well. Gemma 4 31B is (of all tested models): – 3rd on Dutch – 2nd on Danish – 3rd on English – 1st on Finish – 2nd on French – 5th on German – 2nd on Ital…
background: I write mostly in Korean and my Claude API bill is kind of embarrassing. Korean tokenizes really inefficiently compared to English for the same meaning, so a chunk of the cost is basically just encoding overhead. the idea is a small proxy i…
After releasing last week and forgetting to release the models, the Ace Step team has released the Ace Step 1.5 XL Models: ACE-Step 1.5 XL — Turbo ACE-Step 1.5 XL — Base ACE-Step 1.5 XL — SFT submitted by /u/seamonn [link] [comme…
What happened to Wan? submitted by /u/Fresh_Sun_1017 [link] [comments]
ElevenLabs built a moat on proprietary weights and API lock-in. Mistral just put the weights on Hugging Face. The model captures not just the voice but the person. Accents, inflections, intonations, vocal fillers the "ums" and "ahs…