DMax Aggressive Parallel Decoding for dLLMs paper:

We are excited to introduce Mercury, the first commercial-grade... diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.show more

In the Mean While #Soundariya In Parallel Universe Be... like !! Same Answer For Two Different Question paper 😂😂 #BiggBossTamil8 #BiggBossSeason8Tamil #BiggBossSeason8Tamilshow more

Can $300 RTX3060 be faster than $10,000 A100 for... LLM decoding?🧐Yes Introduce EAGLE-2: - 4.26x🚀vanilla (13B) - 1.4x🚀EAGLE (13B) - No extra training than EAGLE - Maintain distribution Paper: Code: Demo:show more

DECODING FOR "ARIRANG" LOCKED RECORDINGS ON SPOTIFY STARTED.. (... #BTS_ARIRANG #BTSxSpotifyshow more

Added context to my tiny diffusion model to enable... sequential generation of longer outputs! Currently the context is a quarter of the sequence length (seq_len=256, context_len=64). I have a theory that the less semantic-value-per-token, the worse the “curse of parallel decoding” is. With parallel decoding, we independently predict multiple tokens in one step. With the sentence “My poker hand was a ___ ___”, two valid predictions are “two pair” and “straight flush”. Because each token prediction is independent though, we can end up with a nonsensical output like “two flush”. This seems to be exacerbated with low semantic-value-per-token, as now you need more tokens to express the same concept. Instead of needing to independently predict two tokens, we might need to predict 10 instead (which is of course much harder). The model currently has noticeably worse output compared to nanogpt (similar size) and I believe this is a main reason. I’ll try adding confidence-aware parallel decoding (from NVIDIA’s Fast-dLLM paper) and other tricks and see how much they improve generation quality.show more

Parallel Community Airdrop 🪂 All Parallel users will be... eligible for an upcoming points airdrop! More details to be announced soon.show more

BU meets Parallel Web Systems! We're collaborating with Parallel... Web Systems for our web search on BU app! Read our blogpost! 👇show more

Origami horse animated by Parallel Studio for Cheval Blanc hotels.

Press 𝐘 for aggressive catch. 🎮 #STP

Aggressive protest in #Kota ! NEET aspirants and their... parents held a protest against alleged irregularities & paper leak in #NEET-UG exam results in #Kota, Rajasthan, #NEET_परीक्षा_परिणाम Congress BJP #NEET_पेपर_रद्द_करो #RENEETshow more

Revised landing screen for Parallel mobile as per feedback.... Cycles different factions. //show more

Paper Cup Bunny Craft for Kids

Easy Craft for Kids- Paper Firework

MMaDA-Parallel Multimodal Large Diffusion Language Models for Thinking-Aware Editing... and Generationshow more

Reading an entire paper for a source

World Record for Paper Airplane Flying Distance

rosé for paper magazine behind the scenes