If you use LLM-as-judge, this one is worth reading.
(bookmark it)
It's actually one of the most effective ways to use LLM-as-a-Judge for evals.
Holistic judge scores hide both their reasoning and their ceiling effects.
BINEVAL decomposes each evaluation criterion into atomic yes-or-no questions, answers each independently per output, then aggregates the verdicts into calibrated multi-dimensional scores.
Every question-level verdict is inspectable, so you can diagnose exactly why an output scored low, and the same verdicts feed straight back as targeted prompt-improvement signal.
Across SummEval, Topical-Chat, and QAGS, it matches or beats UniEval and G-Eval, training-free, with especially strong results on factual consistency.
Paper: https://t.co/oar6BZcasm
Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX
@Shreyas_Pandeyy But i guess they are investing in founders who doesn't have even idea ,any pitch or anything . I guess 50-50 would be better,75% is too much if it succeed they will not get anything.
Unlimited-OCR 🔥New OCR from @PaddlePaddle
It can parse hundreds of pages in a single pass while maintaining stable speed.
The key idea is R-SWA (Reference Sliding Window Attention), which keeps KV cache constant during decoding.
🏆 93% on OmniDocBench
📈 +6% over DeepSeek-OCR
@zulian6979@stats_feed Bro it's free food who will refuse it ,in villages people with good amount land also takes it . If u have 5 member in family it's 25 kg /m u don't have to buy ration it's more than enough
@lichingngamba@AnthropicAI We have few startup like sarvam but it have to compete against google, opeai, anthropic and open source chinese model . Chinese company have the china Market no matter what they can survive,here sarvam is dependent on government contract and few company.
@lichingngamba@AnthropicAI We have researchers but quality and Number is not like US or china, specially we don't have company like google, nividia, anthropic etc who invest alot of money our IT company is distributing money in dividend.
@lichingngamba@AnthropicAI I guess that's the last worry, money and researcher are the real issue,most likely majority of indian data centre will provide compute for US model because they are the one investing.
@arroworks Why will indian navy will protect shadow fleet ? Indian and flippino are almost in every ship specially in these shadow fleet .most likely these fleet were supplying oil to different countries