CognitiveLab

Read more : cognitivelab.in/blog/introduci… We thank @modal for sponsoring compute for this research.

Also excited to release "M3DR: Towards Universal Multilingual Multimodal Document Retrieval" paper preprint that cover the framework we used to train these models

Today we are excited to launch NetraEmbed SoTA multimodal multilingual document retrieval model. > Supports 22 languages > ~ 150% improvement over existing baselines > NayanaIR-Bench a open source multilingual document retrieval benchmark

Happy to share got a paper accepted at a neurips workshop This paper mainly tackles long context reasoning for multimodal models(vlms) with key focus citations and reasoning based re ranking got some good results with sft + rl(grpo) will put it on arxiv soon!

@caleb_friesen @adithya_s_k Thank you covering this !!!

Bengaluru-based CognitiveLab is the only Indian company to secure the six-figure, non-dilutive 2024 Llama Impact Grant for Nayana, a family of models designed to handle text, vision, and speech across 22 languages (10 Indian). Congrats @adithya_s_k! x.com/cognitivelab_a…

This week was arguably one of the biggest in 2025 for India's AI industry. I summarized everything from Sarvam, Maya Research, Lossfunk, CognitiveLab, and more. Here's everything that happened:

@kn_neeraj @paraschopra @lossfunk @adithya_s_k Most of our work is open source, and we'll keep updating our website with the latest updates. We are active on GitHub and HuggingFace too. cognitivelab.in

So happy to hear that @lossfunk resident @adithya_s_k got a six figure non-dilutive grant for his multi-language, multi-modal AI (Nayana) that he started during his residency! They're the only team from 🇮🇳 India to get a grant. Don't know why, but I feel like a proud parent :)

We’re deeply honored by @Meta /@AIatMeta support and grateful to our incredible team for driving Nayana forward Stay tuned as we push the boundaries of multilingual, multimodal, multitask AI.

Nayana’s Mission: Democratize AI for education, healthcare, governance, & cultural preservation across languages & modalities. Official Announcement : about.fb.com/news/2025/04/l…

🚀 Thrilled to announce CognitiveLab wins the six-figure Llama Impact Grant by @Meta ! 🇮🇳 As India's only recipient, we're powering Nayana a multimodal, multilingual multi task AI model family! #AI #MultilingualAI #Innovation

👉🏼 Finetune for multi turn chat conversation 👉🏼 Performers decent in cross lingual tasks 👉🏼 Will soon put out the evals on Indic LLM leader board huggingface.co/spaces/Cogniti…

Our first attempt at fine-tuning LLama3 for Indic languages. we choose Hindi as LLama3 was efficient at tokenising it Many more experiments/iterations are in progress

🚨 Introducing Gaja 🚨 ~ (Llama3-Gaja) A series of open source bilingual Hindi-English LLMs finetuned on top of Llama3-8b by @AIatMeta huggingface.co/Cognitive-Lab/…

evaluated LLama3 using indic_eval (github.com/adithya-s-k/in…) on English, Hindi and Kannada results are there on the Indic LLM Leader board huggingface.co/spaces/Cogniti… 👉🏼 It performs significantly better than LLama2 in most of the benchmarks. 👉🏼 In comparison to Gemma, it falls a little short. 👉🏼 Tokenization for Devanagari is efficient when compared to LLama2. (both indic_eval and indic llm leaderboard are in alpha testing we are activlty developing to make it more reliable)

The heart of the Leaderboard is indic_eval - github.com/adithya-s-k/in… is an evaluation library that integrates seamlessly with the indic LLM leaderboard.

Features include: 👉🏼 Support for 7 Indic languages. 👉🏼 Open source, hosted on Hugging Face. 👉🏼 Support for 4 Indic benchmarks, with more to be added. 👉🏼 Seamless integration with indic_eval This is the alpha release and we will be adding a lot more tested features soon

Introducing 🚨Indic LLM Leaderboard🚨 (alpha release)