To demonstrate the effectiveness of CulturalGround, we fine-tune an existing multimodel model Pangea on a subset of the dataset. The resulting model achieves state-of-the-art performance for its model size on multiple cultural benchmarks in PangeaBench and other benchmarks. Below
LLMS
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CulturalGround: Building Inclusive Multimodal LLMs for Global Contexts
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Current multimodal LLMs excel in English and Western contexts but struggle with cultural knowledge from underrepresented regions and languages. How can we build truly globally inclusive vision-language models? We are introducing CulturalGround, a large-scale dataset with 22M
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LLM Performance Drops on Non-Standard Medical Questions
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Another example of a persistent problem with LLMs. They do very well on standard medical questions, but when the right answer is replaced with “none of the above” performance drops. More recent models generally have lower drops in performance. https://
jamanetwork.com/journals/jaman
etworkopen/fullarticle/2837372
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Top Artificial Intelligence Books for Career Growth and Learning
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Explore TOP #Artificialintelligence Books for reading, learning, growing your knowledge and advancing your career: http://
amzn.to/2YRE6Sj
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#DataScience #DataMining #MachineLearning #AI #DeepLearning #Mathematics #GenerativeAI #LLMs #Algorithms #DataScientist #Python -
LLM Engineer’s Handbook: Master Large Language Models from Concept to Production
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LLM Engineer's Handbook — Master the art of engineering Large Language Models #LLMs from concept to production: http://
amzn.to/4dUQrv6 v/ @PacktDataML Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine with the help of hands-on -
Jan-v1 4B Model: Open-Source Web Search Alternative to Perplexity Pro
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Jan-v1 4B model for web search, an open-source alternative to Perplexity Pro?
— Chubby♨️ (@kimmonismus) 12 août 2025
Yes, please! Really cool! https://t.co/VBGhcxwqvsJan-v1 4B model for web search, an open-source alternative to Perplexity Pro? Yes, please! Really cool!
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Google Gemini CLI integrates with Replicate MCP for terminal model management
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Google's Gemini CLI works with Replicate MCP.
— Replicate (@replicate) 12 août 2025
Use it to discover, compare, and run AI models from the comfort of your terminal.
Docs: https://t.co/1q5tU155Ni pic.twitter.com/PTnA0oPgIoGoogle's Gemini CLI works with Replicate MCP. Use it to discover, compare, and run AI models from the comfort of your terminal. Docs: https://
mcp.replicate.com/#gemini -
AI Lucie and Albert: Millions of Public Money Wasted, Unused
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And we, for public servants, have the AIs Lucie and Albert, paid largely with public money (several million euros) that were just thrown in the trash because no one uses them. COCORICO!!!
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GPT-5 Admits When It Doesn’t Know Improving Over Previous Models
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Des cas commencent à émerger où GPT-5 admet qu’il “ne sait pas” répondre ! C’est l’une des grandes améliorations par rapport aux modèles précédents : au lieu d’inventer, il vous informe de ses limites. Franchement, j'ai jamais compris pourquoi ils ne voulaient pas implémenter
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RL Scaling Progress: Engineering Breakthrough in Model Training
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i am GIDDILY following the open progress in RL scaling notable that it takes such a herculean engineering effort to train a model for 3000 steps. but these results are undeniable, esp with shortened context also it's only been two months since v1… hard to keep up…