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A team of researchers from Meta Super Smart Labs, National University of Singapore and Rice University unveiled Re-list (representation of rag)a decoding framework that can reconsider retrieval enhancement power generation (RAG) efficiency. Refrag by...
The old rulebook is outdated and now the answers about the ideal number of ads should be considered variable. Things are changing… Old rules Until recently, there was a clear answer to this...
Latte Language Technology Company Tilde Published Tildeopen LLMopen source basic big word model (LLM) dedicated European Languagessharply focused on underrepresented and smaller national and regional languages. This is a strategic leap towards linguistic equity...
Large language models (LLMS) often produce “illusions” – seemingly reasonable results but incorrect output. Despite improvements in training methods and architecture, the hallucination remains. A new study by Openai A rigorous explanation is provided:...
In this advanced Deep speed Tutorial, we provide hands-on walkthroughs for effectively training cutting-edge optimization techniques for large language models. By combining zero optimization, mixed semen training, gradient accumulation, and advanced deep-speed configuration, the...
Yandex introduced Argus (autoregressive generative user order modeling)a large-scale transformer framework for recommendation systems that can scale up to one billion parameters. This breakthrough led Yandex to list a small number of global technology...
Hug face just released finean open multi-modal dataset designed to set new standards for Visual Models (VLMS). and 17.3 million images,,,,, 24.3 million samples,,,,, 88.9 million Q&A turns,almost 10 billion answer tokensFineVision will position...
Alibaba’s QWEN team unveiled QWEN3-MAX-PREVIEW (instruction)a new flagship large language model More than 1 trillion parameters– The largest so far. It is accessible via default settings in QWEN chat, Alibaba Cloud API, OpenRouter, and...
What is a personal health agent? Large Language Models (LLMS) show strong performance in various fields such as clinical reasoning, decision support and consumer health applications. However, most existing platforms are designed as single-purpose...
In this tutorial, we propose a complete end-to-end natural language processing (NLP) pipeline Gensim and a supported library designed to run seamlessly in Google Colab. It integrates multiple core technologies into modern NLP, including...