​ Summarization is the technique of condensing sizable information into a compact and meaningful form, and stands as a cornerstone of efficient communication in our information-rich age. In a world full of data, summarizing long texts into brief summaries saves time and helps make informed… Read More »Techniques for automatic summarization of documents using language models Nick Biso AWS Machine Learning Blog

​Making AI more helpful for everyone. Making AI more helpful for everyone.  Read More  

​ Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback. When prompted correctly,… Read More »Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock Mohamed Ali Jamaoui AWS Machine Learning Blog

​ This post is co-written with Stanislav Yeshchenko from Q4 Inc. Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A chatbots. We continue to see emerging challenges stemming from the nature of the assortment of datasets available. These datasets are… Read More »How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot Stanislav Yeshchenko AWS Machine Learning Blog

​ A new era of autonomous vehicle technology, known as AV 2.0, has emerged, marked by large, unified AI models that can control multiple parts of the vehicle stack, from perception and planning to control. Wayve, a London-based autonomous driving technology company, is leading the… Read More »AV 2.0, the Next Big Wayve in Self-Driving Cars Kristen Yee – Archives Page 1 | NVIDIA Blog

​ Today, AI finds its application in almost every field imaginable. It has definitely transformed our lives, streamlining processes and enhancing efficiency in ways we couldn’t have imagined before. Its capabilities could be improved even further by advancements in understanding human skills, which could facilitate… Read More »Meet Ego-Exo4D: A Foundational Dataset and Benchmark Suite to Support Research on Video Learning and Multimodal Perception Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ While ChatGPT is breaking records, some questions are raised about the security of personal information utilized in OpenAI’s ChatGPT. Recently, researchers from Google DeepMind, University of Washington, Cornell, CMU, UC Berkeley, and ETH Zurich discovered a possible issue: using certain instructions, one may trick… Read More »Privacy Concerns Surrounding LLMs like ChatGPT: This AI Paper Unveils Potential Risks and Safeguarding Measures Niharika Singh Artificial Intelligence Category – MarkTechPost

​ With the most recent models in its Qwen series of open-source AI models, Alibaba Cloud is pushing the boundaries of AI technology even further. Alibaba has expanded its AI solutions with the release of Qwen-1.8B and Qwen-72B, as well as specialized chat and audio… Read More »Alibaba AI Open-Sources Qwen Series that Includes Qwen-1.8B, Qwen-7B, Qwen-14B, and Qwen-72B along with Qwen-Chat Series Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ The problem of video understanding and generation scenarios has been addressed by researchers of Tencent AI Lab and The University of Sydney by presenting GPT4Video. This unified multi-model framework supports LLMs with the capability of both video understanding and generation. GPT4Video developed an instruction-following-based… Read More »Tencent AI Lab Introduces GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation Sana Hassan Artificial Intelligence Category – MarkTechPost

​ The problem of achieving superior performance in robotic task planning has been addressed by researchers from Tsinghua University, Shanghai Artificial Intelligence Laboratory, and Shanghai Qi Zhi Institute by introducing Vision-Language Planning (VILA). VILA integrates vision and language understanding, using GPT-4V to encode profound semantic… Read More »How do You Unveil the Power of GPT-4V in Robotic Vision-Language Planning? Meet ViLa: A Simple and Effective AI Method that Harnesses GPT-4V for Long-Horizon Robotic Task Planning Sana Hassan Artificial Intelligence Category – MarkTechPost