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  1. [New paper] https://arxiv.org/abs/2607.21861

  2. Software engineering has expanded to solve new kinds of problems that weren’t practical before.

  3. The quest to build the universal personal assistant (UPA) has been reignited, with both OpenAI and Google going head to head.

  4. Ancient Media Sharing stories and messages with an audience has been a fundamental human need since ancient times.

  5. Introduction to Language-Image Pre-Training Language-Image Pre-Training (LIP) has become a popular approach to obtain robust visual and textual representations.

  6. Large Language Models (LLMs) have transformed artificial intelligence, leading to significant advancements in conversational AI and applications.

  7. Introduction to ColPali ColPali is a novel document retrieval model that significantly enhances the efficiency and accuracy of matching user queries to relevant documents.

  8. I've put together this presentation to help anyone with a technical background to build their own LLM powered applications.

  9. Sharing my my notebook for the Google AI Assistants For Data Task With Gemma competition.

  10. MLLMs (Multi Modal Large Language Models) such as GPT-4V and Gemini are able to ingest data in multiple modalities such as: text, video, sound and images.

  11. The Generative Internet

    Generative AI is opening the doors to new products.

  12. Working with LLMs is shifting from human-machine interactions to human-machine and machine-machine interactions.

  13. LLMs have a limited input they can generate and output.

  14. 🚀 Excited to share new work on “ Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge Gaps “.

  15. Adept's mission to enable computers to interact with UIs will enhance our productivity and save time.