Implementing Speculative and Contrastive Decoding Large Language models are comprised of billions of parameters (weights). For each word it generates, the model has to perform computationally expensive calculations across all of these parameters. Large Language models accept a sentence, or sequence of tokens, and generate a probability distribution of the next most likely token. Thus, …
Research Published 5 December 2024 Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future Next week, AI researchers worldwide will gather for the 38th Annual Conference on Neural Information Processing Systems (NeurIPS), taking place December 10-15 in Vancouver, Two papers led by Google DeepMind researchers will be …
5. Univariate sequential encoding It is time to build the sequential mechanism to keep track of user choices over time. The mechanism I idealized works on two separate vectors (that after the process end up being one, hence univariate), a historical vector and a caching vector. The historical vector is the one that is used …
Technologies Published 14 May 2024 Announcing our novel watermarking method for AI-generated text and video, and how we’re bringing SynthID to key Google products Generative AI tools — and the large language model technologies behind them — have captured the public imagination. From helping with work tasks to enhancing creativity, these tools are quickly becoming …
Watermarking AI-generated text and video with SynthID Read More »
The Chief Historian is always present for the big Christmas sleigh launch, but nobody has seen him in months! Last anyone heard, he was visiting locations that are historically significant to the North Pole; a group of Senior Historians has asked you to accompany them as they check the places they think he was most …
Google Gemini Is Entering the Advent of Code Challenge | by Heiko Hotz | Dec, 2024 Read More »
In this conversation, Simon Willison discusses the intersection of AI, Open Source, and journalism, emphasizing the importance of tools like Dataset in enhancing data journalism. He reflects on his journey from developing Django to his current work with AI, highlighting the role of open source in software development. Willison shares insights on how AI can …
Around the Prompt – Simon Willison: The Future of Open Source and AI Read More »
Responsible from design to deployment We’re mindful about not only advancing the state of the art, but doing so responsibly. So we’re taking measures to address the challenges raised by generative technologies and helping enable people and organizations to responsibly work with AI-generated content. For each of these technologies, we’ve been working with the creative …
Introducing Veo and Imagen 3 generative AI tools Read More »
A prompt-based experiment to improve both accuracy and transparent reasoning in content personalization. Deliver relevant content to readers at the right time. Image by author. At DER SPIEGEL, we are continually exploring ways to improve how we recommend news articles to our readers. In our latest (offline) experiment, we investigated whether Large Language Models (LLMs) …
The business world stands on the cusp of a revolution, driven by the transformative power of AI-powered predictive analytics. This technology isn’t just another fleeting trend; it represents a fundamental shift in how companies foresee and shape their futures. As we explore the intricacies of this paradigm shift, we’ll explore how AI is reshaping business …
AI Predictive Analytics: Transforming Business Decision-Making Read More »
1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more. This is because it’s been trained by 1.5 Pro through a process called “distillation,” where the most essential knowledge and skills from a larger model are transferred to a smaller, more efficient model. Read more …
