Nigel Powell discusses Google's NotebookLM, an AI tool that translates and summarizes various media content into accessible podcasts, making complex scientific information more digestible.
The article discusses RIG, a technique that enhances AI's ability to provide more accurate and up-to-date responses by integrating LLMs with Data Commons, an open-source database of public data. It compares RIG with RAG and highlights its benefits and potential drawbacks.
Learn how Google's Prompt Poet simplifies advanced prompt engineering and integrates few-shot learning to rapidly customize LLMs without complex fine-tuning.
Google Keep is getting a new AI-powered feature called 'Help me create a list,' leveraging Gemini, Google's advanced language model. This tool aims to assist users in creating various types of lists, enhancing Keep's note-taking capabilities.
The latest news about Gemini. Chat to start writing, planning, learning and more with Google AI.
Google has updated its note-taking AI, NotebookLM, to include the ability to read information from websites and Google Slides, and users can now ask questions about charts, images, and diagrams. The new Notebook Guide also creates study guides or briefing documents, and inline citations can point to sources. NotebookLM is powered by Gemini 1.5 Pro, the latest large language model that currently powers the paid version of the Gemini chatbot.
The courses cover various topics such as Introduction to Generative AI, Large Language Models, Responsible AI, Image Generation, Encoder-Decoder Architecture, Attention Mechanism, Transformer Models and BERT Model, Creating Image Captioning Models, and Introduction to Generative AI Studio
This article introduces Google's top AI applications, providing a guide on how to start using them, including Google Gemini, Google Cloud, TensorFlow, Experiments with Google, and AI Hub.
In this article, we will explore various aspects of BERT, including the landscape at the time of its creation, a detailed breakdown of the model architecture, and writing a task-agnostic fine-tuning pipeline, which we demonstrated using sentiment analysis. Despite being one of the earliest LLMs, BERT has remained relevant even today, and continues to find applications in both research and industry.
Google has launched Model Explorer, an open-source tool designed to help users navigate and understand complex neural networks. The tool aims to provide a hierarchical approach to AI model visualization, enabling smooth navigation even for massive models. Model Explorer has already proved valuable in the deployment of large models to resource-constrained platforms and is part of Google's broader ‘AI on the Edge’ initiative.