Large language models (LLMs) powering today’s AI innovations are becoming increasingly sophisticated. These models can comb through vast amounts of text and generate summaries, suggest new creative directions and even draft code. However, as impressive as these capabilities are, LLMs sometimes confidently present information that is inaccurate. This phenomenon, known as "hallucination," is a key challenge in generative AI.Today we're sharing promising research...
We built NotebookLM to help you make sense of complex information. When you upload your sources, it instantly becomes an expert, grounding its responses in your material with citations and relevant quotes. And since it’s your notebook, your personal data is never used to train NotebookLM.Over the summer, NotebookLM expanded globally and used Gemini 1.5’s multimodal capabilities to power new features, such as...
