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Google Unveils NotebookLM: An AI-Driven Note-Taking Assistant

Google has recently introduced NotebookLM, an AI-powered note-taking app designedto enhance learning efficiency.Google has recently introduced NotebookLM, an AI-powered note-taking app designedto enhance learning efficiency. Initially known as Project Tailwind, this experimentaloffering from Google Labs aims to reimagine note-taking software by incorporating apowerful language model at its core. NotebookLM is now being rolled out gradually to aselect group of users in the United States, with continuous improvements planned forthe future. Users from other countries can sign up for the waitlist.In the face of information overload, extracting meaningful insights has become adaunting task. Google acknowledges this challenge and seeks to facilitate the synthesisof facts and ideas from multiple sources.NotebookLM addresses this issue by leveraging language models and your existingcontent to provide valuable insights promptly. Acting as a virtual research assistant, itcan summarise information, untangle complex concepts, and foster creativeconnections, all based on the sources you choose.What sets NotebookLM apart from conventional AI chatbots is its ability to “ground” thelanguage model in your personal notes and selected sources.By doing so, NotebookLM becomes well-versed in the information that matters most toyou. Currently, users can ground the AI in specific Google Docs, and additional formatswill be supported in the future.Summary, Questioning, and Idea GenerationOnce you’ve selected your Google Docs, NotebookLM offers three primary functions:1. Summary Generation: Upon adding a Google Doc to NotebookLM, it automaticallygenerates a summary along with key topics and questions to enhance yourcomprehension of the material.2. Questioning Capability: Users can delve deeper into their uploaded documents byasking questions. For instance, a medical student could upload a scientific article onneuroscience and request NotebookLM to create a glossary of key terms related todopamine.Similarly, an author working on a biography could upload research notes and ask for asummary of all interactions between two historical figures.3. Idea Generation: NotebookLM is built with the ability to assist users in generatingfresh ideas. For instance, a content creator can upload ideas for new videos and requestthe AI to generate a script on a specific topic. Likewise, an entrepreneur preparing asales pitch can inquire about potential investor questions.Fact-checking Still a MustWhile NotebookLM’s source-grounding minimises the risk of model “hallucinations,” it isessential to fact-check the AI’s responses against the source material. Google ensureseasy fact-checking by providing citations with each response, featuring the mostrelevant quotes from your selected sources.Ultimately, the development team has two primary goals: actively involving users in theproduct’s development and ensuring responsible deployment of the technology.Feedback from users will be instrumental in making NotebookLM a genuinely valuabletool. Google also upholds a strict set of safety criteria aligned with its AI Principles andimplements necessary safeguards before expanding the user base and introducing newfunctionalities.Importantly, NotebookLM only has access to the source material you upload, and yourfiles and interactions with the AI remain private and inaccessible to other users. Googledeclared that the data collected is not used to train new AI models.As NotebookLM is in its initial evolution phase, Google is committed to actively seekinguser feedback to ensure its usefulness and effectiveness.

China’s Baichuan Intelligence Unveils Open Source Language Model to Compete with OpenAI

Baichuan Intelligence, a startup founded by Wang Xiaochuan, the founder of Sogou, hasintroduced its next-generation large language model Baichuan-13B.Baichuan Intelligence, a startup founded by Wang Xiaochuan, the founder of Sogou, hasintroduced its next-generation large language model Baichuan-13B. Wang, a computer scienceprodigy from Tsinghua University, aims to establish China’s version of OpenAI. Baichuan isconsidered one of China’s most promising developers in the field of large language models(LLMs). The model, based on the Transformer architecture like OpenAI’s GPT, has 13 billionparameters and is trained on Chinese and English data. Baichuan-13B is open source andoptimised for commercial applications.Training Data Comparable to GPT 3.5Baichuan-13B is trained on 1.4 trillion tokens, surpassing Meta’s LLaMa, which uses 1 trilliontokens in its 13 billion-parameter model. Wang has expressed his intention to release a large-scale model comparable to OpenAI’s GPT-3.5 by the end of this year. Within a short period,Baichuan has made significant progress, expanding its team to 50 people by the end of Apriland launching its first LLM, Baichuan-7B, in June.​Baichuan-13B is now available for free to approved academics and developers who wish to useit for commercial purposes. Notably, the model offers variations that can run on consumer-grade hardware, addressing the constraints posed by U.S. AI chip sanctions on China.Baichuan-7B is an open-source, large-scale pre-training language model, meticulously crafted bythe visionary minds at Baichuan Intelligent Technology. Rooted in the architecture of theTransformer model, this model harnesses a staggering 7 billion parameters and has beennourished with the exposure to a staggering 1.2 trillion tokens. With its unwavering versatility,Baichuan-7B gracefully accommodates both the Chinese and English languages.High Performance Scores Across the BoardDuly celebrated as a front-runner amongst models of similar scale, Baichuan-7B has emergedvictorious in renowned Chinese and English benchmarks, including the esteemed C-EVAL andMMLU assessments, etching its name at the pinnacle of linguistic excellence.This model consistently surpasses its counterparts of similar parameter magnitude, reigningsupreme as the pre-eminent native pre-trained model in the realm of Chinese languagecomprehension. In the AGIEval assessment, Baichuan-7B outshines other open-sourcecontenders, including LLaMA-7B, Falcon-7B, Bloom-7B, and ChatGLM-6B, by an astonishingmargin, securing an impressive score of 34.4 points.Baichuan-7B conquers the C-EVAL examination with a commanding score of 42.8 points,outshining ChatGLM-6B’s 38.9 points. In the Gaokao evaluation, the model reigns supreme withan exceptional score of 36.2 points, firmly establishing its dominance among pre-trainedmodels of comparable parameter scale.AGIEval, a celebrated benchmark initiative by Microsoft Research Institute, represents anexhaustive endeavour to assess the cognitive and problem-solving capacities of fundamentalmodels. C-Eval, a collaborative creation by Shanghai Jiao Tong University, Tsinghua University,and the University of Edinburgh, serves as a comprehensive examination evaluating the prowessof Chinese language models, encompassing 52 diverse subjects across various industries.The Gaokao benchmark, crafted by the esteemed research team at Fudan University, leveragesthe Chinese college entrance examination questions as a dataset, offering a rigorousexamination of large models’ aptitude in Chinese language comprehension and logicalreasoning.Baichuan-7B’s mastery extends effortlessly into the realm of English. In the esteemed MMLUassessment, baichuan-7B astounds with an extraordinary score of 42.5 points, effortlesslysurpassing the English open-source pre-trained model, LLaMA-7B, and the Chinese open-sourcemodel, ChatGLM-6B, by significant margins.A key determinant of success in large-scale model training resides within the training corpusitself. Baichuan Intelligent Technology diligently constructs a high-quality pre-training corpus,drawing from rich Chinese learning data and seamlessly integrating high-quality English data.This data amalgamation encompasses a vast array of Chinese and English internet data, open-source Chinese and English data, alongside a substantial corpus of meticulously curatedknowledge.

Near Foundation & Hibiki Partner

The NEAR Foundation and Hibiki Run have partnered to combine music streaming anddigital collectibles in an exciting new platform. The NEAR Foundation and Hibiki Run have partnered to combine music streaming and…

Facebook’s Mother Company Meta Launches VR Subscription Service

Meta, the owner of Facebook, has recently rolled out a new virtual reality (VR) subscription service called Meta Quest+. Meta, the owner of Facebook, has recently rolled out a new virtual reality (VR)subscription service called Meta Quest+. The subscription service aims to boost theprofitability of Meta’s VR business.For a monthly fee of $7.99 or an annual subscription of $59.99, users will have accessto two new games every month. The service is compatible with Meta’s Quest 2, QuestPro, and the upcoming Quest 3 headsets.…