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- how to add copilot to excel?
- This article discusses the integration of Microsoft Copilot, an AI-powered coding assistant, with Excel. While Copilot is currently not compatible with Excel, it is available for use with Visual Studio Code. The article clarifies that there are curre
- AI 539 2024-08-16 16:50:13
- how to add copilot to office 365?
- This article provides step-by-step instructions on installing Copilot in Office 365, including system requirements and compatibility. It clarifies that Copilot requires a paid Office 365 subscription and is not compatible with free accounts.
- AI 829 2024-08-16 16:49:16
- how does copilot use your data?
- Copilot enhances coding suggestions by collecting anonymized user data, including code, interactions, and context. This data helps Copilot learn user patterns, identify frequently used code, and adapt to specific coding environments, improving the qu
- AI 926 2024-08-16 16:48:16
- how does copilot protect your data?
- Copilot is an AI assistant that helps developers write code. To protect user data, Copilot encrypts data, limits data usage to service improvement, complies with privacy regulations, and employs security measures such as strong encryption, secure ser
- AI 594 2024-08-16 16:47:16
- how to see your copilot history?
- This article discusses the inability to view the flight history of one's copilot. It explains that pilots must maintain their own flight logs, but these are not shared with other pilots or the public due to the sensitive information they contain, suc
- AI 941 2024-08-16 16:46:12
- how copilot works in visual studio?
- VS Copilot Abstract:Copilot, an AI assistant in Visual Studio, enhances code generation with advanced capabilities like:Code completions and function generationCross-language translationAutomated refactoringWhile it offers benefits such as increased
- AI 359 2024-08-16 16:45:21
- how copilot works in teams?
- Copilot is a team collaboration tool that provides a shared workspace for file, idea, and feedback sharing, and progress tracking. Key features include shared workspace, real-time editing, version control, task management, and chat. Teams can enhance
- AI 386 2024-08-16 16:44:17
- how copilot works microsoft?
- Microsoft's Copilot leverages AI to enhance development productivity. Its intelligent code completion, scenario-based assistances, contextual analysis, and natural language communication streamline development tasks. By automating routine tasks, impr
- AI 420 2024-08-16 16:43:21
- Nvidia plays with pruning and distillation: halving the parameters of Llama 3.1 8B to achieve better performance with the same size
- The rise of small models. Last month, Meta released the Llama3.1 series of models, which includes Meta’s largest model to date, the 405B model, and two smaller models with 70 billion and 8 billion parameters respectively. Llama3.1 is considered to usher in a new era of open source. However, although the new generation models are powerful in performance, they still require a large amount of computing resources when deployed. Therefore, another trend has emerged in the industry, which is to develop small language models (SLM) that perform well enough in many language tasks and are also very cheap to deploy. Recently, NVIDIA research has shown that structured weight pruning combined with knowledge distillation can gradually obtain smaller language models from an initially larger model. Turing Award Winner, Meta Chief A
- AI 194 2024-08-16 16:42:44
- Nvidia plays with pruning and distillation: cutting Llama 3.1 8B parameters in half to achieve better performance with the same size
- The rise of small models. Last month, Meta released the Llama3.1 series of models, which includes Meta’s largest model to date, the 405B model, and two smaller models with parameter amounts of 70 billion and 8 billion respectively. Llama3.1 is considered to usher in a new era of open source. However, although the new generation models are powerful in performance, they still require a large amount of computing resources when deployed. Therefore, another trend has emerged in the industry, which is to develop small language models (SLM) that perform well enough in many language tasks and are also very cheap to deploy. Recently, NVIDIA research has shown that structured weight pruning combined with knowledge distillation can gradually obtain smaller language models from an initially larger model. Turing Award Winner, Meta Chief A
- AI 855 2024-08-16 16:42:23
- how copilot works in word?
- Copilot is an AI-powered writing assistant integrated in Microsoft Word, utilizing NLP to analyze writing context and suggest customized text generation, sentence completion, text rewriting, and information search. Its capabilities include natural la
- AI 654 2024-08-16 16:42:17
- how copilot works in outlook?
- Copilot is an AI-powered assistant that integrates with Outlook to enhance email composition by offering real-time grammar and style suggestions, suggested phrasing, and tone adjustments. It seamlessly integrates with Outlook's native functionality a
- AI 798 2024-08-16 16:41:18
- how copilot works in power bi?
- Copilot, an AI assistant in Power BI, uses NLP to understand user commands. It automates tasks, provides insights, and offers recommendations based on user behavior and data analysis. Features include automated data exploration, personalized recommen
- AI 417 2024-08-16 16:40:26
- how copilot works in excel?
- Copilot enhances the Excel experience by automating tasks, leveraging AI for natural language processing, context awareness, and machine learning. It offers task automation, data insights, error avoidance, a user-friendly interface, and robust securi
- AI 265 2024-08-16 16:39:18
- Can the two small models verify each other and directly compare with the large model? Microsoft's rStar doesn't even use CoT and fine-tuning
- Check in with each other so that small models can solve big problems. As we all know, LLM is powerful, but its ability to perform complex reasoning is not strong enough. For example, on the GSM8K data set, Mistral-7B can only achieve an accuracy of 36.5% even if it uses technologies such as Chain of Thought (CoT). Although fine-tuning can indeed effectively improve reasoning capabilities, most LLM relies on fine-tuning data that has been distilled by more powerful models such as GPT-4, or may even have been synthesized by these powerful models. At the same time, researchers are also actively developing a auxiliary but more difficult method: using a better teacher LLM to improve reasoning ability. In order to improve reasoning ability without a better model, a promising paradigm is
- AI 924 2024-08-16 16:38:49
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