| chat gpt math plugin: c't Working with AI c't-Redaktion, 2024-01-24 The special issue of c't KI-Praxis provides tests and practical instructions for working with chatbots. It explains why language models make mistakes and how they can be minimised. This not only helps when you send questions and orders to one of the chatbots offered online. If you do not want to or are not allowed to use the cloud services for data protection reasons, for example, you can also set up your own voice AI. The c't editorial team explains where to find a suitable voice model, how to host it locally and which service providers can host it. The fact that generative AI is becoming increasingly productive harbours both opportunities and risks. Suitable rules for the use of AI in schools, training and at work help to exploit opportunities and minimise risks. |
| chat gpt math plugin: c't KI-Praxis c't-Redaktion, 2023-11-15 Das Sonderheft c't KI-Praxis liefert Tests und praktische Anleitungen für die Arbeit mit Chatbots. Es erklärt, warum Sprachmodelle Fehler machen und wie man sie verringern kann. Dies hilft nicht nur, wenn man Fragen und Aufträge an einen der online angebotenen Chatbots übermittelt. Will oder darf man beispielsweise aus Datenschutzgründen die Cloud-Dienste nicht nutzen, kann man sich auch eine eigene Sprach-KI einrichten. Die c't-Redaktion erklärt, wo man ein geeignetes Sprachmodell findet, wie man es lokal hostet und bei welchen Dienstleistern man es hosten kann. Dass generative KI immer produktiver einsetzbar ist, birgt Chancen und Risiken zugleich. Um Chancen zu nutzen und Risiken zu minimieren, helfen geeignete Spielregeln für den KI-Einsatz in Schule, Ausbildung und Beruf. |
| chat gpt math plugin: Overcoming Error In Chat GPT And Wolfram Alpha With Peter Chew Rule Peter Chew, 2023-08-12 This book discusses the Error of Chat GPT and Wolfram Alpha specifically in terms of their restricted knowledge and their inability to correctly answer some Solution of Triangle questions. ChatGPT's knowledge is confined to data up until 2021 . However, these Error can be addressed by incorporating future knowledge, Peter Chew Rule for Solution of Triangle into Education 4.0 Calculator . By utilizing Peter Chew Rule into the Education 4.0 calculator, significant advancements can be achieved. This innovative tool allows us for finding a non included angle (Obtuse angle) directly and correctly when given 2 sides and an included angle. The integration of Education 4.0 provides a promising solution to the existing Error in ChatGPT and Wolfram Alpha. By programming the Education 4.0 calculator with Peter Chew Rule and Method, these systems can enhance their capabilities and offer simple solution, more comprehensive and up-to-date answers to all triangle problem. This approach demonstrates the potential of leveraging advanced mathematical concepts to overcome the Error posed by restricted knowledge in AI systems like ChatGPT and Wolfram Alpha. By incorporating Peter Chew Rule and Method for Solution of triangle and leveraging advanced mathematical tools, AI systems can expand their capabilities and offer correct answer, simple solution, more accurate and comprehensive responses in the domain of Solution of Triangle. This can be effective in let student interest in using technology while learning mathematics especially when analogous covid- 19 issues arise in the future. |
| chat gpt math plugin: Overcoming Limitations In Chat GPT And Wolfram Alpha With Peter Chew Method For Solution Of Triangle Peter Chew, 2023-08-14 This book discusses the limitations of Chat GPT and Wolfram Alpha specifically in terms of their restricted knowledge and their inability to answer some Solution of Triangle questions. ChatGPT's knowledge is confined to data up until 2021. However, these limitations can be addressed by incorporating future knowledge, Peter Chew Method for Solution of Triangle into Education 4.0 Calculator. This can be effective in let student interest in using technology while learning mathematics especially when analogous covid- 19 issues arise in the future. By utilizing Peter Chew Method into the Education 4.0 calculator, significant advancements can be achieved. This innovative tool allows us for finding the value of third side when given 2 sides and a non included angle. The integration of Education 4.0 provides a promising solution to the existing limitations in ChatGPT and Wolfram Alpha. By programming the Education 4.0 calculator with Peter Chew Method, these systems can enhance their capabilities and offer simple solution, more comprehensive and up-to-date answers to all triangle problem. This approach demonstrates the potential of leveraging advanced mathematical concepts to overcome the limitations posed by restricted knowledge in AI systems like ChatGPT and Wolfram Alpha. By incorporating Peter Chew Method and Rule for Solution of triangle and leveraging advanced mathematical tools, AI systems can expand their capabilities and offer simple solution, more accurate and comprehensive responses in the domain of Solution of Triangle. |
| chat gpt math plugin: Overcoming Limitation In Chat GPT With Future Knowledge [ Construct Quadratic Equation With Asymmetric Quadratic Roots ] Peter Chew, 2023-08-25 This book discusses the limitation of Chat GPT specifically in terms of their restricted knowledge and their inability to Construct Quadratic Equation With Asymmetric Quadratic Roots. ChatGPT's knowledge is confined to data up until 2021 . However, these limitation can be addressed by incorporating future knowledge, Peter Chew Method for Quadratic Equation to Construct Quadratic Equation including Asymmetric Quadratic Roots This can be effective in let student interest in using Peter Chew Method for Quadratic Equationto Construct Quadratic Equation while learning mathematics especially when analogous covid- 19 issues arise in the future. At present, the method of constructing a new quadratic equation is to first use the Veda's theorem to obtain the values of α+β and αβ of the original equation, and then convert the sum and product of the roots of the new quadratic equation into the form of α+β and αβ by using algebra formula, such as α-β2 = α+β2-2 αβ . Then construct a new quadratic equation. But for sum and product of an asymmetric quadratic root for a new quadratic equation, it is difficult or impossible to transform into α+β and αβ forms. It is difficult or impossible to construct new quadratic equations. So, it is limited to use Veda's theorem to construct new quadratic equations with asymmetric quadratic root. Therefore, if we program the Veda's theorem method into an AI system like Chat GPT, Chat GPT will also have limitations. Peter Chew Method for Quadratic Equation method is to find the roots (α and β) of the original quadratic equation first, and then substitute the values of α and β into the sum and product of the new quadratic equation without transforming into α+β and αβ forms, and then construct new quadratic equation. This allows the Peter Chew quadratic equation method to overcome the limitations of the Veda theorem method to construct new quadratic equations with asymmetric quadratic root. In addition, Peter Chew Method for Quadratic Equation allows us for Construct New Quadratic Equation With Asymmetric Quadratic Roots without request remember any Algebra formula. Peter Chew Method for Quadratic Equation provides a promising simple and easy solution to the existing Limitation in AI system like Chat GPT. By programming the AI system like Chat GPT with Peter Chew Method, these AI systems can Construct Quadratic Equation with any type of roots including Asymmetric Quadratic Roots. This approach demonstrates the potential of leveraging advanced mathematical concepts to overcome the Limitation posed by restricted knowledge in AI systems like Chat GPT. |
| chat gpt math plugin: Beyond AI Ken Huang, Yang Wang, Feng Zhu, Xi Chen, Chunxiao Xing, 2024-01-27 This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business operations. It covers the potential impact surpassing prior industrial revolutions. After providing an overview of GenAI, ChatGPT, and Web3, it investigates business applications in various industries and areas, such as product management, finance, real estate, gaming, and government, highlighting value creation and operational revolution through their integration. It also explores their impact on content generation, customer service, personalization, and data analysis and examines how the technologies can enhance content quality, customer experiences, sales, revenue, and resource efficiency. Moreover, it addresses security, privacy, and ethics concerns, emphasizing the responsible implementation of ChatGPT and Web3. Written by experts in this field, this book is aimed at business leaders, entrepreneurs, students, investors, and professionals who are seeking insights into ChatGPT, ChatGPT Plug-in, GPT-based autonomous agents, and the integration of Gen AI and Web3 in business applications. |
| chat gpt math plugin: Overcoming Incomplete Answer Problems In Chat GPT And Wolfram Alpha With Peter Chew Method For Solution Of Triangle Peter Chew, 2023-08-15 This book discusses the limitations of Chat GPT and Wolfram Alpha specifically in terms of their restricted knowledge and their inability to provide complete answer for certain questions in the domain of Solution of triangle. ChatGPT's knowledge is confined to data up until 2021. However, these problem can be addressed by incorporating future knowledge, Peter Chew Method for Solution of Triangle into Education 4.0 Calculator . By utilizing Peter Chew Method into the Education 4.0 calculator, significant advancements can be achieved. This innovative tool allows us for finding the complete answer of third side when given 2 sides and a non included angle. The integration of Education 4.0 provides a promising solution to the existing Incomplete Answer Problems in ChatGPT and Wolfram Alpha. By programming the Education 4.0 Calculator with Peter Chew Method and Rule, these systems can enhance their capabilities and offer complete answer, simple solution, more comprehensive and up-to-date answers to all triangle problem. This approach demonstrates the potential of leveraging advanced mathematical concepts to overcome the Incomplete Answer Problems posed by restricted knowledge in AI systems like ChatGPT and Wolfram Alpha. By incorporating Peter Chew Method and Rule for Solution of triangle and leveraging advanced mathematical tools, AI systems can expand their capabilities and offer complete answer, simple solution, more accurate and comprehensive responses in the domain of Solution of Triangle. This can be effective in let student interest in using technology while learning mathematics especially when analogous covid- 19 issues arise in the future. |
| chat gpt math plugin: Developing Apps with GPT-4 and ChatGPT Olivier Caelen, Marie-Alice Blete, 2024-07-10 This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how they work. You'll also get a step-by-step guide for developing applications using the OpenAI Python library, including text generation, Q&A, and smart assistants. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: Fundamentals and benefits of GPT-4 and GPT-3.5 models, including the main features and how they work How to integrate these models into Python-based applications, leveraging natural language processing capabilities and overcoming specific LLM-related challenges Examples of applications demonstrating the OpenAI API in Python for tasks including text generation, question answering, content summarization, classification, and more Advanced LLM topics such as prompt engineering, fine-tuning models for specific tasks, RAG, plug-ins, LangChain, LlamaIndex, GPTs, and assistants Olivier Caelen is a machine learning researcher at Worldline and teaches machine learning courses at the University of Brussels. Marie-Alice Blete, a software architect and data engineer in Worldline's R&D department, is interested in performance and latency issues associated with AI solutions. |
| chat gpt math plugin: Detect and Correct Errors In Chat GPT With Peter Chew Mental Calculation. Peter Chew, 2023-09-13 This book discusses the Errors of Chat GPT specifically in terms of their restricted knowledge and their inability to calculate certain higher digit multiplication calculation. ChatGPT's knowledge is confined to data up until 2021. However, these Errors can be Detect and Correct With Peter Chew Mental Calculation 3 . The Peter Chew Mental Calculation allows us quickly get exact answers to certain higher digit multiplication calculations. The Peter Chew Mental Calculation provides a promising solution to Detect and Correct Errors In Chat GPT . Therefore, Peter Chew Mental Calculation (Multiplication) Method provide correct, faster, and better than Chat GPT for certain higher digit multiplication calculations. Mental math brings higher learning, increased usage allows students to live healthier, smarter lifestyles. According to a research paper published on the U.S. National Institutes of Health's National Library of Medicine, students with strong number sense obtain greater overall mathematical success and often perform better at both written calculations and applied problem solving. Peter Chew Mental Calculation demonstrates the potential of leveraging mathematical concepts to Detect and Correct the Errors posed by restricted knowledge in AI systems like ChatGPT. This can be effective in let student interest in using Peter Chew Mental Calculation especially when analogous covid- 19 issues arise in the future. |
| chat gpt math plugin: Developing Apps with GPT-4 and ChatGPT Olivier Caelen, Marie-Alice Blete, 2024-07-10 This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how they work. You'll also get a step-by-step guide for developing applications using the OpenAI Python library, including text generation, Q&A, and smart assistants. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: Fundamentals and benefits of GPT-4 and GPT-3.5 models, including the main features and how they work How to integrate these models into Python-based applications, leveraging natural language processing capabilities and overcoming specific LLM-related challenges Examples of applications demonstrating the OpenAI API in Python for tasks including text generation, question answering, content summarization, classification, and more Advanced LLM topics such as prompt engineering, fine-tuning models for specific tasks, RAG, plug-ins, LangChain, LlamaIndex, GPTs, and assistants Olivier Caelen is a machine learning researcher at Worldline and teaches machine learning courses at the University of Brussels. Marie-Alice Blete, a software architect and data engineer in Worldline's R&D department, is interested in performance and latency issues associated with AI solutions. |
| chat gpt math plugin: Pioneering Tomorrow's AI System . An Empirical Study Of The Peter Chew Theorem For Overcoming Error In Chat GPT [Convert Large Number Quadratic Surds Into Two Real Numbers] Peter Chew, 2023-10-02 This empirical study investigates the Peter Chew Theorem for Quadratic Surd for Overcoming Error In Chat GPT. - on enhancing ChatGPT's competence in effectively Converting Quadratic Surd. The integration of Artificial Intelligence (AI) into mathematical problem-solving has paved the way for innovative approaches. This study aim to showcase the important of Peter Chew Theorem for Overcoming Error in AI System like GPT Chat. The findings derived from this study unveil a compelling and notable demonstration of ChatGPT's adept utilization of the Peter Chew Theorem. This Theorem approach has yielded outcomes that are both substantial and convincing, particularly in the context of Converting Quadratic Surd, pertaining to Convert Large Number Quadratic Surds Into Two Real Numbers. This study's results provide compelling evidence of ChatGPT's adept use of the Peter Chew Theorem, enabling correct Convert Large Number Quadratic Surds Into Two Real Numbers. In contrast, when ChatGPT using current approach, ChatGPT can not correct Convert Large Number Quadratic Surds Into Two Real Numbers. This performance disparity underscores the vital role of the Peter Chew Theorem in enhancing AI systems' mathematical abilities, highlighting the transformative potential of diverse methodologies in advancing AI's mathematical prowess. Pioneering Novel Maths Theorem such as Peter Chew Theorem for Quadratic Surd For Overcoming Errors in AI System like GPT Chat. This study underscores the importance of pioneering innovative Theorem to overcome existing Errors in AI systems like ChatGPT, particularly in Converting Quadratic Surd. The groundbreaking Peter Chew Theorem for Quadratic Surd showcased here holds the promise of unleashing untapped potential, elevating AI systems to new levels of proficiency. Essentially, the Peter Chew Theorem offers a strategic avenue for enhancing AI capabilities and pushing the boundaries of achievable accomplishments. |
| chat gpt math plugin: Quick Start Guide to Large Language Models Sinan Ozdemir, 2023-09-20 The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like ChatGPT are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, hands-on exercises, and more. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, parameters, and performance. You'll find even more resources on the companion website, including sample datasets and code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and ChatGPT), Google (BERT, T5, and Bard), EleutherAI (GPT-J and GPT-Neo), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and more Use APIs and Python to fine-tune and customize LLMs for your requirements Build a complete neural/semantic information retrieval system and attach to conversational LLMs for retrieval-augmented generation Master advanced prompt engineering techniques like output structuring, chain-ofthought, and semantic few-shot prompting Customize LLM embeddings to build a complete recommendation engine from scratch with user data Construct and fine-tune multimodal Transformer architectures using opensource LLMs Align LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF) Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mind By balancing the potential of both open- and closed-source models, Quick Start Guide to Large Language Models stands as a comprehensive guide to understanding and using LLMs, bridging the gap between theoretical concepts and practical application. --Giada Pistilli, Principal Ethicist at HuggingFace A refreshing and inspiring resource. Jam-packed with practical guidance and clear explanations that leave you smarter about this incredible new field. --Pete Huang, author of The Neuron Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| chat gpt math plugin: Java Basics Using Chatgpt/Gpt-4 OSWALD. CAMPESATO, 2023-12-28 This book is designed for those new to Java and interested in understanding how ChatGPT/GPT-4 can enhance programming. It offers a unique approach to learning Java, combining traditional hand-written code with cutting-edge ChatGPT-generated examples. The book covers the basics of Java programming and development environments, including understanding recursion, strings, arrays, fundamental data structures, algorithm analysis, queues and stacks, and follows with the role of ChatGPT in generating, explaining, and debugging code. Companion files with source code and figures available for downloading. It's an essential resource for those starting Java programming and for anyone curious about the applications of ChatGPT in coding. FEATURES Combines hand-crafted Java code with ChatGPT-generated examples for a multifaceted learning experience Offers practical Java coding skills, with examples in recursion, data structures, and algorithm analysis Covers the capabilities of ChatGPT for code generation, debugging, and explanation, providing a modern perspective on programming Includes companion files for downloading with source code and figures |
| chat gpt math plugin: Getting Started With ChatGPT And AI Chatbots Mark Pesce, 2023-12-06 Learn how to use ChatGPT, Bing Chat / Copilot, and Bard to get the most out of these powerful tools. ChatGPT has become a tool hundreds of millions use every day - yet few have mastered the art of sweet-talking these new AI chatbots into providing detailed and accurate responses to user prompts. It's vital for every professional tech user to have an understanding of how AI chatbots work, and how best to put them to work. While the fear is that AI will take people's jobs, it is more likely to be someone using AI that will! Getting Started with ChatGPT and AI Chatbotsexplores the 'big three' AI chatbots - OpenAI ChatGPT, Microsoft Bing Chat / Windows Copilot and Google Bard - demystifying their operation, and providing a wealth of tools for thinking about how to talk to these smart tools. Whether you're a business user, a tech student, or a curious professional, this book is for you to understand and demystify Large Language Models (LLMs) and generative AI tools, harnessing them to enhance your role. |
| chat gpt math plugin: WORD PROBLEMS II Lev D. Beklemishev, 2000-04-01 WORD PROBLEMS II |
| chat gpt math plugin: The Ultimate Guide to ChatGPT and OpenAI Valentina Alto, 2023-05-31 Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features: Explore the theory behind generative AI models and the road to GPT3 and GPT4 Become familiar with ChatGPT's applications to boost everyday productivity Learn to embed OpenAI models into applications using lightweight frameworks like LangChain Book Description: Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data. Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster. You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications. By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects. What You Will Learn: Understand generative AI concepts from basic to intermediate level Focus on the GPT architecture for generative AI models Maximize ChatGPT's value with an effective prompt design Explore applications and use cases of ChatGPT Use OpenAI models and features via API calls Build and deploy generative AI systems with Python Leverage Azure infrastructure for enterprise-level use cases Ensure responsible AI and ethics in generative AI systems Who this book is for: This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain - all by using Chat GPT and OpenAI Models. A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts. |
Iowa Football | Iowa Hawkeyes fan forums - Hawkeye Beacon
Jun 6, 2025 · Proven Players will be paid the most when IOWA Football divides roughly $15.1M in Revenue Sharing betw the 105 Roster Players.
在使用cursor导入deepseek的API时报错如下所示，该怎么办？
是因为你的验证模型没有选对，你在添加了deepseek-chat模型之后得把 除了deepseek模型之外的所有模型全部取消勾选 ，才会用deepseek的模型去验证，这样你的apikey才会被应用到chat。
deepseek的chat和reasoner功能有何区别？ - 知乎
Chat是陪你唠嗑的“社牛客服”，Reasoner是帮你算账的“理科状元”。 一、定位差异：唠嗑VS算账 Chat 就像火锅店服务员： 能记住你上次点的麻辣锅底，接梗吐槽毫无压力，适合做客服、写段 …
现在这些大模型，哪个在代码编写上表现的最好呀？ - 知乎
2）MarsCode IDE. MarsCode 是豆包旗下的AI智能编程工具，它分为网页版和编程插件。提供以智能代码补全为代表的核心能力，能在编码过程中提供单行或整个函数的建议，同时支持在用 …
chat GPT近 2 年更新了 7 个版本，哪个最好用？ - 知乎
这7个版本基本上涵盖了从ChatGPT刚出世，到现在的最新版本。 但事实上，OpenAI只会开放最新的几个版本给用户，你看下面这张图，现在ChatGPT上可用的模型，其实分为两部分，左边 …
Front Porch Forum
Helping Neighbors Connect. Front Porch Forum is a free community-building service in Vermont and parts of New York.
GA Tech transfer Chazadi ‘Chit-Chat’ Wright has committed to Iowa
Apr 24, 2025 · Here's a couple of insightful articles on our newest playmaker (Chit-Chat) with her own remarks about herself and her new team. Chazadi ‘Chit-Chat’ Wright has committed to …
GA Tech transfer Chazadi ‘Chit-Chat’ Wright has committed to Iowa
Apr 23, 2025 · Frankly I think money is a better explanation of Iowa's portal activity. Iowa was in on Heckel (per Skim), but the rumored price tag was $500k. Chit-Chat's rumored price tag is …
Iowa Hawkeyes fan forums - Hawkeye Beacon
Hawkeye Beacon: Complete football, basketball, baseball and recruiting coverage and breaking news of the University of Iowa Hawkeyes.
GA Tech transfer Chazadi ‘Chit-Chat’ Wright has committed to Iowa
Apr 23, 2025 · I am exciting to see Chit Chat and KF on the court at the same time, from a defensive standpoint. They are going to be very disruptive to opposing teams trying to get into …
Iowa Football | Iowa Hawkeyes fan forums - Hawkeye Beacon
Jun 6, 2025 · Proven Players will be paid the most when IOWA Football divides roughly $15.1M in Revenue Sharing betw the 105 Roster Players.
在使用cursor导入deepseek的API时报错如下所示，该怎么办？
是因为你的验证模型没有选对，你在添加了deepseek-chat模型之后得把 除了deepseek模型之外的所有模型全部取消勾选 ，才会用deepseek的模型去验证，这样你的apikey才会被应用到chat。
deepseek的chat和reasoner功能有何区别？ - 知乎
Chat是陪你唠嗑的“社牛客服”，Reasoner是帮你算账的“理科状元”。 一、定位差异：唠嗑VS算账 Chat 就像火锅店服务员： 能记住你上次点的麻辣锅底，接梗吐槽毫无压力，适合做客服、写段 …
现在这些大模型，哪个在代码编写上表现的最好呀？ - 知乎
2）MarsCode IDE. MarsCode 是豆包旗下的AI智能编程工具，它分为网页版和编程插件。提供以智能代码补全为代表的核心能力，能在编码过程中提供单行或整个函数的建议，同时支持在用 …
chat GPT近 2 年更新了 7 个版本，哪个最好用？ - 知乎
这7个版本基本上涵盖了从ChatGPT刚出世，到现在的最新版本。 但事实上，OpenAI只会开放最新的几个版本给用户，你看下面这张图，现在ChatGPT上可用的模型，其实分为两部分，左边 …
Front Porch Forum
Helping Neighbors Connect. Front Porch Forum is a free community-building service in Vermont and parts of New York.
GA Tech transfer Chazadi ‘Chit-Chat’ Wright has committed to Iowa
Apr 24, 2025 · Here's a couple of insightful articles on our newest playmaker (Chit-Chat) with her own remarks about herself and her new team. Chazadi ‘Chit-Chat’ Wright has committed to …
GA Tech transfer Chazadi ‘Chit-Chat’ Wright has committed to Iowa
Apr 23, 2025 · Frankly I think money is a better explanation of Iowa's portal activity. Iowa was in on Heckel (per Skim), but the rumored price tag was $500k. Chit-Chat's rumored price tag is …
Iowa Hawkeyes fan forums - Hawkeye Beacon
Hawkeye Beacon: Complete football, basketball, baseball and recruiting coverage and breaking news of the University of Iowa Hawkeyes.
GA Tech transfer Chazadi ‘Chit-Chat’ Wright has committed to Iowa
Apr 23, 2025 · I am exciting to see Chit Chat and KF on the court at the same time, from a defensive standpoint. They are going to be very disruptive to opposing teams trying to get into …
