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Seifeur Guizeni
Is QuillBot AI Checker Accurate? Assessment of Performance and Reliability
QuillBot AI checker is part of a recent comparative test involving 10 AI content detectors, but its exact accuracy remains unclear due to the lack of specific performance data. The testing assessed detectors on five text samples, including those written by humans and AI. While some AI checkers delivered perfect detection, QuillBot's detailed results were…
O1-Preview vs O1-Mini: Key Differences in Capacity Performance and Pricing
OpenAI’s o1 Preview and o1 Mini are two advanced language models sharing key similarities yet differing in cost, output capacity, and certain performance metrics, making each suited for distinct applications. Both models support a large input context window of 128,000 tokens and have the same knowledge cut-off date of October 2023. OpenAI released these models…
Is Codex Access Available for ChatGPT Plus Users and How to Enable It
Is Codex Available for ChatGPT Plus Users? Codex is available to ChatGPT Plus users, alongside Pro, Team, and Enterprise plans. It grants access to the AI coding assistant, expanding capabilities beyond standard ChatGPT features. Access Requirements Plans Supporting Codex PlanCodex AvailabilityPrivacy and Model TrainingChatGPT PlusAvailable with admin toggle ONModel training depends on user setting "Improve…
ChatGPT Plus File Upload Limits: Number, Size, and Management Guidelines
Users with ChatGPT Plus can upload files within specific limits that depend on the GPT model and user plan. They may upload up to 20 files per individual GPT, with each file having size restrictions, while overall upload frequency and storage are also regulated by strict caps. ChatGPT Plus primarily offers access to advanced GPT…
OpenAI Codex and GPT: Key Differences in Training, Output, and Usage
OpenAI Codex and GPT are related but serve different purposes in artificial intelligence. Codex is a variant of GPT-3, specially designed for coding tasks, while GPT-3 focuses on general language processing. Definition and Purpose GPT-3 is a general language model that can generate human-like text based on a wide range of topics. It handles tasks…
OpenAI Offers Free Two-Month ChatGPT Plus Subscription for University Students in the US and Canada
OpenAI currently offers a FREE ChatGPT Plus subscription for 2 months to university students in the USA and Canada, valid from March 31, 2025, to May 31, 2025. This promotion allows eligible students to access ChatGPT Plus features at no cost during the promotion period once they claim the offer. However, eligibility is restricted geographically…
How to Use AI Effectively: Strategies for Mastering Modern Tools
How to Use AI Effectively Effectively using AI means leveraging its capabilities creatively, productively, resourcefully, and advantageously by mastering digital literacy, crafting precise prompts, applying critical thinking, personalizing tools, and maintaining ethical awareness. This approach maximizes AI’s potential and mitigates risks. Understanding and Starting with AI Tools AI tools vary widely in function and access.…
GPT-4o Knowledge Cutoff Date and Its Implications for Real-Time Access
GPT-4o’s knowledge cutoff refers to the date after which the model no longer incorporates new information. Initially, GPT-4o had a knowledge cutoff of October 2023, which OpenAI later extended to June 2024. This date marks the limit of the data available during its training. Understanding Knowledge Cutoff Knowledge cutoff is the latest date for which…
Groq vs Grok: Key Differences in AI Technology, Market Presence, and Trademark Disputes
Groq vs Grok: Understanding the Key Differences Groq and Grok are distinct entities within the AI ecosystem, each serving unique roles: Groq develops AI acceleration hardware focused on rapid inference, while Grok is a consumer-facing chatbot emphasizing ethical AI interaction. Their near-identical names have caused confusion and legal disputes, but their functions and market positions…
RAG vs Large Language Models: Comparing Retrieval-Augmented Generation and Fine-Tuned LLMs
Retrieval Augmented Generation (RAG) improves large language models (LLMs) by dynamically retrieving external, up-to-date information to complement the model’s knowledge, whereas fine tuning modifies the LLM itself to specialize in a specific domain. What is RAG? RAG integrates a retrieval system with a language generation model. When a question arises, it first searches an external…