Return to Google Gemini, ChatGPT, Mobile Assistants - ChatBots
https://gemini.google.com/advanced?hl=en
Also called: Google One AI Premium
Access Google’s most capable AI models and exclusive features, now with a 1 million token context window Try for 2 months, at no chargeOpens in a new Window Gemini $ 0 USD / month check_circle_outline With our 1.0 Pro model for whatever you need check_circle_outline Help with writing, planning, learning and more check_circle_outline Integrated with Google apps you already know and love Gemini Advanced $ 19.99 USD / month $ 0 USD for the first 2 months check_circle_outline New With 1.5 Pro, our next-generation model with a 1M token context window check_circle_outline New Upload Google Docs, PDFs, and more for summaries, answers, and feedback check_circle_outline New Upload your spreadsheets for faster data cleaning, charts, and insights check_circle_outline Priority access to new and exclusive features check_circle_outline Edit and run Python code directly in Gemini Advanced check_circle_outline 2 TB of storage from Google One check_circle_outline Gemini in Gmail, Docs, and more (English only)
Google's next-generation model With Google’s next-generation model, Gemini 1.5 Pro, Gemini Advanced has a context window of 1 million tokens, making it more efficient at exploring, analyzing, and understanding large data sets and documents up to 1,500 pages.
Your personal tutor Upload class notes and Gemini Advanced can summarize key concepts, create practice exams, and walk you through explanations so you can better understand course material
Your data analyst Clean and analyze data from your spreadsheets to quickly uncover insights and create presentation-ready charts
Your creative partner Accelerate your creative process by collaborating with Gemini Advanced to spark new ideas, brainstorm projects, and help with your first drafts
Your coding helper Get extra support to learn new programming concepts and save time generating, editing, and checking your cod
Upgrade your Google One plan to get Gemini Advanced $19.99 $0 for 2 months, $19.99/month after
Gemini Advanced with our latest AI innovations
With our next-generation model, 1.5 Pro
With our next-generation model, 1.5 Pro Far more capable at logical reasoning, analysis, coding, and creative collaboration so you can get more done, faster
Get access to a 1 million token context window
Get access to a 1 million token context window Process and understand significantly more information – up to 1,500 page PDFs and soon, 30,000 lines of code and 1 hour long videos – so you can tackle more complex problems than ever before
Access new and exclusive features
Access new and exclusive features Quickly uncover insights, identify trends, and summarize key information with Document Upload, Edit and run Python code, and more exclusive capabilities
https://one.google.com/explore-plan/gemini-advanced?g1_landing_page=65
To help with quality and improve our products (such as generative machine-learning models that power Gemini Apps), human reviewers read, annotate, and process your Gemini Apps conversations. We take steps to protect your privacy as part of this process. This includes disconnecting your conversations with Gemini Apps from your Google Account before reviewers see or annotate them. Please don’t enter confidential information in your conversations or any data you wouldn’t want a reviewer to see or Google to use to improve our products, services, and machine-learning technologies.
If you want to use Gemini Apps without saving your conversations to your Google Account, you can turn off your Gemini Apps Activity (https://support.google.com/gemini?p=pause_activity). You can review your prompts or delete your conversations from your Gemini Apps Activity at myactivity.google.com/product/geminiOpens in a new window.
Conversations that have been reviewed or annotated by human reviewers (and related data like your language, device type, location info, or feedback) are not deleted when you delete your Gemini Apps activity because they are kept separately and are not connected to your Google Account. Instead, they are retained for up to three years.
Even when Gemini Apps Activity is off, your conversations will be saved with your account for up to 72 hours. This lets Google provide the service and process any feedback. This activity won’t appear in your Gemini Apps Activity. Learn more: https://support.google.com/gemini?p=gemini_pntos_retention
If you turn off this setting or delete your Gemini Apps activity, other settings, like Web & App ActivityOpens in a new window or Location HistoryOpens in a new window, may continue to save location and other data as part of your use of other Google services. In addition, when you integrate and use Gemini Apps with other Google services, they will save and use your data to provide and improve their services, consistent with their policies and the Google Privacy PolicyOpens in a new window. If you use Gemini Apps to interact with third-party services, they will process your data according to their own privacy policies.
You can request (https://support.google.com/gemini?p=gemini_pntos_removal_request) the removal of content under our policies or applicable laws. You can also export (https://takeout.google.com) your information.
See Gemini Apps FAQ (https://gemini.google.com/faq) and Gemini Apps Privacy Hub (https://support.google.com/gemini?p=privacy_help) to learn more.
Switching from Google Assistant to Gemini as your mobile assistant
You can switch from Google Assistant to Gemini as your mobile assistant in specific locations: https://support.google.com/gemini?p=gemini_app_requirements
Gemini can help you with calls or texts like Google Assistant did before.
Your feedback will help make Gemini Apps better: https://support.google.com/gemini?p=give_feedback
Welcome to Gemini As you try Gemini, please remember:
Gemini will not always get it right Gemini may give inaccurate or offensive responses. When in doubt, use the Google button to double-check Gemini's responses.
Gemini can use extensions To connect you with useful content, Gemini Apps may share parts of your conversations and other relevant info, like your location, with other services. These services may use that info for their improvement, even if you later delete your Gemini Apps activity. You can turn extensions off anytime on the Extensions page. Learn more in the Gemini Apps Privacy Hub (https://support.google.com/gemini?p=lm_ext_data).
Gemini will get better with your feedback Please rate responses and flag anything that may be offensive or unsafe.
Stay updated on Gemini improvements
How conversations improve Gemini Just by having a conversation with Gemini, you’re making Google services better, including the machine-learning models that power Gemini.
As part of that improvement, trained reviewers need to process your conversations.
So when using Gemini, don’t enter anything you wouldn’t want a reviewer to see or Google to use.
Your Google Workspace content, like from Gmail or Drive, is not reviewed or used to improve Gemini.
You can turn Gemini Apps Activity off
If you don’t want future conversations reviewed or used to improve machine-learning models, turn off Gemini Apps Activity: https://myactivity.google.com/product/gemini?utm_source=gemini.
Mention a specific extension: Quickly select from your available Extensions by using “@” in front of the name
I do not have enough information about that person to help with your request. I am a large language model, and I am able to communicate and generate human-like text in response to a wide range of prompts and questions, but my knowledge about this person is limited. Is there anything else I can do to help you with this request?
Terms related to: AI-ML-DL-NLP-GenAI-LLM-GPT-RAG-MLOps-Chatbots-ChatGPT-Gemini-Copilot-HuggingFace-GPU-Prompt Engineering-Data Science-DataOps-Data Engineering-Big Data-Analytics-Databases-SQL-NoSQL
AI, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Neural Network, Generative AI (GenAI), Natural Language Processing (NLP), Large Language Model (LLM), Transformer Models, GPT (Generative Pre-trained Transformer), ChatGPT, Chatbots, Prompt Engineering, HuggingFace, GPU (Graphics Processing Unit), RAG (Retrieval-Augmented Generation), MLOps (Machine Learning Operations), Data Science, DataOps (Data Operations), Data Engineering, Big Data, Analytics, Databases, SQL (Structured Query Language), NoSQL, Gemini (Google AI Model), Copilot (AI Pair Programmer), Foundation Models, LLM Fine-Tuning, LLM Inference, LLM Training, Parameter-Efficient Tuning, Instruction Tuning, Few-Shot Learning, Zero-Shot Learning, One-Shot Learning, Meta-Learning, Reinforcement Learning from Human Feedback (RLHF), Self-Supervised Learning, Contrastive Learning, Masked Language Modeling, Causal Language Modeling, Attention Mechanism, Self-Attention, Multi-Head Attention, Positional Embeddings, Word Embeddings, Tokenization, Byte Pair Encoding (BPE), SentencePiece Tokenization, Subword Tokenization, Prompt Templates, Prompt Context Window, Context Length, Scaling Laws, Parameter Scaling, Model Architecture, Model Distillation, Model Pruning, Model Quantization, Model Compression, Low-Rank Adaptation (LoRA), Sparse Models, Mixture of Experts, Neural Architecture Search (NAS), AutoML, Gradient Descent Optimization, Stochastic Gradient Descent (SGD), Adam Optimizer, AdamW Optimizer, RMSProp Optimizer, Adagrad Optimizer, Adadelta Optimizer, Nesterov Momentum, Learning Rate Schedules, Warmup Steps, Cosine Decay, Hyperparameter Tuning, Bayesian Optimization, Grid Search, Random Search, Population Based Training, Early Stopping, Regularization, Dropout, Weight Decay, Label Smoothing, Batch Normalization, Layer Normalization, Instance Normalization, Group Normalization, Residual Connections, Skip Connections, Encoder-Decoder Architecture, Encoder Stack, Decoder Stack, Cross-Attention, Feed-Forward Layers, Position-Wise Feed-Forward Network, Pre-LN vs Post-LN, Sequence-to-Sequence Models, Causal Decoder-Only Models, Masked Autoencoder, Domain Adaptation, Task-Specific Heads, Classification Head, Regression Head, Token Classification Head, Sequence Classification Head, Multiple-Choice Head, Span Prediction Head, Causal Head, Next Sentence Prediction, MLM (Masked Language Modeling), NSP (Next Sentence Prediction), C4 Dataset, WebText Dataset, Common Crawl Corpus, Wikipedia Corpus, BooksCorpus, Pile Dataset, LAION Dataset, Curated Corpora, Fine-Tuning Datasets, Instruction Data, Alignment Data, Human Feedback Data, Preference Ranking, Reward Modeling, RLHF Policy Optimization, Batch Inference, Online Inference, Vector Databases, FAISS Integration, Chroma Integration, Weaviate Integration, Pinecone Integration, Milvus Integration, Data Embeddings, Semantic Search, Embedding Models, Text-to-Vector Encoding, Vector Similarity Search, Approximate Nearest Neighbor (ANN), HNSW Index, IVF Index, ScaNN Index, Memory Footprint Optimization, HuggingFace Transformers, HuggingFace Hub, HuggingFace Datasets, HuggingFace Model Cards, HuggingFace Spaces, HuggingFace Inference Endpoints, HuggingFace Accelerate, HuggingFace PEFT (Parameter Efficient Fine-Tuning), HuggingFace Safetensors Format, HuggingFace Tokenizers, HuggingFace Pipeline, HuggingFace Trainer, HuggingFace Auto Classes (AutoModel, AutoTokenizer), HuggingFace Model Conversion, HuggingFace Community Models, HuggingFace Diffusers, Stable Diffusion, HuggingFace Model Hub Search, HuggingFace Secrets Management, OpenAI GPT models, OpenAI API, OpenAI Chat Completions, OpenAI Text Completions, OpenAI Embeddings API, OpenAI Rate Limits, OpenAI Fine-Tuning (GPT-3.5, GPT-4), OpenAI System Messages, OpenAI Assistant Messages, OpenAI User Messages, OpenAI Function Calls, OpenAI ChatML Format, OpenAI Temperature Parameter, OpenAI Top_p Parameter, OpenAI Frequency Penalty, OpenAI Presence Penalty, OpenAI Max Tokens Parameter, OpenAI Logit Bias, OpenAI Stop Sequences, Azure OpenAI Integration, Anthropic Claude Integration, Anthropic Claude Context Window, Anthropic Claude Constitutional AI, Cohere Integration LLM provider, Llama2 (Meta's LLM), Llama2 Chat Model, Vicuna Model (LLM)), Alpaca Model, StableLM, MPT (MosaicML Pretrained Transformer), Falcon LLM, Baichuan LLM, Code Llama, WizardCoder Model, WizardLM Model, Phoenix LLM, Samantha LLM, LoRA Adapters, PEFT for LLM, BitFit Parameters Tuning, QLoRA (Quantized LoRA), GLoRA, GGML Quantization, GPTQ Quantization, SmoothQuant, Int4 Quantization, Int8 Quantization, FP16 Mixed Precision, BF16 Precision, MLOps Tools, MLOps CI/CD, MLOps CD4ML, MLOps Feature Store, MLOps Model Registry, MLOps Model Serving, MLOps Model Monitoring, MLOps Model Drift Detection, MLOps Data Drift Detection, MLOps Model Explainability Integration, MLOps MLFlow Integration, MLOps Kubeflow Integration, MLOps MLRun, MLOps Seldon Core for serving, MLOps BentoML for serving, MLOps MLflow Tracking, MLOps MLflow Model Registry, MLOps DVC (Data Version Control), MLOps Delta Lake, RAG (Retrieval-Augmented Generation), RAG Document Store, RAG Vector Store Backend, RAG Memory Augmentation, RAG On-the-fly Retrieval, RAG Re-ranking Step, RAG HyDE Technique - It's known as hypothetical document embeddings - advanced but known in RAG, RAG chain-of-thought, chain-of-thought related to LLM reasoning, Chain-of-Thought Reasoning, Self-Consistency Decoding, Tree-of-thoughts, ReAct (Reason+Act) Prompting Strategy, Prompt Engineering Techniques, Prompt Templates (LLM), Prompt Variables Replacement, Prompt Few-Shot Examples, Prompt Zero-Shot Mode, Prompt Retrieval Injection, Prompt System Message, Prompt Assistant Message, Prompt Role Specification, Prompt Content Filtering, Prompt Moderation Tools, AI-Generated Code Completion, Copilot (GitHub) Integration, CoPilot CLI, Copilot Labs, Gemini (Google Model) Early access, LLM from Google, LaMDA (Language Model for Dialog Applications), PaLM (Pathways Language Model), PaLM2 (PaLM 2 Model), Flan PaLM Models, Google Vertex AI Integration, AWS Sagemaker Integration, Azure Machine Learning Integration, Databricks MLFlow Integration, HuggingFace Hub LFS for large models, LFS big files management, OPT (Open Pretrained Transformer) Meta Model, Bloom LLM, Ernie Bot (Baidu LLM), Zhipu-Chat - Another LLM from China, Salesforce CodeT5 - It's a code model, Finetune with LoRA on GPT-4, Anthropic Claude 2
Artificial Intelligence (AI): The Borg, SkyNet, Google Gemini, ChatGPT, AI Fundamentals, AI Inventor: Arthur Samuel of IBM 1959 coined term Machine Learning. Synonym Self-Teaching Computers from 1950s. Experimental AI “Learning Machine” called Cybertron in early 1960s by Raytheon Company; ChatGPT, Generative AI, NLP, GAN, AI winter, The Singularity, AI FUD, Quantum FUD (Fake Quantum Computers), AI Propaganda, Quantum Propaganda, Cloud AI (AWS AI, Azure AI, Google AI-GCP AI-Google Cloud AI, IBM AI, Apple AI), Deep Learning (DL), Machine learning (ML), AI History, AI Bibliography, Manning AI-ML-DL-NLP-GAN Series, AI Glossary, AI Topics, AI Courses, AI Libraries, AI frameworks, AI GitHub, AI Awesome List. (navbar_ai - See also navbar_dl, navbar_ml, navbar_nlp, navbar_chatbot, navbar_chatgpt, navbar_llm, navbar_openai, borg_usage_disclaimer, navbar_bigtech, navbar_cia)
Chatbot: ChatGPT, Bots, Smart Speakers, Virtual Assistant, Digital Assistant, Amazon Alexa (Histrionic overdramatic melodramatic irritating Alexa voice), Amazon Echo, Apple Intelligence, Apple Siri - Siri - Apple Smart Speakers (Apple HomePod - HomePod mini - Apple audioOS), Google Gemini, Google Assistant (Hey Google), Google Smart Speakers (Google Nest (smart speakers) - previously named Google Home, Google Nest), Cortana (virtual assistent) (replaced by Microsoft 365 Copilot based on Microsoft Graph and Bing AI), Microsoft Copilot (Microsoft Security Copilot, ), GitHub Chatbot, Awesome Chatbots. (navbar_chatbot - see also navbar_chatgpt, navbar_openai, navbar_ai, navbar_llm, borg_usage_disclaimer, navbar_cia)
ChatGPT: The Borg, ChatGPT Alternatives (Google Gemini, Microsoft Copilot, Cursor AI, JetBrains AI), Sora.com, ChatGPT Pro, ChatGPT Plus, GPT - Chat - Chatbot, OpenAI, ChatGPT Prompts, ChatGPT o1-Pro, ChatGPT o1, ChatGPT‑4o, ChatGPT 4.0, ChatGPT 3.5, ChatGPT Dynamic, Prompt Engineering, Chatbots, AI Assistants, Chat Generative Pre-trained Transformer developed by OpenAI and launched on November 30, 2022; Large Language Model (LLM), Language model, Prompt Engineering, Generative Artificial Intelligence (GenAI), Generative pre-trained transformer, GPT-4, GPT-3, GPT-2, Brave Leo, Transformer (machine learning model), Fine-tuning (deep learning), Supervised learning (SL), Microsoft Bing, Bing Chat, LLaMA, Artificial neural networks (ANNs, also shortened to neural networks (NNs) or neural nets), Generative model, AI accelerator, Fine-tuning (machine learning) –> Fine-tuning (deep learning), Transfer learning (TL), Multimodal learning, GitHub ChatGPT, Awesome ChatGPT. (navbar_chatgpt - see also navbar_ml, navbar_dl, navbar_nlp, navbar_ai, navbar_llm, navbar_openai, borg_usage_disclaimer, navbar_cia)
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