Google Gemini
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Google Gemini 1.5 Pro in Gemini Advanced
https://one.google.com/explore-plan/gemini-advanced
Get Gemini Advanced and more with a Google One AI Premium plan $19.99/month Gemini Advanced with our latest AI innovations check With our next-generation model, 1.5 Pro check Priority access to new features check Experience a 1 million token context window Also included in this Google One subscription check Gemini in Gmail, Docs, and more check 2 TB of storage check Other Google One premium benefits
You've got Gemini Advanced And more with your Google One AI Premium plan
GEMINI ADVANCED WITH OUR LATEST AI INNOVATIONS checkWith our next-generation model, 1.5 Pro checkPriority access to new features checkExperience a 1 million token context window ALSO INCLUDED IN THIS GOOGLE ONE SUBSCRIPTION checkGemini in Gmail, Docs, and more check2 TB of storage checkOther Google One premium benefits
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.
Priority access to new features Be one of the first to access Google’s latest AI innovations as they become available.
Experience a 1 million token context window Process and understand significantly more information – up to 1,500 page PDFs – so you can tackle more complex problems than ever before.
More AI features included with the AI Premium plan Google One AI Premium members also get access to Gemini in Gmail, Docs, and more to help make everyday tasks easier in Google apps. Explore more AI features
Create stunning images with Imagen 3, our highest quality text-to-image model Simply describe what you imagine, and watch as your ideas transform into visuals, bursting with vivid details and realism, in seconds. Gemini Advanced users unlock the added capability of generating images featuring people, empowering even more variety in your creations.
Humans review some saved chats to improve Google AI. To stop this for future chats, turn off Gemini Apps Activity. If this setting is on, don't enter info you wouldn’t want reviewed or used. How it works
How your Gemini Apps Activity improves AI Your chats are saved in Gemini Apps Activity. A sample of saved chats are used to improve Google's AI models with help from trained reviewers.
For example, reviewers will look at how Gemini responded. If the response could have been better, they'll show Google’s AI what a better response would look like.
So don’t enter anything you wouldn’t want a human reviewer to see or Google to use.
Your Google Workspace content, like from Gmail or Drive, is not reviewed or used to improve Gemini App.
To stop future chats from being reviewed or used to improve Google's AI models, turn off Gemini Apps Activity - https://myactivity.google.com/product/gemini?pli=1
https://support.google.com/gemini/answer/13594961
How human reviewers improve Google AI
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.
- Snippet from Wikipedia: Gemini (chatbot)
Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT. It was previously based on the LaMDA and PaLM LLMs.
LaMDA had been developed and announced in 2021, but it was not released to the public out of an abundance of caution. OpenAI's launch of ChatGPT in November 2022 and its subsequent popularity caught Google executives off-guard, prompting a sweeping response in the ensuing months. After mobilizing its workforce, the company launched Bard in a limited capacity in March 2023 before expanding to other countries in May. Bard took center stage during the 2023 Google I/O keynote in May and was upgraded to the Gemini LLM in December. In February 2024, Bard and Duet AI, another artificial intelligence product from Google, were unified under the Gemini brand, coinciding with the launch of an Android app.
Gemini has received lukewarm responses. It became the center of controversy in February 2024, when social media users reported that it was generating historically inaccurate images of historical figures as people of color, with conservative commentators decrying its alleged bias as "wokeness".
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)
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