Find and compare the best Artificial Intelligence software for InfoBaseAI in 2025
Sort:
Use the comparison tool below to compare the top Artificial Intelligence software for InfoBaseAI on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
Need help deciding?
Talk to one of our software experts for free. They will help you select the best software for your business.
-
1
Gemini is Google’s advanced AI chatbot that engages in natural language conversation to boost creativity and productivity. Gemini is accessible via web and mobile apps. It integrates seamlessly with Google services such as Docs, Drive and Gmail. Users can draft content, summarize data, and manage tasks. Its multimodal capabilities enable it to process and produce diverse data types such as text images and audio. This provides comprehensive assistance in different contexts. Gemini is a constantly learning model that adapts to the user's interactions and offers personalized and context-aware answers to meet a variety of user needs.
-
2
Gemini Advanced
Google
$19.99 per month 1 RatingGemini Advanced is an AI model that delivers unmatched performance in natural language generation, understanding, and problem solving across diverse domains. It features a revolutionary neural structure that delivers exceptional accuracy, nuanced context comprehension, and deep reason capabilities. Gemini Advanced can handle complex and multifaceted tasks. From creating detailed technical content to writing code, to providing strategic insights and conducting in-depth analysis of data, Gemini Advanced is designed to handle them all. Its adaptability, scalability and flexibility make it an ideal solution for both enterprise-level and individual applications. Gemini Advanced is a new standard in AI-powered solutions for intelligence, innovation and reliability. Google One also includes 2 TB of storage and access to Gemini, Docs and more. Gemini Advanced offers access to Gemini Deep Research. You can perform real-time and in-depth research on virtually any subject. -
3
Gemini 2.0
Google
Free 1 RatingGemini 2.0, an advanced AI model developed by Google is designed to offer groundbreaking capabilities for natural language understanding, reasoning and multimodal interaction. Gemini 2.0 builds on the success of Gemini's predecessor by integrating large language processing and enhanced problem-solving, decision-making, and interpretation abilities. This allows it to interpret and produce human-like responses more accurately and nuanced. Gemini 2.0, unlike traditional AI models, is trained to handle a variety of data types at once, including text, code, images, etc. This makes it a versatile tool that can be used in research, education, business and creative industries. Its core improvements are better contextual understanding, reduced biased, and a more effective architecture that ensures quicker, more reliable results. Gemini 2.0 is positioned to be a major step in the evolution AI, pushing the limits of human-computer interactions. -
4
Gemini Pro
Google
1 RatingGemini is multimodal by default, giving you the ability to transform any input into any output. We built Gemini responsibly, incorporating safeguards from the beginning and working with partners to make it more inclusive and safer. Integrate Gemini models in your applications using Google AI Studio and Google Cloud Vertex AI. -
5
Gemini 2.0 Flash
Google
1 RatingThe Gemini 2.0 Flash AI represents the next-generation of high-speed intelligent computing. It is designed to set new standards in real-time decision-making and language processing. It builds on the solid foundation of its predecessor and incorporates enhanced neural technology and breakthrough advances in optimization to enable even faster and more accurate response times. Gemini 2.0 Flash was designed for applications that require instantaneous processing, adaptability, and live virtual assistants. Its lightweight and efficient design allows for seamless deployment across cloud and hybrid environments. Multitasking and improved contextual understanding make it an ideal tool to tackle complex and dynamic workflows. -
6
Gemini Nano
Google
1 RatingGoogle's Gemini Nano is a lightweight and energy-efficient AI model that delivers high performance even in environments with limited resources. Gemini Nano is a lightweight, energy-efficient AI model designed for edge computing and mobile apps. It combines Google's advanced AI with cutting-edge techniques to deliver seamless performance. It excels at tasks such as voice recognition, natural-language processing, real time translation, and personalized suggestions despite its small size. Gemini Nano is a local data processor that focuses on privacy and efficiency. This minimizes reliance on cloud infrastructure, while maintaining robust security. Its adaptability, low power consumption, and robust security make it a great choice for smart devices and IoT ecosystems. -
7
Gemini 1.5 Pro
Google
1 RatingThe Gemini 1.5 Pro AI Model is a state of the art language model that delivers highly accurate, context aware, and human like responses across a wide range of applications. It excels at natural language understanding, generation and reasoning tasks. The model has been fine-tuned to support tasks such as content creation, code-generation, data analysis, or complex problem-solving. Its advanced algorithms allow it to adapt seamlessly to different domains, conversational styles and languages. The Gemini 1.5 Pro, with its focus on scalability, is designed for both small-scale and enterprise-level implementations. It is a powerful tool to enhance productivity and innovation. -
8
Gemini 1.5 Flash
Google
1 RatingThe Gemini 1.5 Flash AI is a high-speed, advanced language model that has been designed for real-time responsiveness and lightning-fast processing. It is designed to excel in dynamic, time-sensitive applications. It combines streamlined neural technology with cutting-edge optimization methods to deliver exceptional performance and accuracy. Gemini 1.5 Flash was designed for scenarios that require rapid data processing, instant decisions, and seamless multitasking. It is ideal for chatbots and customer support systems. Its lightweight but powerful design allows it to be deployed efficiently on a variety of platforms, including cloud-based environments and edge devices. This allows businesses to scale operations with unmatched flexibility. -
9
ChatGPT is an OpenAI language model. It can generate human-like responses to a variety prompts, and has been trained on a wide range of internet texts. ChatGPT can be used to perform natural language processing tasks such as conversation, question answering, and text generation. ChatGPT is a pretrained language model that uses deep-learning algorithms to generate text. It was trained using large amounts of text data. This allows it to respond to a wide variety of prompts with human-like ease. It has a transformer architecture that has been proven to be efficient in many NLP tasks. ChatGPT can generate text in addition to answering questions, text classification and language translation. This allows developers to create powerful NLP applications that can do specific tasks more accurately. ChatGPT can also process code and generate it.
-
10
Cohere is an AI company that provides advanced language models designed to help businesses and developers create intelligent text-based applications. Their models support tasks like text generation, summarization, and semantic search, with options such as the Command family for high-performance applications and Aya Expanse for multilingual capabilities across 23 languages. Cohere emphasizes flexibility and security, offering deployment on cloud platforms, private environments, and on-premises systems. The company partners with major enterprises like Oracle and Salesforce to enhance automation and customer interactions through generative AI. Additionally, its research division, Cohere For AI, contributes to machine learning innovation by fostering global collaboration and open-source advancements.
-
11
GPT-4 (Generative Pretrained Transformer 4) a large-scale, unsupervised language model that is yet to be released. GPT-4, which is the successor of GPT-3, is part of the GPT -n series of natural-language processing models. It was trained using a dataset of 45TB text to produce text generation and understanding abilities that are human-like. GPT-4 is not dependent on additional training data, unlike other NLP models. It can generate text and answer questions using its own context. GPT-4 has been demonstrated to be capable of performing a wide range of tasks without any task-specific training data, such as translation, summarization and sentiment analysis.
-
12
GPT-3.5 is the next evolution to GPT 3 large language model, OpenAI. GPT-3.5 models are able to understand and generate natural languages. There are four main models available with different power levels that can be used for different tasks. The main GPT-3.5 models can be used with the text completion endpoint. There are models that can be used with other endpoints. Davinci is the most versatile model family. It can perform all tasks that other models can do, often with less instruction. Davinci is the best choice for applications that require a deep understanding of the content. This includes summarizations for specific audiences and creative content generation. These higher capabilities mean that Davinci is more expensive per API call and takes longer to process than other models.
-
13
Llama 2
Meta
FreeThe next generation of the large language model. This release includes modelweights and starting code to pretrained and fine tuned Llama languages models, ranging from 7B-70B parameters. Llama 1 models have a context length of 2 trillion tokens. Llama 2 models have a context length double that of Llama 1. The fine-tuned Llama 2 models have been trained using over 1,000,000 human annotations. Llama 2, a new open-source language model, outperforms many other open-source language models in external benchmarks. These include tests of reasoning, coding and proficiency, as well as knowledge tests. Llama 2 has been pre-trained using publicly available online data sources. Llama-2 chat, a fine-tuned version of the model, is based on publicly available instruction datasets, and more than 1 million human annotations. We have a wide range of supporters in the world who are committed to our open approach for today's AI. These companies have provided early feedback and have expressed excitement to build with Llama 2 -
14
PaLM 2
Google
PaLM 2 is Google's next-generation large language model, which builds on Google’s research and development in machine learning. It excels in advanced reasoning tasks including code and mathematics, classification and question-answering, translation and multilingual competency, and natural-language generation better than previous state-of the-art LLMs including PaLM. It is able to accomplish these tasks due to the way it has been built - combining compute-optimal scale, an improved dataset mix, and model architecture improvement. PaLM 2 is based on Google's approach for building and deploying AI responsibly. It was rigorously evaluated for its potential biases and harms, as well as its capabilities and downstream applications in research and product applications. It is being used to power generative AI tools and features at Google like Bard, the PaLM API, and other state-ofthe-art models like Sec-PaLM and Med-PaLM 2.
- Previous
- You're on page 1
- Next