Best Artificial Intelligence Software for Deasie

Find and compare the best Artificial Intelligence software for Deasie in 2024

Use the comparison tool below to compare the top Artificial Intelligence software for Deasie on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    OpenAI Reviews
    OpenAI's mission, which is to ensure artificial general intelligence (AGI), benefits all people. This refers to highly autonomous systems that outperform humans in most economically valuable work. While we will try to build safe and useful AGI, we will also consider our mission accomplished if others are able to do the same. Our API can be used to perform any language task, including summarization, sentiment analysis and content generation. You can specify your task in English or use a few examples. Our constantly improving AI technology is available to you with a simple integration. These sample completions will show you how to integrate with the API.
  • 2
    Claude Reviews
    Claude is an artificial intelligence language model that can generate text with human-like processing. Anthropic is an AI safety company and research firm that focuses on building reliable, interpretable and steerable AI systems. While large, general systems can provide significant benefits, they can also be unpredictable, unreliable and opaque. Our goal is to make progress in these areas. We are currently focusing on research to achieve these goals. However, we see many opportunities for our work in the future to create value both commercially and for the public good.
  • 3
    Box Reviews
    Top Pick
    Secure collaboration with anyone, anyplace, on any device. It is our top priority to protect your cloud files. We have developed advanced security controls, intelligent threats detection, and complete information governance. We also know that your needs are not limited to these security controls. Strict data privacy? Check. Check. Check. Check. You should check. Collaboration is key to your business. This includes customers, partners, vendors, and teammates. Everyone can work together on your most important content easily if they are in the same place. You should not be sharing files but frustration. You should be able to rest assured that your data is safe. It is a waste of time to work on cumbersome, manual processes every day. We let anyone automate repeatable workflows that are important to your business, such as HR onboarding and contract management. Your workflows will move faster. You have more time for what is most important.
  • 4
    Llama 2 Reviews
    The 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
  • 5
    LLaMA Reviews
    LLaMA (Large Language Model meta AI) is a state of the art foundational large language model that was created to aid researchers in this subfield. LLaMA allows researchers to use smaller, more efficient models to study these models. This furtherdemocratizes access to this rapidly-changing field. Because it takes far less computing power and resources than large language models, such as LLaMA, to test new approaches, validate other's work, and explore new uses, training smaller foundation models like LLaMA can be a desirable option. Foundation models are trained on large amounts of unlabeled data. This makes them perfect for fine-tuning for many tasks. We make LLaMA available in several sizes (7B-13B, 33B and 65B parameters), and also share a LLaMA card that explains how the model was built in line with our Responsible AI practices.
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