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Top Generative AI Text Tools 

Generative AI text tools are great tools for creating high-quality, engaging written material at scale. They offer a broad variety of functionalities that revolutionize how we approach text generation.

Our Favorite AI Text Tools

Meet the best AI text tools: ChatGPT, Claude, Google Bard, and Pi. 

In our selection, we have chosen to highlight tools with proprietary models to ensure you tap into the most advanced and tailored AI capabilities available. 

This means that we have excluded tools like Perplexity AI and Bing AI, as they use the GPT model to OpenAI (same a as ChatGPT).

ChatGPT

ChatGPT stands a benchmark in AI text generation.

Developed by OpenAI, it took the world by storm when it launched in November 2022. By January 2023, it had already ammassed over a 100 million users. 

With a freemium model and a premium option at $20 per month, ChatGPT Plus offers access to GPT-4, enhancing the safety and utility of responses. 

It supports an impressive array of over 100 languages and comes with plugin capabilities, making it a comprehensive tool for a multitude of applications, from content creation to coding assistance. 

ChatGPT leads the pack with stellar performance scores, particularly in benchmarks like GSM8k and MMLU, making it the go-to choice for users seeking reliability and excellence.

Read more about ChatGPT

Claude

Claude, developed by Anthropic, is another advanced AI text generator. It is designed to understand and engage with nuance and context. 

Prioritizing safety and steerability, Claude offers an expansive token limit of 352,000, allowing for deep and meaningful interactions. 

Currently available in the US and UK, it's tailored for those who value detailed and nuanced AI conversations. Claude's performance in benchmarks is commendable, showcasing its potential as a conversational AI that can handle complex and subtle dialogues. 

Its English-only support reflects its focused approach to delivering quality over quantity.

Read more about Claude

Google Bard

Google Bard draws upon the extensive knowledge and data of Google, powered by the Pathways language model (PaLM 2).

It strikes a balance between reach and creativity, available in 180+ countries and supporting over 40 languages.

While Bard may not have plugin support, its strength lies in its ability to enhance search experiences and content discovery with a touch of AI creativity. 

Its performance benchmarks indicate a solid and reliable tool that can cater to a global audience, making it a versatile and accessible choice for users worldwide.

Read more about Bard

Pi

Pi is the emerging contender in the AI text tool arena, focusing on adaptability and speed with its unique Inflection-1 model.

Although it has a more modest token limit of 1,000 and supports only English, Pi's freemium model is attracting attention for its budget-friendly approach to Generative AI. It's particularly suited for those looking to dip their toes into AI-assisted text generation without a significant investment.

While Pi's performance benchmarks suggest there's room for growth, its commitment to adaptability and user-friendly access positions it as a promising tool for specialized tasks and users exploring AI for the first time.

Read more about Pi

Best Large Language Model

What is the best large language model (LLM)? Each large language model (LLM) stands out for its unique strengths, but ChatGPT 4 currently leads the pack with its impressive performance across various benchmarks. Close behind are Claude 2 and Bard, both offering formidable competition. Additionally, Pi, an emerging challenger, is showing promising potential in the field.

Benchmark Tests Overview

LLM Performance Snapshot

To evaluate these models, several benchmark tests have been employed:

  • GSM8k: This test involves middle school math word problems (Cobbe et al. 2021), using the chain-of-thought prompt for evaluation.

  • MMLU: This test comprises multidisciplinary multiple-choice questions (Hendrycks et al. 2021), where models are provided with 5-shot in-context examples.

  • HumanEval: A Python code completion task (Chen et al. 2021), this benchmark is zero-shot evaluated for pass@1.

  • MATH: Focused on middle and high school mathematics problems written in LaTeX (Hendrycks et al. 2021), this test uses a fixed 4-shot prompt.

We eagerly anticipate the opportunity to test Grok AI as it becomes more accessible, adding another dimension to this competitive landscape.

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