Best Top 5 AI websites for developers to get AI-generated codes
The ability of AI websites for developers to obtain AI generated codes and make work more efficient continues to grow.
According to Fortunes Insights, the AI market will grow from $387.45 billion in 2022 to $1.39 trillion in 2029, a compound annual rate of growth of 20.1%. That’s especially impressive given the difficulty of implementing artificial intelligence.
The emergence of large language models (LLMs) that are developed using vast datasets with enormous amounts of data is one of the most recent advances in natural language processing (NLP). There are a number of LLMs available, including Google’s BERT and OpenAI’s GPT-2 and GPT-3. It is possible to generate anything from simple essays to actual financial models using these models.
OpenAI, Hugging Face, Cohere, and AI21 Labs are among the AI startups pushing the boundaries of LLM by training models of billions of parameters.
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Below are five AI-based code generators that can generate high-quality code and are based on large language models:
1. AI website for Developers: OpenAI Codex
Pricing: If you can get into the private beta, Codex is currently free to use. As they learn more about usage, they will consider pricing to enable a wide range of applications. Probably in a similar manner to GPT-3, where they provide different models and price them based on used tokens. Tokens are similar to words, with 1000 tokens equaling approximately 750 words and prices per 1000 tokens.
Video Link: https://www.youtube.com/watch?v=SGUCcjHTmGY
2. AI website for Developers: Tabnine
While Tabnine is not an end-to-end code generator, it enhances the integrated development environment’s (IDE) auto-completion feature. Tabnine, which was created in Rust by Jacob Jackson while a student at the University of Waterloo, has evolved into a full-fledged, AI-based code completion tool.
Tabnine supports over 20 languages and 15 editors, including popular integrated development environments (IDEs) such as VS Code, IntelliJ, Android Studio, and even Vim. It is available for $432 per year for a team of three developers.
Pricing: Tabnine pricing information is provided by the software provider or retrieved from publicly available pricing materials. To purchase Tabnine, final cost negotiations must be conducted with the seller. And the plans are constantly being updated; for more information, visit its official website.
Video Link: https://www.youtube.com/@Codota-Tabnine/videos
3. AI website for Developers: CodeT5
CodeT5 has the potential to add three capabilities to software development:
- Text-to-code generation: generate code that is based on the natural language description
- Code autocompletion: complete the whole function of code that is been given the target function name
- Code summarization: generate the summary of a particular function in natural language description
Video Link: https://www.youtube.com/watch?v=OpQ3bN3Vjx4&t=160s
4. AI website for Developers: Polycoder
Polycoder is an open source replacement for OpenAI’s Codex. The model was created by Carnegie Mellon University researchers and is based on OpenAI’s GPT-2, which was trained on a 249 GB codebase written in 12 programming languages. PolyCoder, according to its creators, is capable of writing C with greater accuracy than any other model, including Codex.
While the majority of code generators are proprietary, Polycoder was one of the first open source code generation models.
Pricing: No pricing information has been provided by Polycode for this product or service. This is standard procedure for software vendors and service providers. To obtain current pricing, please contact Polycode.
Video Link: https://www.youtube.com/@JonasBostoen
5. AI website for Developers: Cogram
Cogram, a Berlin-based Y-Combinator startup, is a code generation tool for data scientists and Python programmers that uses SQL queries and Jupyter Notebooks. Data scientists can write queries in English, which the tool will convert into complex SQL queries with joins as well as grouping. SQLite, PostgreSQL, MySQL, and Amazon Redshift are all supported.
Python and Julia developers can use Cogram with Jupyter Notebooks to generate code automatically. Based on the comments, the tool can generate contextual code for a specific task. Data scientists can even create visualisations using popular Python modules like Matplotlib, Plotly, or Seaborn.
Pricing: Cogram offers custom pricing for their software based on usage.
Video Link: https://www.youtube.com/watch?v=8i1zTdQ1xKI
The market for Smart autocomplete is still in its early stages. Google, Microsoft, Apple, and other companies have or will join the competition. With the development of large language models, Open AI’s GPT-3 is shockingly good and amazing this year, and massive high-quality code datasets like GitHub, we developers have confidence in the future of smart autocomplete.
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