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JetBrains launches Mellum, an AI model built to assist developers with code completion - SiliconANGLE
JetBrains launches Mellum, an AI model built to assist developers with code completion Professional software development tool company JetBrains s.r.o. announced Tuesday the release of a new proprietary artificial intelligence large language model named Mellum trained in coding know-how that will assist software developers. "Unlike typical large language models, Mellum is built specifically for coding," said Valerie Kazmina, product marketing manager at JetBrains. "We are focused on creating a smaller, optimized model that significantly reduces latency, offering developers suggestions almost instantly. This makes Mellum more efficient than many of the third-party models currently available on the market." Mellum is currently integrated into the JetBrains AI Assistant, an intelligent coding companion available to users of the company's independent development editors. These editors are software applications used by developers and engineers that combine the tasks of writing code, building, debugging and testing software into a single platform. According to testing, the company said that Mellum reduced the time it takes to produce code suggestions as developers write, reflecting a decrease of up to one-third of the previous time. Coders using the new LLM have an acceptance rate of around 40%, meaning that they hit enter and apply the suggested code, which is considered a high rate for the industry. Mellum supports popular programming languages out-of-the-box including Java, Kotlin, Python, Go and PHP. JetBrains said that more languages are on the way and in testing to get support for more, users can join the early access program. Cloud-based code completion is only available for users with an AI Pro subscription but users with paid versions of the company's IntelliJ-based IDE have local AI-powered code completion bundled by default. The release of Mellum is part of JetBrain's strategy to maintain an industry-leading role with its developer platform products and AI-powered coding assistants. By streamlining an LLM for code-only on the code-completion side, it can provide developers with fast, accurate suggestions in their code and leave the copilot needs to its AI chatbot. Competitors in the AI-code assistant industry include Microsoft Corp.-owned GitHub and Tabnine Ltd., which also have IDE-integrated code completion and copilot tools. "Mellum's power isn't just in its speed and accuracy; it also benefits from deep integration with JetBrains IDEs," said Kazmina. "This synergy between the client-side IDE and server-side AI logic allows Mellum to deliver contextually aware code suggestions that are tailored to each project's needs."
[2]
JetBrains launches Mellum, an LLM built to assist developers with code completion - SiliconANGLE
JetBrains launches Mellum, an LLM built to assist developers with code completion Professional software development tool company JetBrains s.r.o. announced Tuesday the release of a new proprietary artificial intelligence large language model named Mellum trained in coding know-how that will assist software developers. "Unlike typical large language models, Mellum is built specifically for coding. We are focused on creating a smaller, optimized model that significantly reduces latency, offering developers suggestions almost instantly," said Valerie Kazmina, product marketing manager at JetBrains. "This makes Mellum more efficient than many of the third-party models currently available on the market." Mellum is currently integrated into the JetBrains AI Assistant, an intelligent coding companion available to users of the company's independent development editors. These editors are software applications used by developers and engineers that combine the tasks of writing code, building, debugging and testing software into a single platform. According to testing, the company said that Mellum reduced the time it takes to produce code suggestions as developers write, reflecting a decrease of up to one-third of the previous time. Coders using the new LLM have an acceptance rate of around 40%, meaning that they hit enter and apply the suggested code, which is considered a high rate for the industry. Mellum supports popular programming languages out-of-the-box including Java, Kotlin, Python, Go and PHP. JetBrains said that more languages are on the way and in testing to get support for more, users can join the early access program. Cloud-based code completion is only available for users with an AI Pro subscription but users with paid versions of the company's IntelliJ-based IDE have local AI-powered code completion bundled by default. The release of Mellum is part of JetBrain's strategy to maintain an industry-leading role with its developer platform products and AI-powered coding assistants. By streamlining an LLM for code-only on the code-completion side, it can provide developers with fast, accurate suggestions in their code and leave the copilot needs to its AI chatbot. Competitors in the AI-code assistant industry include Microsoft Corp.-owned GitHub and Tabnine Ltd., which also have IDE-integrated code completion and copilot tools. "Mellum's power isn't just in its speed and accuracy; it also benefits from deep integration with JetBrains IDEs," said Kazmina. "This synergy between the client-side IDE and server-side AI logic allows Mellum to deliver contextually aware code suggestions that are tailored to each project's needs."
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JetBrains introduces Mellum, a proprietary AI large language model designed specifically for coding assistance, offering faster and more accurate code suggestions for developers.
JetBrains, a leading professional software development tool company, has announced the launch of Mellum, a proprietary artificial intelligence large language model (LLM) specifically designed to assist developers with code completion 12. This new AI model represents a significant advancement in the field of AI-powered coding assistants, offering improved efficiency and accuracy for software developers.
Unlike typical large language models, Mellum is built exclusively for coding purposes. Valerie Kazmina, product marketing manager at JetBrains, emphasized that Mellum is "a smaller, optimized model that significantly reduces latency, offering developers suggestions almost instantly" 1. This specialized focus allows Mellum to outperform many third-party models currently available in the market in terms of efficiency.
Mellum has been integrated into the JetBrains AI Assistant, an intelligent coding companion available to users of the company's independent development editors 1. These editors combine various tasks such as writing code, building, debugging, and testing software into a single platform.
According to JetBrains' testing, Mellum has demonstrated impressive performance improvements:
Mellum currently supports several popular programming languages out-of-the-box, including Java, Kotlin, Python, Go, and PHP 12. JetBrains has announced plans to expand language support and is inviting users to join their early access program for testing upcoming additions.
The availability of Mellum's features depends on the user's subscription:
The release of Mellum is a crucial part of JetBrains' strategy to maintain its industry-leading position in developer platform products and AI-powered coding assistants 12. By focusing on code-completion efficiency, JetBrains aims to provide developers with fast, accurate suggestions while addressing other coding needs through its AI chatbot.
Kazmina highlighted the synergy between Mellum and JetBrains IDEs, stating, "This synergy between the client-side IDE and server-side AI logic allows Mellum to deliver contextually aware code suggestions that are tailored to each project's needs" 12.
JetBrains' introduction of Mellum places it in direct competition with other major players in the AI-code assistant industry. Notable competitors include Microsoft-owned GitHub and Tabnine Ltd., both of which offer IDE-integrated code completion and copilot tools 12. As the demand for AI-powered coding assistance grows, the competition in this space is likely to intensify, driving further innovation and improvements in developer productivity tools.
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