JetBrains, the corporate behind a spread of widespread app improvement instruments, has launched its first “open” AI mannequin for coding.
On Wednesday, JetBrains made Mellum, a code-generating mannequin the corporate launched for its numerous software program improvement suites final 12 months, overtly out there on the AI dev platform Hugging Face. Mellum, educated on greater than 4 trillion tokens, weighs in at 4 billion parameters, and is designed particularly for code completion (i.e. finishing code snippets based mostly on the encompassing context).
Parameters roughly correspond to a mannequin’s problem-solving expertise, whereas tokens are the uncooked bits of information {that a} mannequin processes. 1,000,000 tokens is equal to ~30,000 traces of code.
“Designed for integration into skilled developer tooling (e.g. clever code strategies in built-in developer environments), AI-powered coding assistants, and analysis on code understanding and era, Mellum can be well-suited for academic purposes and fine-tuning experiments,” explains JetBrains in a technical report.
JetBrains says that it educated Mellum, which is Apache 2.0-licensed, on a set of information units together with permissively licensed code from GitHub and English-language Wikipedia articles. Training took round 20 days on a cluster of 256 H200 Nvidia GPUs.
Mellum takes some work to rise up and operating. The base mannequin can’t be used out of the field; it needs to be fine-tuned first. While JetBrians has offered just a few Mellum fashions fine-tuned for Python, the corporate cautions that they’re meant for “estimation about potential capabilities” — not deploying right into a manufacturing atmosphere.
AI-generated code is little question altering how software program is constructed, nevertheless it’s additionally introducing new safety challenges. More than 50% of organizations encounter safety points with AI-produced code typically or incessantly, in keeping with a late 2023 survey by developer safety platform Synk.
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Indeed, JetBrains notes that Mellum might “replicate biases current in public codebases” (e.g. producing code comparable in model to open supply repositories), and that its code strategies received’t essentially be “safe or freed from vulnerabilities.”
“This is only the start,” JetBrains wrote in a weblog put up. “We’re not chasing generality — we’re constructing focus. If Mellum sparks even one significant experiment, contribution, or collaboration, we’d think about it a win.”
