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Benchmarks of reasoning models. Source
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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The API itself is pretty straightforward. You can use it with the OpenAI package on NPM or PIP, or make an HTTP Request. Note for this demo I will be using NodeJS. I will be working in an empty folder with an index.js file, and a package.json file.
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Typically, training parts of an AI model usually meant updating the whole thing, even if some parts didn't contribute anything, which lead to a massive waste of resources. To solve this, they introduced an Auxiliary-Loss-Free (ALS) Load Balancing. The ALS Load Balancing works by introducing a bias factor to prevent overloading one chip, while under-utilizing another (Source). This resulted in only 5% of the model's parameters being trained per-token, and around 91% cheaper cost to train than GPT 4 (GPT 4 costed $63 million to train (Source) and V3 costed $5.576 million to train. (Source))
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ollama
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, and other large language models.
Download Ollama
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If you are trying to render this in the browser, we can use the marked library in order to convert the markdown into HTML code.
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You can use DeepSeek V3 and R1 for free on their official website.