Cosines New AI Software Developer GENIE Surprises Everyone! (AI Software Engineer)

1. Genie's unique approach involves training based on human reasoning.

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Cosine's Genie model is trained using real examples of software engineers' reasoning, enabling it to tackle problems like a human.

• Data set includes perfect information lineage and step-by-step decision-making.
• Genie's training focuses on deriving human reasoning from actual software engineering tasks.
• Model is trained on a unique data set rather than just using prompting like other models.

2. Genie's iterative problem-solving mimics human developers.

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Genie iteratively fetches relevant files, writes code, and debugs like a human developer, showcasing a deep understanding of software engineering processes.

• Model retrieves files intuitively related to the issue being addressed.
• Genie can edit code in place and run debugging tools similar to human developers.
• The model's iterative problem-solving process allows for multiple approaches to a problem.

3. Genie's agentic loop enhances performance through human-like tasks.

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Genie's agentic loop involves planning, retrieval, code writing, and code running, mimicking human processes for improved model performance.

• Model is trained to perform tasks as a human would, enhancing overall performance.
• Genie's training focuses on performing tasks like a human rather than a base language model.
• The agentic loop approach extracts more performance from the model.

4. Self-improvement training boosts Genie's capabilities.

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Cosine used self-improvement training by correcting Genie's mistakes iteratively, leading to stronger initial solutions and reduced correction needs.

• Training involved showing Genie how to correct mistakes and adding these examples to the training data.
• Iterative self-improvement process resulted in stronger initial solutions and reduced correction requirements.
• Repeated self-improvement cycles enhanced Genie's capabilities over time.

5. Genie's future plans include broadening capabilities and enhancing data sets.

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Cosine aims to enhance Genie's capabilities by broadening data, introducing new features, and improving generalization across programming languages and frameworks.

• Future plans involve refining the data set, introducing new capabilities, and expanding proficiency in various programming languages.
• Genie will become proficient in more languages and frameworks, catering to different task complexities.
• Open-source model and pre-training aim to improve generalization and specialized data reconciliation.