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10 Exciting Projects on Large Language Models(LLM)

Analytics Vidhya

Especially if you’re in software development or data science. With advanced large […] The post 10 Exciting Projects on Large Language Models(LLM) appeared first on Analytics Vidhya. A portfolio of your projects, blog posts, and open-source contributions can set you apart from other candidates.

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Will Large Language Models End Programming?

Unite.AI

The era of manually crafting code is giving way to AI-driven systems, trained instead of programmed, signifying a fundamental change in software development. Ensuring ethical use and addressing these biases is crucial for the responsible development of AI-driven programming tools. appeared first on Unite.AI.

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Amazon Introduces Groundbreaking AI Tools to Revolutionize Generative AI and Software Development

Analytics Vidhya

Generative AI has made significant strides in recent years, thanks to the development of foundation models (FMs) like large language models and text-to-image models.

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MIT Researchers Propose AskIt: A Domain-Specific Language for Streamlining Large Language Model Integration in Software Development

Marktechpost

Recent research has brought to light the extraordinary capabilities of Large Language Models (LLMs), which become even more impressive as the models grow. The idea of emerging abilities is intriguing because it suggests that with further development of language models, even more complex abilities might arise.

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Replit Raises $97.4 M to Expand AI-Powered Software Development Platform

Analytics Vidhya

Replit is a software development platform that enables developers to set up development environments and release fully functional live apps in seconds. million developers globally. It plans to use the new funding to support its core development experience. […] The post Replit Raises $97.4

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Google DeepMind Introduces Round-Trip Correctness for Assessing Large Language Models

Marktechpost

The advent of code-generating Large Language Models (LLMs) has marked a significant leap forward. These models, capable of understanding and generating code, are revolutionizing how developers approach coding tasks. Accurately assessing these models’ capabilities remains a challenge.

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Towards Autonomous Software Development: The SWE-agent Revolution

Marktechpost

Language models (LMs) have gained traction as aids in software engineering, where users act as intermediaries between LMs and computers, refining LM-generated code based on computer feedback. Recent advancements depict LMs functioning autonomously in computer environments, potentially expediting software development.