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Auto-GPT & GPT-Engineer: An In-depth Guide to Today’s Leading AI Agents

Unite.AI

When comparing ChatGPT with Autonomous AI agents such as Auto-GPT and GPT-Engineer, a significant difference emerges in the decision-making process. Generative AI models like transformers are the State-of-the-Art core technology, driving these autonomous AI agents. Massive Update for Auto-GPT: Code Execution! ??

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10 Best AI Code Generators

Unite.AI

Best Features: Predictive code generation: GitHub Copilot goes beyond simple auto-completion. Cody by Sourcegraph Cody is another AI-driven coding assistant, this one developed by Sourcegraph. The tool offers an impressive set of features that extend beyond the scope of code completion.

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AI code-generation software: What it is and how it works

IBM Journey to AI blog

Using generative artificial intelligence (AI) solutions to produce computer code helps streamline the software development process and makes it easier for developers of all skill levels to write code. It can also modernize legacy code and translate code from one programming language to another.

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Unleashing the power of generative AI: Verisk’s Discovery Navigator revolutionizes medical record review

AWS Machine Learning Blog

With AI-powered analysis, the process of reviewing an average file of a few hundred pages is reduced to minutes with Discovery Navigator. It employs sophisticated AI to extract medical information from records, providing users with structured information that can be easily reviewed and uploaded into their claims management system.

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Fine-tune multimodal models for vision and text use cases on Amazon SageMaker JumpStart

AWS Machine Learning Blog

The integration of these multimodal capabilities has unlocked new possibilities for businesses and individuals, revolutionizing fields such as content creation, visual analytics, and software development. Vision Instruct models demonstrated impressive performance on the challenging DocVQA benchmark for visual question answering.

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Achieve up to ~2x higher throughput while reducing costs by up to ~50% for generative AI inference on Amazon SageMaker with the new inference optimization toolkit – Part 2

AWS Machine Learning Blog

As generative artificial intelligence (AI) inference becomes increasingly critical for businesses, customers are seeking ways to scale their generative AI operations or integrate generative AI models into existing workflows. In the following code, we set up a ModelBuilder class for the SageMaker JumpStart model.

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Why Accelerated Data Processing Is Crucial for AI Innovation in Every Industry

NVIDIA

Effective and precise AI models require training on extensive datasets. Enterprises seeking to harness the power of AI must establish a data pipeline that involves extracting data from diverse sources, transforming it into a consistent format and storing it efficiently.