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Why Organizations Are Transitioning from OpenAI to Fine-Tuned Open-Source Models


In the rapidly evolving generative AI landscape, OpenAI has revolutionized the way developers build prototypes, create demos, and achieve remarkable results with large language models (LLMs). However, when it’s time to put LLMs into production, organizations are increasingly moving away from commercial LLMs like OpenAI in favor of fine-tuned open-source models. What’s driving this shift, and why are developers embracing it? The primary motivations are simple…

The post Why Organizations Are Transitioning from OpenAI to Fine-Tuned Open-Source Models appeared first on DATAVERSITY.


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Author: Devvret Rishi

How Reducing Bias in AI Models Boosts Success


Artificial intelligence (AI) has the potential to revolutionize industries and improve decision-making processes, but it is not without challenges. One challenge is how to address the issue of bias in AI models to ensure fairness, equity, and satisfying outcomes. AI bias can arise from various sources, including training data, algorithm design, and human influence during […]

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Author: Mohan Krishna Mangamuri

Domain-Specific AI Models Render Conversational AI More Effective


According to Gartner, 80% of executives believe organizations can apply AI to any business decision. However, an AI-based decision is only as effective as the training data on which the AI model is built. The most effective, advanced solutions focus on domain-specific AI and ensure training data used in AI models is highly accurate and reliable. […]

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Author: Michael Armstrong