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Code Evolution: Transforming Software Development with Generative AI Adoption

Becoming Human

In software development, staying ahead of the curve is vital for businesses that needs to deliver innovative and efficient solutions. The use of Generative AI is one of the most exciting technological developments that is changing the pattern for software development.

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Samsung unveils Gauss2 AI model at SDC24 Korea

AI News

Samsung has revealed Gauss2, the second-generation proprietary AI model set to significantly enhance user experiences. Samsung Gauss2: Multimodal AI Gauss2 builds upon last year’s internal generative AI model, showcasing advancements in handling language, code, and images. AI coding assistant.

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Generative AI vs. predictive AI: What’s the difference?

IBM Journey to AI blog

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. Software like DALL-E or Midjourney can create original art or realistic images from natural language descriptions. But generative AI is not predictive AI.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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With generative AI, don’t believe the hype (or the anti-hype)

IBM Journey to AI blog

No technology in human history has seen as much interest in such a short time as generative AI (gen AI). Many leading tech companies are pouring billions of dollars into training large language models (LLMs). How might generative AI achieve this? But can this technology justify the investment?

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EvolutionaryScale Debuts With ESM3 Generative AI Model for Protein Design

NVIDIA

Generative AI has revolutionized software development with prompt-based code generation — protein design is next. The 98 billion parameter ESM3 model uses roughly 25x more flops and 60x more data than its predecessor, ESM2.

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Generative AI in Finance: FinGPT, BloombergGPT & Beyond

Unite.AI

Generative AI refers to models that can generate new data samples that are similar to the input data. The success of ChatGPT opened many opportunities across industries, inspiring enterprises to design their own large language models. The finance sector, driven by data, is now even more data-intensive than ever.