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Home | Authors | Kaila Davis
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Kaila Davis

Kaila Davis holds expertise in Artificial Intelligence, Machine Learning, and Customer Data Managment. Kaila's work is influential, having been cited by thought leaders and captains of industry at various conferences. Her work has also been instrumental in helping companies develop strategies and architecture to capture and effectively use customer data. 
How Are Fine-Tuning Techniques Revolutionizing Language Models?
AI and ML
How Are Fine-Tuning Techniques Revolutionizing Language Models?

Language models have grown exponentially in capability, thanks to advancements in fine-tuning techniques. With large language models (LLMs) becoming increasingly instrumental across various sectors, three primary fine-tuning techniques—few-shot learning, prompt engineering, and domain-specific adaptation—have emerged as game-changers in different industries. As organizations strive for more efficient, adaptable, and accurate models, these techniques are paving the way for innovation and improved

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October 1, 2024
Sony Integrates AI to Accelerate PlayStation Game Development Globally
AI and ML
Sony Integrates AI to Accelerate PlayStation Game Development Globally

Sony is embarking on a groundbreaking journey to modernize its PlayStation game development process using artificial intelligence (AI) and machine learning (ML), aiming to enhance the efficiency and quality of game production and distribution while reaching a broader audience. This strategic shift is outlined in Sony’s latest corporate report, which promises faster content delivery at reduced costs. By integrating these

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October 1, 2024
Fine-Tuning Language Models: Boosting AI Efficiency and Personalization
AI and ML
Fine-Tuning Language Models: Boosting AI Efficiency and Personalization

In the rapidly evolving landscape of artificial intelligence, the ability to create highly personalized and efficient models is more critical than ever. Fine-tuning language models has become one of the key strategies in achieving this, allowing organizations to optimize AI systems for specific tasks while reducing overhead costs. Whether you’re working with large-scale applications or looking to improve user engagement

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September 30, 2024
Ensuring Ethical and Transparent AI Practices through Robust Governance
AI and ML
Ensuring Ethical and Transparent AI Practices through Robust Governance

Artificial Intelligence (AI) is transforming diverse sectors at an unprecedented pace, embedding itself into our daily lives. With this rapid proliferation, concerns around ethical, legal, and social implications have come to the forefront. Ensuring ethical and transparent AI practices through robust governance frameworks is essential for securing public trust and aligning AI advancements with societal values. As AI continues to

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September 30, 2024
Synthetic Data: Transforming AI Training Amid Data Shortages and Bias
AI and ML
Synthetic Data: Transforming AI Training Amid Data Shortages and Bias

The demand for vast amounts of data to train artificial intelligence (AI) models is soaring, putting pressure on traditional real-world data resources, which are becoming increasingly scarce. In response to this pressing challenge, synthetic data—computer-generated data that mimics real-world datasets—has emerged as a promising solution. This innovative approach allows for the creation of large volumes of data at relatively low

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September 30, 2024
How is AI Transforming Application Scaling with Modern Databases?
AI and ML
How is AI Transforming Application Scaling with Modern Databases?

The transformative role of artificial intelligence (AI) in application scaling, especially regarding modern databases, marks a significant shift from traditional methods. AI comes with promises of real-time, adaptive optimization, enhancing efficiency, reducing costs, and addressing the prevalent challenges of manual supervision and resource-intensive processes. Revolutionizing Application Scaling with AI Traditional vs. AI-Powered Methods Traditional application scaling methods often involved manual

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September 30, 2024
How Is Meta’s Llama 3.2 Transforming AI with Vision and Voice Tasks?
AI and ML
How Is Meta’s Llama 3.2 Transforming AI with Vision and Voice Tasks?

Meta’s recent advancements in large language models (LLMs) were unveiled at the Meta Connect event, highlighting the release of Llama 3.2. This is Meta’s first major vision model capable of understanding both images and text, marking a significant milestone in AI technology. Llama 3.2 includes small and medium-sized models, with 11 billion (11B) and 90 billion (90B) parameters respectively, and

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September 27, 2024
How Will Meta’s Llama Stack Transform Enterprise AI Deployment?
AI and ML
How Will Meta’s Llama Stack Transform Enterprise AI Deployment?

Meta’s latest initiative, unveiled at their annual Meta Connect developer conference, aims to revolutionize the field of Artificial Intelligence (AI) deployment by introducing Llama Stack distributions. Coupled with the release of the new Llama 3.2 models, this suite of tools is designed to streamline AI deployment across a wide array of computing environments. As businesses of all sizes grapple with

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September 27, 2024
Airtel Launches AI System to Combat Spam Calls and Messages
AI and ML
Airtel Launches AI System to Combat Spam Calls and Messages

In a bold move to combat the persistent issue of spam calls and unwanted messages that plague millions, Airtel has unveiled an AI-powered spam detection system aimed at elevating customer protection within the telecom industry. Despite efforts such as the Indian government’s "Do Not Disturb" registry, spam remains a significant problem, affecting approximately 90% of registered users. This glaring statistic

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September 27, 2024
Navigating Superintelligence: Opportunities, Ethical Dilemmas, and Risks
AI and ML
Navigating Superintelligence: Opportunities, Ethical Dilemmas, and Risks

The advent of superintelligence, a form of advanced AI surpassing human cognitive capabilities, is on the horizon. This transformative technology promises revolutionary changes across industries, with the potential to address some of the world’s most pressing challenges. However, it also raises significant ethical concerns and risks that require careful consideration. In this article, we will explore the opportunities, ethical dilemmas,

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September 27, 2024
How Can Together AI’s Platform Enhance Enterprise AI Deployment?
AI and ML
How Can Together AI’s Platform Enhance Enterprise AI Deployment?

In a significant development for enterprise AI technology, Together AI has introduced its groundbreaking Together Enterprise Platform. This recent announcement promises to revolutionize how businesses deploy artificial intelligence in virtual private cloud (VPC) and on-premises environments, directly tackling pervasive concerns around data privacy, security, and cost-efficiency. Launched in 2023, Together AI aims to simplify the integration and use of open-source

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September 27, 2024
How Will OpenAI’s New Voice Assistant Change Human-AI Interaction?
AI and ML
How Will OpenAI’s New Voice Assistant Change Human-AI Interaction?

OpenAI has unveiled its latest breakthrough: a new voice assistant for ChatGPT, complete with multiple voices, improved memory, and enhanced functionality. This innovation is set to redefine how humans interact with AI by fostering more natural, effective, and contextually aware communication. By delving into the key features, current applications, and future potential of OpenAI’s voice assistant, we can illuminate its

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September 26, 2024