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Why the Rise of LLMs and GenAI Requires a New Approach to Data Storage


The new wave of data-hungry machine learning (ML) and generative AI (GenAI)-driven operations and security solutions has increased the urgency for companies to adopt new approaches to data storage. These solutions need access to vast amounts of data for model training and observability. However, to be successful, ML pipelines must use data platforms that offer […]

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Author: Marty Kagan

Generative AI Challenges and Opportunities for Modern Enterprises


Generative AI (GenAI), machine learning (ML), and large language models (LLMs) are all becoming increasingly important to modern enterprises, but achieving measurable value from AI is still a challenge. Part of the issue is that a well-trained AI model relies on a large amount of data, and for many companies, organizing and making use of […]

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Author: Coral Trivedi

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…

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Author: Devvret Rishi

The Rise of RAG-Based LLMs in 2024


As we step into 2024, one trend stands out prominently on the horizon: the rise of retrieval-augmented generation (RAG) models in the realm of large language models (LLMs). In the wake of challenges posed by hallucinations and training limitations, RAG-based LLMs are emerging as a promising solution that could reshape how enterprises handle data. The surge […]

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Author: Kyle Kirwan

2024: Fewer Hallucinations, Private LLMs, and IP Challenges for GenAI Content


For those of us who have been in the AI field for a while, we’ve weathered at least two “AI winters,” interspersed with phases of rapid progress. However, 2023 stands out as a pivotal moment in the trajectory of AI. ChatGPT and other large language models (LLMs) have democratized AI for non-experts, offering immense utility, […]

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Author: Jans Aasman

Blockchain-Based LLMs: A Game Changer for Data Privacy Protection


In today’s digital age, data privacy has become a major concern for individuals and organizations alike. With the increasing number of data breaches and unauthorized access to personal information, the need for robust data privacy protection measures has never been more pressing. That’s where blockchain-based large language models (LLMs) comes into play. Blockchain is a […]

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Author: Samreen Rizvi

Five Trends Shaping Enterprise Data Labeling for LLM Development


In an era where large language models (LLMs) are redefining AI digital interactions, the criticality of accurate, high-quality, and pertinent data labeling emerges as paramount. That means data labelers and the vendors overseeing them must seamlessly blend data quality with human expertise and ethical work practices. Crafting data repositories for LLMs requires diverse and domain-specific […]

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Author: Matthew McMullen