Remove Hybrid AI Remove Large Language Models Remove Neural Network
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Neetu Pathak, Co-Founder and CEO of Skymel – Interview Series

Unite.AI

While Apple, Samsung, and Qualcomm are demonstrating the power of hybrid AI through their ecosystem features, these remain walled gardens. But AI shouldn't be limited by which end-user device someone happens to use. NeuroSplit is fundamentally device-agnostic, cloud-agnostic, and neural network-agnostic.

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A Guide to Mastering Large Language Models

Unite.AI

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. What are Large Language Models and Why are They Important? Techniques like Word2Vec and BERT create embedding models which can be reused.

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Unbundling the Graph in GraphRAG

O'Reilly Media

One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. Do LLMs Really Adapt to Domains?

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Role of LLMs like ChatGPT in Scientific Research: The Integration of Scalable AI and High-Performance Computing to Address Complex Challenges and Accelerate Discovery Across Diverse Fields

Marktechpost

Scientific AI requires handling specific scientific data characteristics, including incorporating known domain knowledge such as partial differential equations (PDEs). Scaling AI systems involves both model-based and data-based parallelism.