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Top 11 LLM Tools That Ensure Smooth LLM Operations

Openxcell

LLM or large language models are deep learning models trained on vast amounts of linguistic data so they understand and respond in natural language (human-like texts). These encoders and decoders help the LLM model contextualize the input data and, based on that, generate appropriate responses.

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10 most in-demand enterprise IT skills

CIO

Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Its widespread use in the enterprise makes it a steady entry on any in-demand skill list.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. Performance enhancements.

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AI market evolution: Data and infrastructure transformation through AI

CIO

Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. Additionally, 90% of respondents intend to purchase or leverage existing AI models, including open-source options, when building AI applications, while only 10% plan to develop their own.

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8 open source companies from YC Demo Day Winter ’22

TechCrunch

Wicked fast VPNs, data organization tools, auto-generated videos to spice up your company’s Instagram stories … Y Combinator’s Winter 2022 open source founders have some interesting ideas up their sleeves. And since they’re open source, some of these companies will let you join in on the fun of collaboration too.

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The Power of Small LLMs in Healthcare: A RAG Framework Alternative to Large Language Models

John Snow Labs

Our results indicate that, for specialized healthcare tasks like answering clinical questions or summarizing medical research, these smaller models offer both efficiency and high relevance, positioning them as an effective alternative to larger counterparts within a RAG setup. The prompt is fed into the LLM.

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Improving Retrieval Augmented Generation accuracy with GraphRAG

AWS Machine Learning - AI

Using their solution, they compared GraphRAGs hybrid pipeline against a leading open source RAG package, Verba by Weaviate , a baseline RAG reference reliant solely on vector stores. With AWS, you have access to scalable infrastructure and advanced services like Amazon Neptune , a fully managed graph database service.