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Boosting LLMs to New Heights with Retrieval Augmented Generation

Businesses today can make leaps and bounds to revolutionize the way things are done with the use of Large Language Models (LLMs). LLMs are widely used by businesses today to automate certain tasks and create internal or customer-facing chatbots that boost efficiency. Challenges with dynamic adaption of LLMs As with any new hyped-up thi...

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Entrenando Tu Propio LLM Sin Programación
by Favio Vazquez | October 06, 2023 Generative AI, H2O LLM Studio

This blog was originally published in English here: https://www.analyticsvidhya.com/blog/2023/09/training-your-own-llm-without-coding/ Introducción La Inteligencia Artificial Generativa, un campo fascinante que promete revolucionar cómo interactuamos con la tecnología y generamos contenido, ha causado sensación en el mundo. En este artí...

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H2O LLM DataStudio Part II: Convert Documents to QA Pairs for fine tuning of LLMs
by Genevieve Richards, Tarique Hussain, Shivam Bansal | September 22, 2023 Generative AI, H2O LLM Studio

Convert unstructured datasets to Question-answer pairs required for LLM fine-tuning and other downstream tasks with H2O LLM Data Studio Curate. Every organization needs to own its GPT as simply as it needs to bring its data, algorithms, and models (read more here). A common problem we see in organizations is that they want to be able to...

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Testing Large Language Model (LLM) Vulnerabilities Using Adversarial Attacks
by Kim Montgomery, Pramit Choudhary, Michal Malohlava | July 19, 2023 Generative AI, H2O LLM Studio, LLM Limitations, LLM Robustness, LLM Safety, Large Language Models, Responsible AI

Adversarial analysis seeks to explain a machine learning model by understanding locally what changes need to be made to the input to change a model’s outcome. Depending on the context, adversarial results could be used as attacks, in which a change is made to trick a model into reaching a different outcome. Or they could be used as an exp...

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Generating LLM Powered Apps using H2O LLM AppStudio – Part1: Sketch2App

sketch2app is an application that let users instantly convert sketches to fully functional AI applications. This blog is Part 1 of the LLM AppStudio Blog Series and introduces sketch2app The H2O.ai team is dedicated to democratizing AI and making it accessible to everyone. One of the focus areas of our team is to simplify the adoption of...

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H2O LLM DataStudio: Streamlining Data Curation and Data Preparation for LLMs related tasks
by Shivam Bansal, Sanjeepan Sivapiran, Nishaanthini Gnanavel | June 14, 2023 Data, Data Preparation, H2O LLM Studio, Large Language Models, NLP, h2oGPT

A no-code application and toolkit to streamline data preparation tasks related to Large Language Models (LLMs) H2O LLM DataStudio is a no-code application designed to streamline data preparation tasks specifically for Large Language Models (LLMs). It offers a comprehensive range of preprocessing and preparation functions such as text cl...

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Democratization of LLMs
by Sri Ambati | May 08, 2023 H2O LLM Studio, Large Language Models, h2oGPT

Every organization needs to own its GPT as simply as we need to own our data, algorithms and models. H2O LLM Studio democratizes LLMs for everyone allowing customers, communities and individuals to fine-tune large open source LLMs like h2oGPT and others on their own private data and on their servers. Every nation, state and city needs it...

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Effortless Fine-Tuning of Large Language Models with Open-Source H2O LLM Studio
by Parul Pandey | May 01, 2023 H2O LLM Studio, Large Language Models

While the pace at which Large Language Models (LLMs) have been driving breakthroughs is remarkable, these pre-trained models may not always be tailored to specific domains. Fine-tuning — the process of adapting a pre-trained language model to a specific task or domain—plays a critical role in NLP applications. However, fine-tuning can be ...

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