Unite.AI

FEBRUARY 7, 2024

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. MLOps are practices that automate and simplify ML workflows and deployments. LLMs can understand the complexities of human language better than other models.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

Unite.AI

DECEMBER 1, 2023

As we continue to integrate AI more deeply into various sectors, the ability to interpret and understand these models becomes not just a technical necessity but a fundamental requirement for ethical and responsible AI development. Impact of the LLM Black Box Problem 1.

LLM 264

LLM Machine Learning Explainability Algorithm 264

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. LLMs utilize embeddings to understand word context.

Large Language Models 130

Large Language Models Prompt Engineer Prompt Engineering LLM 130

AssemblyAI

MAY 23, 2023

LLMs are transforming the AI commercial landscape at unprecedented speed. Industry leaders like Microsoft and Google recognize the importance of LLMs in driving innovation, automation, and enhancing user experiences. Determining the necessary data for training an LLM is challenging. months on average.

Large Language Models 130

Large Language Models Neural Network LLM Chatbots 130

John Snow Labs

NOVEMBER 6, 2023

On the other hand, LangTest has emerged as a transformative force in the realm of Natural Language Processing (NLP) and Large Language Model (LLM) evaluation. The library’s core emphasis is on depth, automation, and adaptability, ensuring that any system integrated into real-world scenarios is beyond reproach.

ML 52

ML Natural Language Processing BERT Large Language Models 52

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes. You can use FMEval to evaluate AWS-hosted LLMs such as Amazon Bedrock, Jumpstart and other SageMaker models.

Large Language Models 83

Large Language Models LLM Algorithm Responsible AI 83

John Snow Labs

SEPTEMBER 26, 2023

to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” of data science teams have implemented LLM applications currently in use by their own or client companies. According to the data collected by Forbes , over a half (53.3%

NLP 52

NLP Large Language Models LLM Data Scientist 52