Remove 2015 Remove Artificial Intelligence Remove Natural Language Processing
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Two Indispensable Tools for Measuring the Quality of AI Systems

ODSC - Open Data Science

In the case of even a simple large language model (LLM) question and answer use case, traditional natural language processing (NLP) metrics fall short of judging whether the free text output conceptually matches that of what we expect.

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OpenAI

Dataconomy

OpenAI has solidified its position as a pivotal force in the rapidly evolving field of artificial intelligence, continually pushing boundaries with innovative technologies that impact various sectors. 2015: Founding of OpenAI. December 2015: Release of OpenAI Gym, an open-source toolkit for reinforcement learning.

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Build a scalable AI assistant to help refugees using AWS

AWS Machine Learning Blog

Amazon Simple Storage Service (Amazon S3) provides secure storage for conversation logs and supporting documents, and Amazon Bedrock powers the core natural language processing capabilities. In the process of implementation, we discovered that Anthropics Claude 3.5

AWS 100
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Evolving Trends in Data Science: Insights from ODSC Conference Sessions from 2015 to 2024

ODSC - Open Data Science

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. The Deep Learning Boom (20182019) Between 2018 and 2019, deep learning dominated the conference landscape.

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Counting shots, making strides: Zero, one and few-shot learning unleashed 

Data Science Dojo

In the dynamic field of artificial intelligence, traditional machine learning, reliant on extensive labeled datasets, has given way to transformative learning paradigms. For instance, in natural language processing, a model trained on various languages might be tasked with translating a language it has never seen before.

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Generative AI: The Future of Artificial Intelligence (AI)

Towards AI

Generative AI is a subset of artificial intelligence (AI) that involves using algorithms to create new data. The key difference between generative AI and other types of AI is that generative AI is focused on the creation of new data, rather than simply analyzing or processing existing data. What is Generative AI?

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How does Salesforce use artificial intelligence to transform businesses?

Dataconomy

Artificial intelligence (AI) is one of the most frequently discussed topics nowadays. But the real progress happened in 2015. Einstein GPT supercharges CRM with advanced natural language processing, helping businesses communicate better, understand customers, and craft content.