Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks.

Large Language Models 277

Large Language Models Prompt Engineer Prompt Engineering Neural Network 277

AWS Machine Learning Blog

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Effective prompt engineering is key to developing natural language to SQL systems.

Prompt Engineer 113

Prompt Engineer Prompt Engineering Generative AI LLM 113

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.

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Large Language Models Prompt Engineer Prompt Engineering LLM 130

AWS Machine Learning Blog

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. You can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

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Generative AI Prompt Engineer Prompt Engineering LLM 99

AWS Machine Learning Blog

MARCH 4, 2024

Alida’s customers receive tens of thousands of engaged responses for a single survey, therefore the Alida team opted to leverage machine learning (ML) to serve their customers at scale. Amazon Bedrock is a game changer, it allows us to leverage LLMs without the complexity.”

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NLP LLM Prompt Engineer Prompt Engineering 96

AWS Machine Learning Blog

APRIL 24, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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Conversational AI LLM AI AI 102

ODSC - Open Data Science

JULY 3, 2023

Because of this, LLMs have a wide range of potential applications, including in the fields of natural language processing, machine translation, and text generation. PaLM 2 also demonstrates robust reasoning capabilities and stable performance on a suite of responsible AI evaluations. Dolly Dolly 2.0

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Large Language Models Natural Language Processing Data Science Prompt Engineer 98

ODSC - Open Data Science

DECEMBER 1, 2023

Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning The purpose of this course is to give you hands-on practice with Generative AI models. You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning.

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Data Science DevOps Large Language Models Machine Learning 52

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring.

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Generative AI LLM ML AI 116

AWS Machine Learning Blog

NOVEMBER 22, 2023

Hear best practices for using unstructured (video, image, PDF), semi-structured (Parquet), and table-formatted (Iceberg) data for training, fine-tuning, checkpointing, and prompt engineering. Also hear different architectural patterns that customers use today to harness their business data for customized generative AI solutions.

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ML Generative AI Prompt Engineer Prompt Engineering 103

The MLOps Blog

JUNE 27, 2023

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. Scale AI combines human annotators and machine learning algorithms to deliver efficient and reliable annotations for your team.

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Machine Learning Metadata Data Scientist Data Quality 134