AWS Machine Learning Blog

MAY 17, 2024

Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs).

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Generative AI LLM Prompt Engineering Prompt Engineer 127

Unite.AI

SEPTEMBER 11, 2023

Agile Development SOPs act as a meta-function here, coordinating agents to auto-generate code based on defined inputs. In simple terms, it's as if you've turned a highly coordinated team of software engineers into an adaptable, intelligent software system.

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Python Software Development OpenAI Software Engineer 328

AWS Machine Learning Blog

AUGUST 22, 2024

At the forefront of harnessing cutting-edge technologies in the insurance sector such as generative artificial intelligence (AI), Verisk is committed to enhancing its clients’ operational efficiencies, productivity, and profitability. Discovery Navigator recently released automated generative AI record summarization capabilities.

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Generative AI Auto-complete Software Development Automation 99

AWS Machine Learning Blog

FEBRUARY 19, 2025

Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. Automated Reasoning checks can detect hallucinations, suggest corrections, and highlight unstated assumptions in the response of your generative AI application.

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Automation Explainability Auto-complete Generative AI 74

Marktechpost

APRIL 16, 2024

Introduction to Generative AI “Introduction to Generative AI” covers the fundamentals of generative AI and how to use it safely and effectively. It explains the fundamentals of LLMs and generative AI and also covers prompt engineering to improve performance.

Large Language Models 104

Large Language Models Auto-complete Prompt Engineering Prompt Engineer 104

ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. Various prompting techniques, such as Zero/Few Shot, Chain-of-Thought (CoT)/Self-Consistency, ReAct, etc.

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Prompt Engineering Prompt Engineer Large Language Models Responsible AI 52

AWS Machine Learning Blog

MARCH 19, 2024

Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use of prompt engineering can notably enhance their performance. One way to implement a zero-shot CoT is via prompt augmentation with the instruction to “think step by step.”

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Auto-complete NLP Prompt Engineering Prompt Engineer 117

AWS Machine Learning Blog

DECEMBER 5, 2023

The insurance provider receives payout claims from the beneficiary’s attorney for different insurance types, such as home, auto, and life insurance. When this is complete, the document can be routed to the appropriate department or downstream process. The following diagram outlines the proposed solution architecture. append(e["Text"].upper())

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Metadata Auto-classification Auto-complete Content Enrichment 114

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Today, generative AI models cover a variety of tasks from text summarization, Q&A, and image and video generation. To improve the quality of output, approaches like n-short learning, Prompt engineering, Retrieval Augmented Generation (RAG) and fine tuning are used.

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Python Machine Learning Auto-complete Data Science 121

Mlearning.ai

JULY 3, 2023

Life however decided to take me down a different path (partly thanks to Fujifilm discontinuing various films ), although I have never quite completely forgotten about glamour photography. Stable Diffusion — Generative AI for Paupers, Misers and Cheapskates Many state-of-the-art generative AI models are not open source or free to use.

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AWS Machine Learning Blog

MAY 17, 2023

AWS delivers services that meet customers’ artificial intelligence (AI) and machine learning (ML) needs with services ranging from custom hardware like AWS Trainium and AWS Inferentia to generative AI foundation models (FMs) on Amazon Bedrock. Download the generated text file to view the transcription. format(' '.join(chunk_summaries),

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Large Language Models Auto-complete ML Generative AI 77

AWS Machine Learning Blog

FEBRUARY 19, 2024

Mask prompt – A mask prompt is a natural language text description of the elements you want to affect, that uses an in-house text-to-segmentation model. For more information, refer to Prompt Engineering Guidelines. To remove an element, omit the text parameter completely. Parse and decode the response.

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AWS Machine Learning Blog

JUNE 20, 2024

Additionally, evaluation can identify potential biases, hallucinations, inconsistencies, or factual errors that may arise from the integration of external sources or from sub-optimal prompt engineering. In this case, the model choice needs to be revisited or further prompt engineering needs to be done.

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Auto-classification LLM Prompt Engineering Prompt Engineer 123

AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. Solution overview The proposed VLP solution integrates a suite of state-of-the-art generative AI modules to yield accurate multimodal outputs.

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Auto-classification LLM Auto-complete Generative AI 107

AWS Machine Learning Blog

APRIL 17, 2023

Sparked by the release of large AI models like AlexaTM , GPT , OpenChatKit , BLOOM , GPT-J , GPT-NeoX , FLAN-T5 , OPT , Stable Diffusion , and ControlNet , the popularity of generative AI has seen a recent boom. For more information, refer to EMNLP: Prompt engineering is the new feature engineering.

Prompt Engineering 88

Prompt Engineering Prompt Engineer Deep Learning Machine Learning 88

AWS Machine Learning Blog

APRIL 16, 2024

To learn more about SageMaker Studio JupyterLab Spaces, refer to Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools. To store information in Secrets Manager, complete the following steps: On the Secrets Manager console, choose Store a new secret.

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Data Scientist Generative AI Machine Learning ML 104

AWS Machine Learning Blog

APRIL 20, 2023

A complete example is available in our GitHub notebook. To run the Inference Recommender job, complete the following steps: Create a SageMaker model by specifying the framework, version, and image scope: model = Model( model_data=model_url, role=role, image_uri = sagemaker.image_uris.retrieve(framework="xgboost", region=region, version="1.5-1",

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ML Auto-classification Python Auto-complete 87

Snorkel AI

JUNE 7, 2023

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. The output of generative models defies simple comparisons to test sets. We are, in our view, in a bit of a hype cycle,” he said.

Data Scientist 52

Data Scientist Large Language Models Machine Learning Data Science 52

Snorkel AI

JUNE 7, 2023

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. The output of generative models defies simple comparisons to test sets. We are, in our view, in a bit of a hype cycle,” he said.

Data Scientist 52

Data Scientist Large Language Models Machine Learning Data Science 52

Snorkel AI

MARCH 2, 2023

I am Ali Arsanjani, and I lead partner engineering for Google Cloud, specializing in the area of AI-ML, and I’m very happy to be here today with everyone. Others, toward language completion and further downstream tasks. In retail: generating product descriptions and recommendations and customer churn and these types of things.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Neural Network 52

Snorkel AI

MARCH 2, 2023

I am Ali Arsanjani, and I lead partner engineering for Google Cloud, specializing in the area of AI-ML, and I’m very happy to be here today with everyone. Others, toward language completion and further downstream tasks. In retail: generating product descriptions and recommendations and customer churn and these types of things.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Neural Network 52

Topbots

JUNE 29, 2023

On a more advanced stance, everyone who has done SQL query optimisation will know that many roads lead to the same result, and semantically equivalent queries might have completely different syntax. 3] provides a more complete survey of Text2SQL data augmentation techniques. different variants of semantic parsing.

Algorithm 52

Algorithm Auto-complete Data Scientist Auto-classification 52

Unite.AI

JUNE 15, 2023

Forethought, the AI and Machine Learning platform for the enterprise, began with its focus on customer support. The company’s AI can learn from internal documents, email, chat and even old support tickets to automatically resolve auto-route tickets correctly, and quickly surface the most relevant institutional knowledge.

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Large Language Models Generative AI Chatbots Auto-complete 246

AWS Machine Learning Blog

DECEMBER 11, 2024

Two open-source libraries, Ragas (a library for RAG evaluation) and Auto-Instruct, used Amazon Bedrock to power a framework that evaluates and improves upon RAG. Generating improved instructions for each question-and-answer pair using an automatic prompt engineering technique based on the Auto-Instruct Repository.

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Generative AI Chatbots Prompt Engineering Prompt Engineer 65

AWS Machine Learning Blog

FEBRUARY 3, 2025

By using a combination of transcript preprocessing, prompt engineering, and structured LLM output, we enable the user experience shown in the following screenshot, which demonstrates the conversion of LLM-generated timestamp citations into clickable buttons (shown underlined in red) that navigate to the correct portion of the source video.

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UX Design Auto-complete LLM Prompt Engineering 86