Unite.AI

SEPTEMBER 25, 2023

MusicLM Performance, Image source: here Stability Audio Stability AI last week introduced “ Stable Audio ” a latent diffusion model architecture conditioned on text metadata alongside audio file duration and start time.

Generative AI 296

Generative AI Deep Learning Algorithm AI 296

AWS Machine Learning Blog

MARCH 20, 2025

Gartner predicts that by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023. The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling.

Automation 104

Automation IDP Generative AI Prompt Engineering 104

AWS Machine Learning Blog

MARCH 13, 2025

This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular.

Categorization 97

Categorization Prompt Engineering Prompt Engineer LLM 97

Flipboard

MARCH 31, 2025

The enterprise AI landscape is undergoing a seismic shift as agentic systems transition from experimental tools to mission-critical business assets. In 2025, AI agents are expected to become integral to business operations, with Deloitte predicting that 25% of enterprises using generative AI will deploy AI agents, growing to 50% by 2027.

LLM 177

LLM Automation Generative AI AI Automation 177

AWS Machine Learning Blog

DECEMBER 5, 2023

Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.

Metadata 118

Metadata Auto-classification Auto-complete Content Enrichment 118

AWS Machine Learning Blog

OCTOBER 6, 2023

Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks. Generative AI developers can use frameworks like LangChain , which offers modules for integrating with LLMs and orchestration tools for task management and prompt engineering.

Generative AI 128

Generative AI LLM Natural Language Processing Metadata 128

AWS Machine Learning Blog

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. These applications are a focus point for our generative AI efforts.

Generative AI 126

Generative AI Prompt Engineering Prompt Engineer Automation 126

AWS Machine Learning Blog

JULY 3, 2024

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. We use prompt engineering to send our summarization instructions to the LLM. Mesko, B., &

Generative AI 122

Generative AI LLM Large Language Models Machine Learning 122

AWS Machine Learning Blog

DECEMBER 5, 2024

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

Responsible AI 102

Responsible AI AI Tools AI AI 102

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

Generative AI 122

Generative AI Prompt Engineering Prompt Engineer ML 122

AWS Machine Learning Blog

FEBRUARY 12, 2025

Generative AI has emerged as a transformative force, captivating industries with its potential to create, innovate, and solve complex problems. You can use metadata filtering to narrow down search results by specifying inclusion and exclusion criteria. Securing your generative AI system is another crucial aspect.

Auto-classification 81

Auto-classification Metadata Generative AI Machine Learning 81

Marktechpost

JULY 25, 2024

Introduction to Large Language Models Difficulty Level: Beginner This course covers large language models (LLMs), their use cases, and how to enhance their performance with prompt tuning. This short course also includes guidance on using Google tools to develop your own Generative AI apps.

Large Language Models 113

Large Language Models Prompt Engineering Prompt Engineer Chatbots 113

AWS Machine Learning Blog

AUGUST 26, 2024

Prospecting, opportunity progression, and customer engagement present exciting opportunities to utilize generative AI, using historical data, to drive efficiency and effectiveness. Use case overview Using generative AI, we built Account Summaries by seamlessly integrating both structured and unstructured data from diverse sources.

Generative AI 119

Generative AI LLM AI AI 119

AWS Machine Learning Blog

SEPTEMBER 6, 2024

In this post, we illustrate how Vidmob , a creative data company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to uncover meaningful insights at scale within creative data using Amazon Bedrock. Use case overview Vidmob aims to revolutionize its analytics landscape with generative AI.

Generative AI 115

Generative AI LLM Large Language Models AI 115

Marktechpost

MAY 30, 2024

Inspect Rich Documents with Gemini Multimodality and Multimodal RAG This course covers using multimodal prompts to extract information from text and visual data and generate video descriptions with Gemini. It also includes guidance on using Google Tools to develop your own Generative AI applications.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

AWS Machine Learning Blog

JANUARY 28, 2025

By investing in robust evaluation practices, companies can maximize the benefits of LLMs while maintaining responsible AI implementation and minimizing potential drawbacks. To support robust generative AI application development, its essential to keep track of models, prompt templates, and datasets used throughout the process.

LLM 95

LLM Large Language Models ML Algorithm 95

IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

Machine Learning 186

Machine Learning Metadata Automation AI 186

AWS Machine Learning Blog

OCTOBER 24, 2024

The AWS Generative AI Innovation Center (GenAIIC) is a team of AWS science and strategy experts who have deep knowledge of generative AI. They help AWS customers jumpstart their generative AI journey by building proofs of concept that use generative AI to bring business value. doc,pdf, or.txt).

Chatbots 82

Chatbots Metadata Generative AI LLM 82

Unite.AI

OCTOBER 7, 2024

Yes, they have the data, the metadata, the workflows and a vast array of services to connect into; and so long as your systems only live within Salesforce, it sounds pretty ideal. Whether that UI is rendered using generative AI or some other non-AI mechanism is left to the responding service as an implementation detail.

AI 189

AI AI Prompt Engineering Prompt Engineer 189

AWS Machine Learning Blog

JUNE 13, 2023

Organizations can maximize the value of their modern data architecture with generative AI solutions while innovating continuously. The latest offering for generative AI from AWS is Amazon Bedrock , which is a fully managed service and the easiest way to build and scale generative AI applications with foundation models.

Generative AI 84

Generative AI Metadata LLM Large Language Models 84

AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications. Create a simple web application using LangChain and Streamlit.

Metadata 114

Metadata LLM Prompt Engineering Prompt Engineer 114

AWS Machine Learning Blog

AUGUST 9, 2024

Retrieval Augmented Generation (RAG) has emerged as a leading method for using the power of large language models (LLMs) to interact with documents in natural language. The text embedding model processes the text chunks and generates embedding vectors for each text chunk. The second step is Q&A, as shown in the following diagram.

Data Ingestion 121

Data Ingestion Metadata LLM Generative AI 121

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. This trainable custom model can then be progressively improved through a feedback loop as shown above.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

AWS Machine Learning Blog

JUNE 25, 2024

With Amazon Bedrock, developers can experiment, evaluate, and deploy generative AI applications without worrying about infrastructure management. Its enterprise-grade security, privacy controls, and responsible AI features enable secure and trustworthy generative AI innovation at scale.

Automation 119

Automation Prompt Engineering Prompt Engineer Categorization 119

AWS Machine Learning Blog

MAY 7, 2024

Although much of the current excitement is around LLMs for generative AI tasks, many of the key use cases that you might want to solve have not fundamentally changed. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

Prompt Engineering 115

Prompt Engineering Prompt Engineer Large Language Models LLM 115

AWS Machine Learning Blog

MAY 30, 2024

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. The wrapper function reads the table metadata from the S3 bucket. If it finds any, it skips to Step 6.

Metadata 124

Metadata Generative AI LLM Prompt Engineering 124

AWS Machine Learning Blog

MAY 30, 2024

Additionally, VitechIQ includes metadata from the vector database (for example, document URLs) in the model’s output, providing users with source attribution and enhancing trust in the generated answers. Prompt engineering Prompt engineering is crucial for the knowledge retrieval system.

Chatbots 123

Chatbots Prompt Engineering Prompt Engineer Large Language Models 123

AWS Machine Learning Blog

AUGUST 21, 2024

This post discusses how LLMs can be accessed through Amazon Bedrock to build a generative AI solution that automatically summarizes key information, recognizes the customer sentiment, and generates actionable insights from customer reviews. Our example prompt requests the FM to generate the response in JSON format.

Generative AI 122

Generative AI Prompt Engineering Prompt Engineer Automation 122

Flipboard

DECEMBER 6, 2023

This general behavior can be optimized to a specific domain or industry by further optimizing a foundation model using additional domain-specific pre-training data or by fine-tuning using labeled data. Considering the quality of the SQL generated, we started to look at how much value the validation stage is actually adding.

Chatbots 168

Chatbots LLM Prompt Engineering Prompt Engineer 168

AWS Machine Learning Blog

OCTOBER 24, 2023

By integrating generative artificial intelligence (AI) into the process, we can further enhance IDP capabilities. Generative AI not only introduces enhanced capabilities in document processing, it also introduces a dynamic adaptability to changing data patterns.

IDP 131

IDP LLM Prompt Engineering Prompt Engineer 131

AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You can customize the model using prompt engineering, Retrieval Augmented Generation (RAG), or fine-tuning.

LLM 124

LLM ML Generative AI Machine Learning 124

AWS Machine Learning Blog

SEPTEMBER 15, 2023

Often, these LLMs require some metadata about available tools (descriptions, yaml, or JSON schema for their input parameters) in order to output tool invocations. We use prompt engineering only and Flan-UL2 model as-is without fine-tuning. You have access to the following tools.

LLM 122

LLM Prompt Engineering Prompt Engineer Large Language Models 122

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.

Auto-classification 128

Auto-classification LLM Prompt Engineering Prompt Engineer 128

Mlearning.ai

MARCH 16, 2023

Shutterstock Datasets and AI-generated Content: Contributor FAQ They present this as a responsible and ethical approach to AI-generated content but I think they tend to overestimate the role of the individual training images and underestimate the role of prompt engineering.

AI 98

AI AI AI Tools Prompt Engineering 98

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.

Large Language Models 82

Large Language Models Auto-complete ML Generative AI 82

John Snow Labs

OCTOBER 16, 2023

As the market for generative AI solutions is poised to hit $51.8 McKinsey & Company’s findings underscore 2023 as a landmark year for generative AI, hinting at the transformative wave ahead. solves this problem by extracting metadata during the data preparation process. Unstructured.IO Unstructured.IO

Large Language Models 52

Large Language Models NLP Metadata Data Scarcity 52

ODSC - Open Data Science

OCTOBER 6, 2023

Be sure to check out his talk, “ Prompt Optimization with GPT-4 and Langchain ,” there! The difference between the average person using AI and a Prompt Engineer is testing. Most people run a prompt 2–3 times and find something that works well enough.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Python Data Science 52