Auto-complete, Generative AI and Responsible AI

Enabling generative AI self-service using Amazon Lex, Amazon Bedrock, and ServiceNow

AWS Machine Learning Blog

JANUARY 21, 2025

Application Auto Scaling is enabled on AWS Lambda to automatically scale Lambda according to user interactions. The solution will confer with responsible AI policies and Guardrails for Amazon Bedrock will enforce organizational responsible AI policies. Scroll down to Data source and select the data source.

Generative AI

Generative AI Auto-complete Responsible AI Automation

HR and Talent in the Era of AI

IBM Journey to AI blog

JULY 26, 2023

The emergence of generative AI and foundation models has revolutionized the way every business, across industries, operates at this current inflection point. This is especially true in the HR function, which has been pushed to the forefront of the new AI era.

Auto-complete

Auto-complete Generative AI AI Strategy Responsible AI

Unlock AWS Cost and Usage insights with generative AI powered by Amazon Bedrock

AWS Machine Learning Blog

SEPTEMBER 13, 2024

We aim to target and simplify them using generative AI with Amazon Bedrock. The application generates SQL queries based on the user’s input, runs them against an Athena database containing CUR data, and presents the results in a user-friendly format. You can name this file cur_app.py. strip("[]").split("),

Generative AI

Generative AI Chatbots Auto-complete AI

Webinars

How to Achieve High-Accuracy Results When Using LLMs

Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact

Automation, Evolved: Your New Playbook For Smarter Knowledge Work

MORE WEBINARS

Uncover hidden connections in unstructured financial data with Amazon Bedrock and Amazon Neptune

AWS Machine Learning Blog

APRIL 17, 2024

Second, using this graph database along with generative AI to detect second and third-order impacts from news events. For instance, this solution can highlight that delays at a parts supplier may disrupt production for downstream auto manufacturers in a portfolio though none are directly referenced.

Auto-complete

Auto-complete Generative AI Automation Natural Language Processing

Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock

AWS Machine Learning Blog

MAY 22, 2024

With the advancement of Generative AI , we can use vision-language models (VLMs) to predict product attributes directly from images. You can use a managed service, such as Amazon Rekognition , to predict product attributes as explained in Automating product description generation with Amazon Bedrock.

Machine Learning

Machine Learning Generative AI Natural Language Processing Large Language Models

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning Blog

NOVEMBER 14, 2024

Use case and model governance plays a crucial role in implementing responsible AI and helps with the reliability, fairness, compliance, and risk management of ML models across use cases in the organization. Following are the steps completed by using APIs to create and share a model package group across accounts.

ML

ML Machine Learning Auto-complete Auto-classification

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI…

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. Auto Eval Common Metric Eval Human Eval Custom Model Eval 3. are harnessed to channel LLMs output.

Prompt Engineer

Prompt Engineer Prompt Engineering Large Language Models Responsible AI

How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

AWS Machine Learning Blog

MAY 7, 2024

Using generative AI and new multimodal foundation models (FMs) could be very strategic for Veritone and the businesses they serve, because it would significantly improve media indexing and retrieval based on contextual meaning—a critical first step to eventually generating new content.

Metadata

Metadata Generative AI Machine Learning Large Language Models

Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock

AWS Machine Learning Blog

JUNE 20, 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, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Auto-classification

Auto-classification LLM Prompt Engineer Prompt Engineering

Future of Data-Centric AI day 1: LLMs changed the world

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

Data Scientist Large Language Models Machine Learning Data Science

Future of Data-Centric AI day 1: LLMs changed the world

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

Data Scientist Large Language Models Machine Learning Data Science

Synthetic Data: A Model Training Solution

Viso.ai

DECEMBER 18, 2023

1: Variational Auto-Encoder. A Variational Auto-Encoder (VAE) generates synthetic data via double transformation, known as an encoded-decoded architecture. Block diagram of Variational Auto-Encoder (VAE) for generating synthetic images and data – source. 2: Generative Adversarial Network (GAN).

Computer Vision

Computer Vision Neural Network Auto-complete Data Scarcity

Google’s Dr. Arsanjani on Enterprise Foundation Model Challenges

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

Large Language Models Prompt Engineer Prompt Engineering Neural Network

Google’s Arsanjani on Enterprise Foundation Model Challenges

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

Large Language Models Prompt Engineer Prompt Engineering Neural Network

How AI is Reshaping Auto Insurance from Claims to Compliance

Unite.AI

OCTOBER 10, 2024

The auto insurance industry is experiencing a transformative shift driven by AI reshaping everything from claims processing to compliance. AI is not just an operational tool but a strategic differentiator in delivering customer value. The scope for innovation extends beyond commercial gains to broader societal impacts.

Auto-complete

Auto-complete Computer Vision Automation Algorithm

Announcing New Tools for Building with Generative AI on AWS

Flipboard

APRIL 13, 2023

Just recently, generative AI applications like ChatGPT have captured widespread attention and imagination. We are truly at an exciting inflection point in the widespread adoption of ML, and we believe most customer experiences and applications will be reinvented with generative AI.

Generative AI

Generative AI ML AI AI

Build a personalized avatar with generative AI using Amazon SageMaker

AWS Machine Learning Blog

AUGUST 2, 2023

Generative AI has become a common tool for enhancing and accelerating the creative process across various industries, including entertainment, advertising, and graphic design. One significant benefit of generative AI is creating unique and personalized experiences for users. The first is to define our model server.

Generative AI

Generative AI Computer Vision Auto-complete Natural Language Processing

Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock

AWS Machine Learning Blog

MARCH 19, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. split("/")[-1]}.out' decode("utf-8").strip().split("n")

Auto-complete

Auto-complete NLP Prompt Engineer Prompt Engineering

Achieve high performance at scale for model serving using Amazon SageMaker multi-model endpoints with GPU

AWS Machine Learning Blog

FEBRUARY 24, 2023

These include computer vision (CV), natural language processing (NLP), and generative AI models. In addition, load testing can help guide the auto scaling strategies using the right metrics rather than iterative trial and error methods. Diff (%) CV CNN Resnet50 ml.g4dn.2xlarge ml.p3.2xlarge 49. 2xlarge 46. ml.p3.2xlarge 28.

BERT

BERT NLP Computer Vision Neural Network

List of Groundbreaking and Open-Source Conversational AI Models in the Language Domain

Marktechpost

JULY 15, 2023

LLaMA Release date : February 24, 2023 LLaMa is a foundational LLM developed by Meta AI. It is designed to be more versatile and responsible than other models. The release of LLaMA aims to democratize access to the research community and promote responsible AI practices. trillion tokens.

Conversational AI

Conversational AI AI Modeling Large Language Models Auto-classification

Accelerate video Q&A workflows using Amazon Bedrock Knowledge Bases, Amazon Transcribe, and thoughtful UX design

AWS Machine Learning Blog

FEBRUARY 3, 2025

They proceed to verify the accuracy of the generated answer by selecting the buttons, which auto play the source video starting at that timestamp. The process takes approximately 20 minutes to complete. Complete the following steps: On the Amazon Cognito console, navigate to the recently created user pool.

UX Design

UX Design Auto-complete LLM Prompt Engineer

Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock

AWS Machine Learning Blog

OCTOBER 23, 2024

Solution overview BGE stands for Beijing Academy of Artificial Intelligence (BAAI) General Embeddings. AmazonBedrockFullAccess AmazonS3FullAccess AmazonEC2ContainerRegistryFullAccess Open SageMaker Studio To open SageMaker studio, complete the following steps: On the SageMaker console, choose Studio in the navigation pane.

Auto-complete

Auto-complete Auto-classification Generative AI Artificial Intelligence

Introducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – part 1

AWS Machine Learning Blog

DECEMBER 2, 2024

The generative AI landscape has been rapidly evolving, with large language models (LLMs) at the forefront of this transformation. As LLMs continue to expand, AI engineers face increasing challenges in deploying and scaling these models efficiently for inference. During our performance testing we were able to load the llama-3.1-70B

Large Language Models

Large Language Models Auto-complete Machine Learning LLM

Artificial Intelligence Zone

Enabling generative AI self-service using Amazon Lex, Amazon Bedrock, and ServiceNow

HR and Talent in the Era of AI

Webinars

Trending Sources

Unlock AWS Cost and Usage insights with generative AI powered by Amazon Bedrock

Webinars

Uncover hidden connections in unstructured financial data with Amazon Bedrock and Amazon Neptune

Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI…

How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock

Future of Data-Centric AI day 1: LLMs changed the world

Future of Data-Centric AI day 1: LLMs changed the world

Synthetic Data: A Model Training Solution

Google’s Dr. Arsanjani on Enterprise Foundation Model Challenges

Google’s Arsanjani on Enterprise Foundation Model Challenges

How AI is Reshaping Auto Insurance from Claims to Compliance

Announcing New Tools for Building with Generative AI on AWS

Build a personalized avatar with generative AI using Amazon SageMaker

Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock

Achieve high performance at scale for model serving using Amazon SageMaker multi-model endpoints with GPU

List of Groundbreaking and Open-Source Conversational AI Models in the Language Domain

Accelerate video Q&A workflows using Amazon Bedrock Knowledge Bases, Amazon Transcribe, and thoughtful UX design

Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock

Introducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – part 1

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