AWS Machine Learning Blog

JANUARY 29, 2025

Centralized model In a centralized operating model, all generative AI activities go through a central generative artificial intelligence and machine learning (AI/ML) team that provisions and manages end-to-end AI workflows, models, and data across the enterprise.

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AWS Machine Learning Blog

OCTOBER 23, 2024

It also offers a powerful solution for organizations seeking to enhance their generative AI–powered applications. This feature simplifies the integration of domain-specific knowledge into conversational AI through native compatibility with Amazon Lex and Amazon Connect. Delete the Amazon Connect instance.

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ODSC - Open Data Science

FEBRUARY 17, 2023

ChatGPT: The Google Killer, Distributed Training with PyTorch and Azure ML, and Many Models Batch Training Distributed Training with PyTorch and Azure ML Continue reading to learn the simplest way to do distributed training with PyTorch and Azure ML.

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Marktechpost

NOVEMBER 3, 2023

The broader Watsonx line includes tools like Watsonx Orchestrate for team and task automation and Watsonx Assistant for enterprise search and conversational AI. IBM’s commitment to AI-driven solutions extends to other areas as well, with products like watsonx.ai for AI model development, watsonx.

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Marktechpost

AUGUST 3, 2024

Whisper-Medusa’s enhanced speed and efficiency make it a valuable asset when quick and accurate speech-to-text conversion is crucial. This is especially relevant in conversational AI applications, where real-time responses can greatly enhance user experience and productivity. Check out the Model and GitHub.

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Marktechpost

DECEMBER 12, 2023

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. In comparison to the more powerful LLMs, this severely restricts their potential.

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Marktechpost

AUGUST 1, 2024

This process ensures developers can quickly deploy the model for text generation, content creation, and conversational AI applications. The introduction of ShieldGemma underscores Google’s commitment to responsible AI deployment, addressing concerns related to the ethical use of AI technology.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

In the rapidly evolving world of AI and machine learning (ML), foundation models (FMs) have shown tremendous potential for driving innovation and unlocking new use cases. When the user makes a request using the AI Gateway, it’s routed to Amazon Cognito to determine access for the client.

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AWS Machine Learning Blog

JUNE 25, 2024

Guardrails for Amazon Bedrock Guardrails for Amazon Bedrock enables the implementation of guardrails across LLMs based on use cases and responsible AI policies. NVIDIA NeMo with Amazon Bedrock NVIDIA’s NeMo is an open-source toolkit that provides programmable guardrails for conversational AI systems powered by LLMs.

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AWS Machine Learning Blog

JULY 31, 2024

As generative artificial intelligence (AI) applications become more prevalent, maintaining responsible AI principles becomes essential. This streaming output capability is particularly useful in scenarios where real-time interaction or continuous generation is required, such as conversational AI assistants or live captioning.

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AWS Machine Learning Blog

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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ODSC - Open Data Science

MARCH 28, 2023

With considerations that include user experience, business impact, technical design, and risk management, it’s easy to get lost in the many priorities of building AI. And without adopting the right mindset and approach to responsible AI design, your organization risks a number of unintended consequences.

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Snorkel AI

JUNE 7, 2023

A Practical Guide to Data-Centric AI – A Conversational AI Use Case Daniel Lieb, senior director of model risk management at Ally Financia l, and Samira Shaikh, director of data science at the same company, showed how their organization is using data-centric approaches, generative AI and LLMs to set up a conversational AI for Ally Auto customers.

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Snorkel AI

JUNE 7, 2023

A Practical Guide to Data-Centric AI – A Conversational AI Use Case Daniel Lieb, senior director of model risk management at Ally Financia l, and Samira Shaikh, director of data science at the same company, showed how their organization is using data-centric approaches, generative AI and LLMs to set up a conversational AI for Ally Auto customers.

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Topbots

JULY 29, 2024

Prompt Tuning: An overview of prompt tuning and its significance in optimizing AI outputs. Google’s Gen AI Development Tools: Insight into the tools provided by Google for developing generative AI applications. Content: Introduction to AI/ML: Basic overview of AI/ML concepts.

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AWS Machine Learning Blog

SEPTEMBER 6, 2024

Generative artificial intelligence (AI) applications powered by large language models (LLMs) are rapidly gaining traction for question answering use cases. From internal knowledge bases for customer support to external conversational AI assistants, these applications use LLMs to provide human-like responses to natural language queries.

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Dlabs.ai

SEPTEMBER 15, 2022

AI Events To Attend In November 5. iMerit ML DataOps Summit Date: November 8th Place: Online Ticket: Free The following AI event is a collab between TechCrunch and iMerit. It brings together specialists from AI and ML, covering the latest trends in deploying machine learning data operations.

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AWS Machine Learning Blog

OCTOBER 8, 2024

Sonnet on Amazon Bedrock, we build a digital assistant that automates document processing, identity verifications, and engages customers through conversational interactions. Prompt injection attacks , where malicious inputs are crafted to manipulate the system’s behavior, are a serious concern in conversational AI systems.

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Marktechpost

JULY 15, 2023

Conversational AI refers to technology like a virtual agent or a chatbot that use large amounts of data and natural language processing to mimic human interactions and recognize speech and text. In recent years, the landscape of conversational AI has evolved drastically, especially with the launch of ChatGPT.

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Marktechpost

SEPTEMBER 18, 2024

As an instruct-tuned model, it has been fine-tuned to follow instructions and generate accurate, context-aware responses. This makes it well-suited for conversational AI, content creation, code generation, and other tasks. Image Source Another critical advantage is the model’s compact size.

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Flipboard

NOVEMBER 26, 2024

His work has been focused on conversational AI, task-oriented dialogue systems, and LLM-based agents. Bharathi Srinivasan is a Generative AI Data Scientist at AWS WWSO where she works building solutions for Responsible AI challenges.

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AWS Machine Learning Blog

OCTOBER 21, 2024

Whether you are just starting to explore the world of conversational AI or looking to optimize your existing agent deployments, this comprehensive guide can provide valuable long-term insights and practical tips to help you achieve your goals. Amazon Bedrock features help you develop your responsible AI practices in a scalable manner.

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Snorkel AI

MAY 31, 2023

I’m very excited to be here and talk a bit about the ML Commons Association and what we are doing to try and build the future of public datasets. Briefly, what is the ML Commons Association? In order to do this, ML Commons works through three main pillars of contribution. ML is evolving. So, why data?

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Snorkel AI

MAY 31, 2023

I’m very excited to be here and talk a bit about the ML Commons Association and what we are doing to try and build the future of public datasets. Briefly, what is the ML Commons Association? In order to do this, ML Commons works through three main pillars of contribution. ML is evolving. So, why data?

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AWS Machine Learning Blog

OCTOBER 11, 2024

His work has been focused on conversational AI, task-oriented dialogue systems, and LLM-based agents. About the Author Shayan Ray is an Applied Scientist at Amazon Web Services. His area of research is all things natural language (like NLP, NLU, and NLG).

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AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing 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.

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AWS Machine Learning Blog

NOVEMBER 22, 2024

The model cards for each LLM also serve as a good starting point to understand at which ML tasks each LLM excels. His work has been focused on conversational AI, task-oriented dialogue systems and LLM-based agents. About the Author Shayan Ray is an Applied Scientist at Amazon Web Services.

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