AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. Stability AI, in previewing Stable Diffusion 3, noted that the company believed in safe, responsible AI practices.

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Prompt Engineer Prompt Engineering OpenAI Large Language Models 331

Unite.AI

FEBRUARY 17, 2025

Good design will prevent excess resource consumption for example, a specialized SLM can be as effective as a more generalized LLM and significantly reduce computational requirements and latencies. Model Interpretation and Explainability: Many AI models, especially deep learning models, are often seen as black boxes.

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Automation Responsible AI Generative AI AI Modeling 147

Unite.AI

JULY 4, 2024

Google Open Source LLM Gemma In this comprehensive guide, we'll explore Gemma 2 in depth, examining its architecture, key features, and practical applications. Responsible Use : Adhere to Google's Responsible AI practices and ensure your use of Gemma 2 aligns with ethical AI principles.

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Large Language Models LLM Natural Language Processing Explainability 312

AWS Machine Learning Blog

FEBRUARY 20, 2025

The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. Verisk developed an evaluation tool to enhance response quality.

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Generative AI LLM Auto-classification Categorization 115

Flipboard

JANUARY 22, 2025

For general travel inquiries, users receive instant responses powered by an LLM. Make sure the role includes the permissions for using Flows, as explained in Prerequisites for Amazon Bedrock Flows , and the permissions for using Agents, as explained in Prerequisites for creating Amazon Bedrock Agents.

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Generative AI ML Automation Explainability 171

AWS Machine Learning Blog

OCTOBER 17, 2023

One challenge that agents face is finding the precise information when answering customers’ questions, because the diversity, volume, and complexity of healthcare’s processes (such as explaining prior authorizations) can be daunting. Then we explain how the solution uses the Retrieval Augmented Generation (RAG) pattern for its implementation.

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LLM Chatbots Explainability Generative AI 125

AWS Machine Learning Blog

MARCH 6, 2025

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 via 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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LLM Generative AI ML Prompt Engineer 90

AWS Machine Learning Blog

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage. This optimization pass is delivered through an extension to PyTorch.

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LLM Generative AI AI AI 128

Marktechpost

APRIL 21, 2024

Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods. Participants will learn about the applications of Generative AI and explore tools developed by Google to create their own AI-driven applications.

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Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models are widely used for ML tasks like classification and entity extraction, as well as generative AI tasks such as translation, summarization and creating realistic content. The development and use of these models explain the enormous amount of recent AI breakthroughs. Increase trust in AI outcomes.

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Metadata Explainability Automation Explainable AI 220

AWS Machine Learning Blog

MARCH 14, 2025

Finally, metrics such as ROUGE and F1 can be fooled by shallow linguistic similarities (word overlap) between the ground truth and the LLM response, even when the actual meaning is very different. Now that weve explained the key features, we examine how these capabilities come together in a practical implementation.

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AWS Machine Learning Blog

OCTOBER 31, 2024

The Lambda function interacts with Amazon Bedrock through its runtime APIs, using either the RetrieveAndGenerate API that connects to a knowledge base, or the Converse API to chat directly with an LLM available on Amazon Bedrock. In the following sections, we explain how to deploy this architecture.

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Marktechpost

MAY 30, 2024

Introduction to Generative AI This introductory microlearning course explains Generative AI, its applications, and its differences from traditional machine learning. It also includes guidance on using Google Tools to develop your own Generative AI applications. It also introduces Google’s 7 AI principles.

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Marktechpost

AUGUST 31, 2024

This creates a significant obstacle for real-time applications that require quick response times. Researchers from Microsoft Responsible AI present a robust workflow to address the challenges of hallucination detection in LLMs.

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Large Language Models Categorization LLM Explainability 126

AWS Machine Learning Blog

JANUARY 28, 2025

In interactive AI applications, delayed responses can break the natural flow of conversation, diminish user engagement, and ultimately affect the adoption of AI-powered solutions. We begin by explaining latency in LLM applications. We begin by explaining latency in LLM applications.

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LLM Generative AI AI AI 75

Towards AI

JULY 27, 2024

We will also discuss how it differs from the most popular generative AI tool ChatGPT. Claude AI Claude AI is developed by Anthropic, an AI startup company backed by Google and Amazon, and is dedicated to developing safe and beneficial AI. Claude AI and OpenAI’s ChatGPT both are very powerful LLM models.

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ChatGPT Prompt Engineering Prompt Engineer Explainability 119

Google Research AI blog

MAY 18, 2023

We continue to focus on making AI more understandable, interpretable, fun, and usable by more people around the world. It’s a mission that is particularly timely given the emergence of generative AI and chatbots. As an example of their utility, these methods recently won a SemEval competition to identify and explain sexism.

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Flipboard

AUGUST 6, 2023

Jupyter AI, an official subproject of Project Jupyter, brings generative artificial intelligence to Jupyter notebooks. It allows users to explain and generate code, fix errors, summarize content, and even generate entire notebooks from natural language prompts. Check out the GitHub and Reference Article.

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Artificial Intelligence Artificial Intelligence Metadata Large Language Models 123

John Snow Labs

JANUARY 25, 2024

release in July, thanks to newly added support for ONNX models and the ability to accelerate and scale the calculation of text embeddings—a key step in preparing data for retrieval augmented generation (RAG) LLM solutions. Monthly downloads increased by 60% since the 5.0

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NLP LLM Generative AI Large Language Models 94

AWS Machine Learning Blog

JANUARY 31, 2025

The text from the email body and PDF attachment are combined into a single prompt for the large language model (LLM). By providing the FM with examples and other prompting techniques, we were able to significantly reduce the variance in the structure and content of the FM output, leading to explainable, predictable, and repeatable results.

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Prompt Engineering Prompt Engineer Data Scientist Large Language Models 94

AWS Machine Learning Blog

JUNE 25, 2024

However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation , manipulation of individuals, and the generation of undesirable outputs such as harmful slurs or biased content. Introduction to guardrails for LLMs The following figure shows an example of a dialogue between a user and an LLM.

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Generative AI LLM Machine Learning Chatbots 130

Towards AI

AUGUST 8, 2024

Take advantage of the current deal offered by Amazon (depending on location) to get our recent book, “Building LLMs for Production,” with 30% off right now! Featured Community post from the Discord Arwmoffat just released Manifest, a tool that lets you write a Python function and have an LLM execute it. Our must-read articles 1.

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Neural Network Metadata Explainability LLM 111

Unite.AI

OCTOBER 25, 2024

A key component is the Enterprise Workbench , an industry- and LLM-agnostic tool that eliminates AI “hallucinations” by providing a controlled environment for developing contextual solutions on platforms like Mithril and Dexter. Explainability & Transparency: The company develops localized and explainable AI systems.

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Automation Explainability Responsible AI AI Automation 147

Snorkel AI

JANUARY 26, 2024

Snorkel AI’s Jan. 25 Enterprise LLM Summit: Building GenAI with Your Data drew over a thousand engaged attendees across three and a half hours and nine sessions. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success.

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LLM Data Science Explainability Large Language Models 64

Flipboard

NOVEMBER 27, 2024

It provides a broad set of capabilities needed to build generative AI applications with security, privacy, and responsible AI. Sonnet large language model (LLM) on Amazon Bedrock. For naturalization applications, LLMs offer key advantages. If the application should be rejected, explain why 6.

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LLM Data Extraction Explainability Prompt Engineer 65

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

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Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

Mlearning.ai

JULY 8, 2023

Introduction Create ML Ops for LLM’s Build end to end development and deployment cycle. Add Responsible AI to LLM’s Add Abuse detection to LLM’s. High level process and flow LLM Ops is people, process and technology. LLM Ops flow — Architecture Architecture explained.

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Large Language Models LLM Prompt Engineering Prompt Engineer 52

AWS Machine Learning Blog

OCTOBER 2, 2024

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral 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

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. The Step Functions workflow starts.

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Automation Prompt Engineering Prompt Engineer Categorization 128

Unite.AI

AUGUST 14, 2024

Anand Kannappan is Co-Founder and CEO of Patronus AI , the industry-first automated AI evaluation and security platform to help enterprises catch LLM mistakes at scale. Previously, Anand led ML explainability and advanced experimentation efforts at Meta Reality Labs. What initially attracted you to computer science?

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LLM AI AI Large Language Models 130

ODSC - Open Data Science

OCTOBER 26, 2023

With the rapid advance of AI across industries, responsible AI has become a hot topic for decision-makers and data scientists alike. But with the advent of easy-to-access generative AI, it’s now more important than ever. There are several reasons why responsible AI is critical as the technology continues to advance.

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Generative AI Responsible AI Data Science Data Scientist 98

AWS Machine Learning Blog

JULY 31, 2024

As generative artificial intelligence (AI) applications become more prevalent, maintaining responsible AI principles becomes essential. Without proper safeguards, large language models (LLMs) can potentially generate harmful, biased, or inappropriate content, posing risks to individuals and organizations.

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LLM Generative AI Prompt Engineer Prompt Engineering 130

AWS Machine Learning Blog

FEBRUARY 6, 2025

Whether developing customer-facing generative AI applications or internal tools, these implementation patterns will help you meet your requirements for secure and responsible AI. Additionally, Amazon Bedrock provides guardrails for content filtering and sensitive information protection to support responsible AI use.

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John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems , we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions.

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Chatbots LLM Large Language Models NLP 52

John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems, we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions.

Chatbots 52

Chatbots LLM Large Language Models NLP 52

ODSC - Open Data Science

OCTOBER 16, 2024

To stay ahead, it’s crucial to understand emerging LLM trends. The upcoming ODSC West 2024 conference provides valuable insights into the key trends shaping the future of LLMs. Here are 8 emerging LLM trends to watch. The past few weeks alone have seen major announcements from OpenAI (o1), Meta (Llama 3.2), Microsoft (phi 3.5

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LLM Large Language Models Responsible AI Data Quality 40

ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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