Unite.AI

DECEMBER 1, 2023

SHAP's strength lies in its consistency and ability to provide a global perspective – it not only explains individual predictions but also gives insights into the model as a whole. Interpretability Reducing the scale of LLMs could enhance interpretability but at the cost of their advanced capabilities.

LLM 264

LLM Machine Learning Explainability Algorithm 264

AWS Machine Learning Blog

NOVEMBER 26, 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. The following screenshot shows the response. You can try out something harder as well.

LLM 105

LLM Convolutional Neural Networks Metadata Explainability 105

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.

Prompt Engineer 337

Prompt Engineer Prompt Engineering OpenAI Large Language Models 337

Unite.AI

JULY 26, 2024

Meta AI's Llama 3 is another leading LLM built to generate human-like text and understand complex linguistic patterns. Text Evaluation Vision Understanding Overview of Meta AI Llama 3: Meta AI's Llama 3 is a powerful LLM built on an optimized transformer architecture designed for efficiency and scalability.

ChatGPT 281

ChatGPT OpenAI Natural Language Processing NLP 281

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.

Automation 147

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.

Large Language Models 312

Large Language Models LLM Natural Language Processing Explainability 312

Flipboard

APRIL 1, 2025

The 2024 Gartner CIO Generative AI Survey highlights three major risks: reasoning errors from hallucinations (59% of respondents), misinformation from bad actors (48%), and privacy concerns (44%). Explainable validation results Each validation check produces detailed findings that indicate whether content is Valid, Invalid, or No Data.

Automation 165

Automation Generative AI AI AI 165

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.

LLM 114

LLM Generative AI ML Prompt Engineer 114

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.

LLM 124

LLM Chatbots Explainability Generative AI 124

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 113

Unite.AI

AUGUST 8, 2024

While single models are suitable in some scenarios, acting as co-pilots, agentic architectures open the door for LLMs to become active components of business process automation. As such, enterprises should consider leveraging LLM-based multi-agent (LLM-MA) systems to streamline complex business processes and improve ROI.

AI Modeling 162

AI Modeling LLM Automation Responsible AI 162

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.

LLM 126

LLM Generative AI AI AI 126

Flipboard

DECEMBER 3, 2024

Agent architecture The following diagram illustrates the serverless agent architecture with standard authorization and real-time interaction, and an LLM agent layer using Amazon Bedrock Agents for multi-knowledge base and backend orchestration using API or Python executors. Domain-scoped agents enable code reuse across multiple agents.

Generative AI 149

Generative AI Metadata Machine Learning Natural Language Processing 149

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.

Generative AI 97

Generative AI Responsible AI Automation LLM 97

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.

Artificial Intelligence 137

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

NOVEMBER 19, 2024

Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices. Fifth, we’ll showcase various generative AI use cases across industries. And finally, get ready for the AWS DeepRacer League as it takes it final celebratory lap.

ML 100

ML Generative AI AI AI 100

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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Artificial Intelligence Artificial Intelligence BERT Computer Vision 132

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.

Large Language Models 130

Large Language Models Categorization LLM Explainability 130

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.

Generative AI 124

Generative AI AI AI Python 124

AWS Machine Learning Blog

DECEMBER 16, 2024

Increasingly, I think generative AI inference is going to be a core building block for every application. To realize this future, organizations need more than just a chatbot or a single powerful large language model (LLM). At re:Invent, we made some exciting announcements about the future of generative AI, of course.

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Generative AI Automation AI AI 94

ODSC - Open Data Science

MARCH 20, 2025

Tuesday is also the first day of the AI Expo and Demo Hall , where you can connect with our conference partners and check out the latest developments and research from leading tech companies. At night, well have our Welcome Networking Reception to kick off the firstday.

Data Science 52

Data Science LLM NLP Machine Learning 52

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.

LLM 73

LLM Generative AI AI AI 73

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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Responsible AI ML AI AI 65

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.

Artificial Intelligence 123

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

NLP 94

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.

Prompt Engineering 91

Prompt Engineering Prompt Engineer Data Scientist Large Language Models 91

Marktechpost

NOVEMBER 23, 2023

During Data Science Conference 2023 in Belgrade on Thursday, 23 November, it was announced that Real AI won the ISCRA project. Real AI is chosen to build Europe’s first-ever Human-Centered LLM on the world’s 4th largest AI Computer Cluster ‘LEONARDO’. – Tarry Singh , CEO of Real AI B.V.

Large Language Models 126

Large Language Models LLM AI AI 126

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.

Neural Network 111

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.

Automation 147

Automation Explainability Responsible AI AI Automation 147

AWS Machine Learning Blog

FEBRUARY 25, 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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots 75

Chatbots Categorization LLM Algorithm 75

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.

LLM 64

LLM Data Science Large Language Models Explainability 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.

LLM 65

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.

Prompt Engineering 52

Prompt Engineering Prompt Engineer 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.

Large Language Models 52

Large Language Models LLM Prompt Engineering Prompt Engineer 52