IBM Journey to AI blog

OCTOBER 9, 2024

We are now at a crucial stage in our evolution with enterprise generative AI. While consumer generative AI has captured the imagination of millions, executives are developing the practices that can deliver an effective and responsible strategy for enterprise generative AI.

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Unite.AI

SEPTEMBER 7, 2023

We are seeing a progression of Generative AI applications powered by large language models (LLM) from prompts to retrieval augmented generation (RAG) to agents. Caveats and need for Responsible AI Now what if we have a tool that invokes transactions on stock trading using a pre-authorized API.

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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. As LLMs become integral to AI applications, ethical considerations take center stage.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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AssemblyAI

MAY 23, 2023

With these complex algorithms often labeled as "giant black boxes" in media, there's a growing need for accurate and easy-to-understand resources, especially for Product Managers wondering how to incorporate AI into their product roadmap. Capabilities and Prompting Scaling language models leads to unexpected results.

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John Snow Labs

SEPTEMBER 26, 2024

There is overwhelming evidence from academic research and industry benchmarks that domain-specific and task-specific large language models outperform general-purpose LLMs across multiple dimensions: Accuracy, veracity, human preference, and cost.

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Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset.

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ODSC - Open Data Science

NOVEMBER 30, 2023

Feature Store Architecture, the Year of Large Language Models, and the Top Virtual ODSC West 2023 Sessions to Watch Feature Store Architecture and How to Build One Learn about the Feature Store Architecture and dive deep into advanced concepts and best practices for building a feature store.

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AWS Machine Learning Blog

DECEMBER 18, 2023

Artificial intelligence (AI) is one of the most transformational technologies of our generation and provides opportunities to be a force for good and drive economic growth. It establishes a framework for organizations to systematically address and control the risks related to the development and deployment of AI.

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ODSC - Open Data Science

JULY 3, 2023

We’re hearing a lot about large language models, or LLMs recently in the news. This allows them to generate text that is often indistinguishable from human-written text, such as ChatGPT. PaLM 2 also demonstrates robust reasoning capabilities and stable performance on a suite of responsible AI evaluations.

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AWS Machine Learning Blog

JUNE 18, 2024

Traditional neural network models like RNNs and LSTMs and more modern transformer-based models like BERT for NER require costly fine-tuning on labeled data for every custom entity type. By using the model’s broad linguistic understanding, you can perform NER on the fly for any specified entity type.

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Unite.AI

JANUARY 1, 2024

Today, Generative AI is wielding transformative power across various aspects of society. As per eMarketer , Generative AI shows early adoption with a projected 100 million or more users in the USA alone within its first four years. Let’s discuss its positive social impact: 1. just a simple click away.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

The rapid growth of generative AI brings promising new innovation, and at the same time raises new challenges. These challenges include some that were common before generative AI, such as bias and explainability, and new ones unique to foundation models (FMs), including hallucination and toxicity.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

The risks associated with generative AI have been well-publicized. Research shows that not only do risks for bias and toxicity transfer from pre-trained foundation models (FM) to task-specific generative AI services, but that tuning an FM for specific tasks, on incremental datasets, introduces new and possibly greater risks.

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AWS Machine Learning Blog

JULY 29, 2024

In this post, we show how native integrations between Salesforce and Amazon Web Services (AWS) enable you to Bring Your Own Large Language Models (BYO LLMs) from your AWS account to power generative artificial intelligence (AI) applications in Salesforce.

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AWS Machine Learning Blog

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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John Snow Labs

SEPTEMBER 19, 2024

The post John Snow Labs Awarded Phase I SBIR Contract for the Development of Medical Large Language Models for Infectious and Immune-Mediated Diseases appeared first on John Snow Labs.

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Flipboard

NOVEMBER 27, 2024

In this post, we show you how to integrate the popular Slack messaging service with AWS generative AI services to build a natural language assistant where business users can ask questions of an unstructured dataset. Barry has helped banking, manufacturing, logistics, and retail organizations realize their business goals.

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Marktechpost

JANUARY 17, 2024

Artificial intelligence (AI) systems are expanding and advancing at a significant pace. The two main categories into which AI systems have been divided are Predictive AI and Generative AI. While Generative AI creates original content, Predictive AI concentrates on making predictions using data.

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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. The reason for this is pretty easy to understand.

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ODSC - Open Data Science

AUGUST 8, 2024

The new Automated Responsible AI Testing Capabilities in the Generative AI Lab empower non-technical domain experts to define, run, and share test suites for AI model bias, fairness, robustness, and accuracy. There has long been a gap between how AI models should be tested and how they often are.

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Marktechpost

NOVEMBER 16, 2024

In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Learning generative AI is crucial for staying competitive and leveraging the technology’s potential to innovate and improve efficiency.

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NVIDIA

NOVEMBER 27, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users. Generative AI has transformed the way people bring ideas to life.

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Topbots

JULY 29, 2024

Generative AI is a rapidly evolving field with a plethora of fascinating applications, from creating realistic images and videos to generating human-like text and beyond. As the technology advances, the demand for skilled professionals who can harness the power of generative AI is growing exponentially.

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AWS Machine Learning Blog

APRIL 22, 2024

This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A roadmap to generative AI for sustainability In the sections that follow, we provide a roadmap for integrating generative AI into sustainability initiatives 1.

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AWS Machine Learning Blog

OCTOBER 21, 2024

Amazon Bedrock Agents help you accelerate generative AI application development by orchestrating multistep tasks. Agents use the reasoning capability of foundation models (FMs) to create a plan that decomposes the problem into multiple steps. Building agents that run tasks requires function definitions and Lambda functions.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Generative AI workloads are no different.

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AWS Machine Learning Blog

NOVEMBER 22, 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.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Agentic workflows are a fresh new perspective in building dynamic and complex business use- case based workflows with the help of large language models (LLM) as their reasoning engine or brain. Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multistep tasks.

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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.

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IBM Journey to AI blog

OCTOBER 30, 2024

Large language models (LLMs) are becoming an integral part of a risk and compliance program, and they require little to no training. These components are built on top of IBM’s leading AI technology, and they can be deployed on any cloud and on prem. Within the IBM watsonx.ai

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AI News

FEBRUARY 2, 2024

However, Baroness Stowell of the House of Lords has cautioned that the UK risks “missing out on the AI goldrush” if it does not act quickly. A report from the Lords’ Communications and Digital Committee honed in on large language models and tools like ChatGPT.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

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AWS Machine Learning Blog

OCTOBER 15, 2024

Now, with the advent of large language models (LLMs), you can use generative AI -powered virtual assistants to provide real-time analysis of speech, identification of areas for improvement, and suggestions for enhancing speech delivery. Prompt chaining is performed with Amazon Bedrock for these prompts.

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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. In this blog post, we review recent PAIR work that is changing the way we engage with AI.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

Members are forced to learn and adapt to the system’s structure and terminology, rather than the system being designed to understand their natural language questions and provide relevant information seamlessly.

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