Towards AI

JANUARY 21, 2025

For the past two years, ChatGPT and Large Language Models (LLMs) in general have been the big thing in artificial intelligence. Many articles about how-to-use, prompt engineering and the logic behind have been published. Generate new Tokens Part 1: Concept of Transformers 1.1 Introduction to Transformers1.2 Tokenization1.3

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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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Marktechpost

MAY 10, 2024

Generative AI (GenAI) tools have come a long way. Believe it or not, the first generative AI tools were introduced in the 1960s in a Chatbot. In 2024, we can create anything imaginable using generative AI tools like ChatGPT, DALL-E, and others. However, there is a problem.

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Unite.AI

SEPTEMBER 25, 2023

Initially, the attempts were simple and intuitive, with basic algorithms creating monotonous tunes. However, as technology advanced, so did the complexity and capabilities of AI music generators, paving the way for deep learning and Natural Language Processing (NLP) to play pivotal roles in this tech.

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Unite.AI

AUGUST 8, 2023

That is Generative AI. Generative models have blurred the line between humans and machines. With the advent of models like GPT-4, which employs transformer modules, we have stepped closer to natural and context-rich language generation. billion R&D budget to generative AI, as indicated by CEO Tim Cook.

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AWS Machine Learning Blog

JANUARY 22, 2025

These services use advanced machine learning (ML) algorithms and computer vision techniques to perform functions like object detection and tracking, activity recognition, and text and audio recognition. The key to the capability of the solution is the prompts we have engineered to instruct Anthropics Claude what to do.

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IBM Journey to AI blog

OCTOBER 25, 2023

Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. From our perspective, the debate over architecture is over.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it. These enhancements have been guided by IBM’s fundamental strategic considerations that AI should be open, trusted, targeted and empowering.

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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

DECEMBER 11, 2024

In this post, we illustrate how EBSCOlearning partnered with AWS Generative AI Innovation Center (GenAIIC) to use the power of generative AI in revolutionizing their learning assessment process. Visit Generative AI Innovation Center to learn more about our program. Sonnet model in Amazon Bedrock.

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ODSC - Open Data Science

SEPTEMBER 19, 2023

Prompt engineers are responsible for developing and maintaining the code that powers large language models or LLMs for short. But to make this a reality, prompt engineers are needed to help guide large language models to where they need to be. But what exactly is a prompt engineer ?

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ODSC - Open Data Science

AUGUST 29, 2023

With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must. So we have to ask, what kind of job now and in the future will use prompt engineering as part of its core skill set?

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AI Weekly

APRIL 25, 2024

Powered by rws.com In the News 80% of AI decision makers are worried about data privacy and security Organisations are hitting stumbling blocks in four key areas of AI implementation: Increasing trust, Integrating GenAI, Talent and skills, Predicting costs. Planning a GenAI or LLM project?

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AWS Machine Learning Blog

AUGUST 6, 2024

I explored how Bedrock enables customers to build a secure, compliant foundation for generative AI applications. Amazon Bedrock equips you with a powerful and comprehensive toolset to transform your generative AI from a one-size-fits-all solution into one that is finely tailored to your unique needs. Learn more here.

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AWS Machine Learning Blog

JANUARY 30, 2025

The use of unsupervised learning methods on semi-structured data along with generative AI has been transformative in unlocking hidden insights. AetionAI is a set of generative AI capabilities embedded across the core environment and applications. Smart Subgroups Interpreter is an AetionAI feature in Discover.

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AWS Machine Learning Blog

OCTOBER 23, 2024

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. This innovative platform empowers employees, regardless of their coding skills, to create generative AI processes and applications through a low-code visual designer.

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AWS Machine Learning Blog

MARCH 21, 2025

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices. samples/2003.10304/page_2.png"

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Unite.AI

DECEMBER 27, 2023

Generative AI is an evolving field that has experienced significant growth and progress in 2023. By utilizing machine learning algorithms , it produces new content, including images, text, and audio, that resembles existing data. This availability of diverse Gen AI tools reveals new possibilities for innovation and growth.

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AssemblyAI

MARCH 18, 2024

As businesses integrate this generative AI technology, they also unlock opportunities to enhance operations, improve the customer journey, and drive innovative product development.    In this article, you’ll learn more about building with LLMs and the top business use cases for Generative AI tools and applications. 

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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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AWS Machine Learning Blog

NOVEMBER 14, 2024

This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure. With the significant developments in the field of generative AI , intelligent applications powered by foundation models (FMs) can help users map out an itinerary through an intuitive natural conversation interface.

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Marktechpost

APRIL 28, 2024

The course covers how AI is used in real-world applications like recommender systems, self-driving cars, etc., and also allows the students to build an understanding of machine learning algorithms, including supervised, unsupervised, reinforcement, etc. It also covers the potential opportunities and risks that generative AI poses.

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AWS Machine Learning Blog

JANUARY 22, 2025

Customizing an FM that is specialized on a specific task is often done using one of the following approaches: Prompt engineering Add instructions in the context/input window of the model to help it complete the task successfully. For our specific task, weve found prompt engineering sufficient to achieve the results we needed.

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AWS Machine Learning Blog

OCTOBER 6, 2023

Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks. Generative AI developers can use frameworks like LangChain , which offers modules for integrating with LLMs and orchestration tools for task management and prompt engineering.

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AWS Machine Learning Blog

JANUARY 28, 2025

By investing in robust evaluation practices, companies can maximize the benefits of LLMs while maintaining responsible AI implementation and minimizing potential drawbacks. To support robust generative AI application development, its essential to keep track of models, prompt templates, and datasets used throughout the process.

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data Science GraphReduce: Using Graphs for Feature Engineering Abstractions This tutorial demonstrates an example feature engineering process on an e-commerce schema and how GraphReduce deals with the complexity of feature engineering on the relational schema.

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AWS Machine Learning Blog

DECEMBER 5, 2024

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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AWS Machine Learning Blog

MARCH 27, 2025

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. Lets look at how generative AI can help solve this problem. Sonnet prediction accuracy through prompt engineering.

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AWS Machine Learning Blog

AUGUST 26, 2024

The rise of foundation models (FMs), and the fascinating world of generative AI that we live in, is incredibly exciting and opens doors to imagine and build what wasn’t previously possible. Users can input audio, video, or text into GenASL, which generates an ASL avatar video that interprets the provided data.

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Unite.AI

SEPTEMBER 4, 2023

Developed by Meta with its partnership with Microsoft, this open-source large language model aims to redefine the realms of generative AI and natural language understanding. One that stresses an open-source approach as the backbone of AI development, particularly in the generative AI space.

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ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

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IBM Journey to AI blog

JUNE 14, 2023

Hear expert insights and technical experiences during IBM watsonx Day Solving the risks of massive datasets and re-establishing trust for generative AI Some foundation models for natural language processing (NLP), for instance, are pre-trained on massive amounts of data from the internet.

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Mlearning.ai

JANUARY 17, 2024

Each section of this story comprises a discussion of the topic plus a curated list of resources, sometimes containing sites with more lists of resources: 20+: What is Generative AI? 95x: Generative AI history 600+: Key Technological Concepts 2,350+: Models & Mediums — Text, Image, Video, Sound, Code, etc.

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AWS Machine Learning Blog

OCTOBER 6, 2023

Moreover, auto-generated tags or attributes can substantially improve product recommendation algorithms. In generative AI, a prompt refers to the input provided to a language model or other generative model to instruct it on what type of content or response is desired.

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NVIDIA

DECEMBER 5, 2024

From boardroom to break room, generative AI took this year by storm, stirring discussion across industries about how to best harness the technology to enhance innovation and creativity, improve customer service, transform product development and even boost communication.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

Curated judge models : Amazon Bedrock provides pre-selected, high-quality evaluation models with optimized prompt engineering for accurate assessments. This model will be used as a judge to evaluate the response of a prompt or model from your generative AI application.

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ODSC - Open Data Science

SEPTEMBER 19, 2024

The Rise of Deepfakes and Automated Prompt Engineering: Navigating the Future of AI In this podcast recap with Dr. Julie Wall of the University of West London, we discuss two big topics in generative AI: deepfakes and automated prompted engineering. How can big data analytics help?

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