IBM Journey to AI blog

FEBRUARY 13, 2024

Autoregressive models or large language models (LLMs) are used for text and language. To have the greatest impact, generative design must be integrated throughout the product development cycle, from the initial concept to manufacturing and procurement. Existing content can be reimagined and edited using AI tools.

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AWS Machine Learning Blog

AUGUST 16, 2023

Fast forward to 2023, and Thomson Reuters continues to define the future of professionals through rapid innovation, creative solutions, and powerful technology. Diving deeper, Open Arena is a web-based playground that allows users to experiment with a growing set of tools enabled with LLMs.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

Chatbots also offer valuable data-driven insights into customer behavior while scaling effortlessly as the user base grows; therefore, they present a cost-effective solution for engaging customers. Chatbots use the advanced natural language capabilities of large language models (LLMs) to respond to customer questions.

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AWS Machine Learning Blog

MARCH 15, 2024

Although FL is a step towards achieving better data privacy and security, it’s not a guaranteed solution. Healthcare organizations must navigate strict compliance regulations, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, while implementing FL solutions.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Talk with AWS experts in 14 different industries and explore industry-specific generative AI use cases, including demos from advertising and marketing, aerospace and satellite, manufacturing, and more. These 60-minute sessions focus on the actual code that goes into building a solution. Bring your laptop and be ready to learn!

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AWS Machine Learning Blog

APRIL 22, 2024

It provides examples of use cases and best practices for using generative AI’s potential to accelerate sustainability and ESG initiatives, as well as insights into the main operational challenges of generative AI for sustainability. Invest in acquiring diverse and high-quality datasets to enrich and accelerate your ESG initiatives.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Large language models (LLMs) are a class of foundational models (FM) that consist of layers of neural networks that have been trained on these massive amounts of unlabeled data. Large language models (LLMs) have taken the field of AI by storm. What are large language models?

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AWS Machine Learning Blog

JANUARY 25, 2023

Solution overview The following images show examples of upscaling performed by the model. For inference, we use the ml.p3.2xlarge instance type because it provides the GPU acceleration needed for low-inference latency at a low price point. Try out the solution on your own and send us your comments.

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phData

JUNE 7, 2023

Whether you’re a seasoned professional or a curious beginner, this blog serves as a guide to kickstart the integration of AI into your enterprise. Large Language Models (LLMs) Timeline Even LLMs like ChatGPT, creating all of the buzz in the market today, are built on the shoulders of giants.

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AWS Machine Learning Blog

FEBRUARY 20, 2023

To accelerate the time to inference, JumpStart provides a sample notebook that shows how to run inference on the newly created endpoint. Instance types Fine-tuning Stable Diffusion models require accelerated computation provided by GPU-supported instances. Try out the solution on your own and send us your comments.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Combined with large language models (LLM) and Contrastive Language-Image Pre-Training (CLIP) trained with a large quantity of multimodality data, visual language models (VLMs) are particularly adept at tasks like image captioning, object detection and segmentation, and visual question answering.

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