AI

Realbotix Joins AI Partnerships Corp. Affiliate Network

Realbotix Corp. (TSX-V: XBOT) (Frankfurt Stock Exchange: 76M0.F) (OTC: XBOTF) (“Realbotix” or the “Company”), a leading creator of humanoid robots and companionship-based AI, is pleased to announce that it has accepted an invitation to join the AI Partnerships Corporation Affiliate Network, an international network of AI companies that fosters collaboration and innovation in artificial intelligence. Realbotix’s inclusion in this network reflects the Company’s commitment to collaborating with other companies in the advancement of AI technology globally and shaping the future of human-robot interaction. “This partnership enables us to connect with and collaborate with other innovators in the AI field,” said…
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Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 2 | Amazon Web Services

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 2 | Amazon Web Services

In Part 1 of this series, we explored best practices for creating accurate and reliable agents using Amazon Bedrock Agents. 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. The model is augmented with the developer-provided instruction to create an orchestration plan and then carry out the plan. The agent can use company APIs and external knowledge through Retrieval Augmented Generation (RAG). In this second part, we dive into the architectural considerations and development lifecycle…
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Brilliant words, brilliant writing: Using AWS AI chips to quickly deploy Meta LLama 3-powered applications | Amazon Web Services

Brilliant words, brilliant writing: Using AWS AI chips to quickly deploy Meta LLama 3-powered applications | Amazon Web Services

Many organizations are building generative AI applications powered by large language models (LLMs) to boost productivity and build differentiated experiences. These LLMs are large and complex and deploying them requires powerful computing resources and results in high inference costs. For businesses and researchers with limited resources, the high inference costs of generative AI models can be a barrier to enter the market, so more efficient and cost-effective solutions are needed. Most generative AI use cases involve human interaction, which requires AI accelerators that can deliver real time response rates with low latency. At the same time, the pace of innovation…
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Deploy a serverless web application to edit images using Amazon Bedrock | Amazon Web Services

Deploy a serverless web application to edit images using Amazon Bedrock | Amazon Web Services

Generative AI adoption among various industries is revolutionizing different types of applications, including image editing. Image editing is used in various sectors, such as graphic designing, marketing, and social media. Users rely on specialized tools for editing images. Building a custom solution for this task can be complex. However, by using various AWS services, you can quickly deploy a serverless solution to edit images. This approach can give your teams access to image editing foundation models (FMs) using Amazon Bedrock. Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API,…
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