Favorite As generative artificial intelligence (AI) continues to revolutionize every industry, the importance of effective prompt optimization through prompt engineering techniques has become key to efficiently balancing the quality of outputs, response time, and costs. Prompt engineering refers to the practice of crafting and optimizing inputs to the models by
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Shared by AWS Machine Learning September 6, 2024
Favorite This post was co-written with Jerry Liu from LlamaIndex. Retrieval Augmented Generation (RAG) has emerged as a powerful technique for enhancing the capabilities of large language models (LLMs). By combining the vast knowledge stored in external data sources with the generative power of LLMs, RAG enables you to tackle
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Shared by AWS Machine Learning September 6, 2024
Favorite This post is co-written by Danilo Tommasina and Andrei Voinov from Thomson Reuters. Thomson Reuters (TR) is one of the world’s most trusted information organizations for businesses and professionals. TR provides companies with the intelligence, technology, and human expertise they need to find trusted answers, enabling them to make
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Shared by AWS Machine Learning September 5, 2024
Favorite Many ecommerce applications want to provide their users with a human-like chatbot that guides them to choose the best product as a gift for their loved ones or friends. To enhance the customer experience, the chatbot need to engage in a natural, conversational manner to understand the user’s preferences
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Shared by AWS Machine Learning September 5, 2024
Favorite Generative artificial intelligence (AI) foundation models (FMs) are gaining popularity with businesses due to their versatility and potential to address a variety of use cases. The true value of FMs is realized when they are adapted for domain specific data. Managing these models across the business and model lifecycle
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Shared by AWS Machine Learning September 5, 2024
Favorite Kubernetes is a popular orchestration platform for managing containers. Its scalability and load-balancing capabilities make it ideal for handling the variable workloads typical of machine learning (ML) applications. DevOps engineers often use Kubernetes to manage and scale ML applications, but before an ML model is available, it must be
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Shared by AWS Machine Learning September 5, 2024
Favorite September 2024 Members Newsletter It’s been a busy couple of months, and things are going to stay that way as we approach All Things Open in October. Version 0.0.9 of the Open Source AI Definition has been released after collecting months of community feedback. We’re continuing our march towards a stable
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Shared by voicesofopensource September 4, 2024
Favorite The Open Source Initiative (OSI) proudly participated in the Open Source Congress 2024, held from August 25-27 in Beijing, China. This event was a gathering for key individuals in the Open Source nonprofit community, aiming to foster collaboration, innovation, and strategic development within the ecosystem. Here are some highlights
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Shared by voicesofopensource September 4, 2024
Favorite At the first Google.org Impact Summit, we’re announcing our focus areas for the coming years. View Original Source (blog.google/technology/ai/) Here.
Favorite At the first Google.org Impact Summit, we’re announcing new AI tools nonprofits can use to create change. View Original Source (blog.google/technology/ai/) Here.
Shared by AWS Machine Learning September 6, 2024
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