Favorite Amazon Q Business is a fully managed service that lets you build interactive chat applications using your enterprise data. These applications can generate answers based on your data or a large language model (LLM) knowledge. Your data is not used for training purposes, and the answers provided by Amazon
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Shared by AWS Machine Learning August 28, 2024
Favorite KubeCon China 2024 was a whirlwind of innovation, community and technical deep dives. As it often happens at these community events, I was blown away by the energy, enthusiasm and sheer amount of knowledge being shared. Here are three key takeaways that stood out to me: 1. The focus
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Shared by voicesofopensource August 27, 2024
Favorite At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. We envision a future where AI seamlessly integrates into our teams’ workflows, automating repetitive tasks, providing intelligent recommendations, and freeing up time for more strategic, high-value interactions. Our field
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Shared by AWS Machine Learning August 27, 2024
Favorite In today’s world, effective communication is essential for fostering inclusivity and breaking down barriers. However, for individuals who rely on visual communication methods like American Sign Language (ASL), traditional communication tools often fall short. That’s where GenASL comes in. GenASL is a generative artificial intelligence (AI)-powered solution that translates
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Shared by AWS Machine Learning August 27, 2024
Favorite Amazon Titan Text Premier, the latest addition to the Amazon Titan family of large language models (LLMs), is now generally available in Amazon Bedrock. Amazon Titan Text Premier is an advanced, high performance, and cost-effective LLM engineered to deliver superior performance for enterprise-grade text generation applications, including optimized performance
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Shared by AWS Machine Learning August 27, 2024
Favorite The proliferation of large language models (LLMs) in enterprise IT environments presents new challenges and opportunities in security, responsible artificial intelligence (AI), privacy, and prompt engineering. The risks associated with LLM use, such as biased outputs, privacy breaches, and security vulnerabilities, must be mitigated. To address these challenges, organizations
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Shared by AWS Machine Learning August 27, 2024
Favorite Week 34 summary Share your thoughts about draft v0.0.9 As we move toward the release of the first-ever Open Source AI Definition in October at All Things Open, the publication of the 0.0.9 draft brings us one step closer to realizing this goal. OSAID 0.0.9 draft definition is live!
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Shared by voicesofopensource August 26, 2024
Favorite August 2024 Members Newsletter The lively conversation about the role of data in building and modifying AI systems will continue as the OSI travels to China this month for AI_dev (August 21-23 in Hong Kong) and Open Source Congress (August 25-27 in Beijing). The OSI has been able to
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Shared by voicesofopensource August 26, 2024
Favorite Building a deployment pipeline for generative artificial intelligence (AI) applications at scale is a formidable challenge because of the complexities and unique requirements of these systems. Generative AI models are constantly evolving, with new versions and updates released frequently. This makes managing and deploying these updates across a large-scale
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Shared by AWS Machine Learning August 23, 2024
Favorite This post is co-written with Matt Marzillo from Snowflake. Today, we are excited to announce that the Snowflake Arctic Instruct model is available through Amazon SageMaker JumpStart to deploy and run inference. Snowflake Arctic is a family of enterprise-grade large language models (LLMs) built by Snowflake to cater to
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Shared by AWS Machine Learning August 23, 2024