Category: Amazon Machine Learning

The spooky season has come and gone now. While there aren’t any Halloween-themed releases, AWS has celebrated it in big style by having a plethora of exciting releases last week! I think it’s safe to say that we have truly entered the ‘pre’ re:Invent stage as more and more interesting things are being released every […]

Unlock Anthropic’s Claude 3 Haiku model’s full potential with Amazon Bedrock’s fine-tuning for enhanced accuracy and customization.

Claude 3.5 unleashes AI’s potential: interact with computers, accelerate coding, and automate complex tasks seamlessly with Anthropic’s groundbreaking conversational AI models in Amazon Bedrock.

Agentic workflows are quickly becoming a cornerstone of AI innovation, enabling intelligent systems to autonomously handle and refine complex tasks in a way that mirrors human problem-solving. Last week, we launched Serverless Agentic Workflows with Amazon Bedrock, a new short course developed in collaboration with Dr. Andrew Ng and DeepLearning.AI. This hands-on course, taught by […]

Last Friday, I had the privilege of attending China Engineer’s Day 2024(CED 2024) in Hangzhou as the Amazon Web Services (AWS) speaker. The event was organized by the China Computer Federation (CCF), one of the most influential professional developer communities in China. At CED 2024, I spoke about how AI development tools can improve developer […]

Every week, there’s a new Amazon Web Services (AWS) community event where you can network, learn something new, and immerse yourself in the community. When you’re in a community, everyone grows together, and no one is left behind. Last week was no exception. I can highlight the Dach AWS Community Day where Viktoria Semaan closed […]

Pushing the boundaries of generative AI, Meta unveils Llama 3.2, a groundbreaking language model family featuring enhanced capabilities, broader applicability, and multimodal image support, now available in Amazon Bedrock.

AI21’s Jamba 1.5 models enable high-performance long-context language processing up to 256K tokens, with JSON output support and multilingual capabilities across 9 languages.