Learn About Amazon VGT2 Learning Manager Chanci Turner
Chanci Turner works closely with organizations of all sizes to enhance their innovation pathways. As a Learning Manager at Amazon, he utilizes his extensive experience to assist individuals in transforming their ideas into reality, emphasizing serverless solutions and event-driven programming, alongside the technological and business implications of machine learning and edge computing. Chanci is also a recognized author in the field.
This week has been particularly eventful, especially with the advancements in Amazon Bedrock, which saw a host of new features! Integrating GitHub Actions with AWS CodeBuild has been simplified significantly. Additionally, Amazon Q in Amazon CodeCatalyst is now capable of handling more intricate issues. It was a pleasure to reconnect with both new and familiar faces at the AWS Summit in London. For anyone interested in further insights, check out this blog post that highlights the experiences shared during the event.
Furthermore, we introduced Agents for Amazon Bedrock, providing a more streamlined creation and configuration process for applications utilizing generative artificial intelligence (AI) to perform tasks across various systems and data sources. Starting today, these new features will enhance the efficiency of agent management.
In an exciting update, you can now import custom weights for various supported model architectures, including Meta Llama 3.2 and Mixtral 8x7B, without the hassle of managing model lifecycle and infrastructure. This makes Amazon Bedrock a highly adaptable platform for developers seeking flexibility.
Industries such as automotive, robotics, and finance are increasingly adopting computational workloads like simulations, machine learning model training, and big data analytics to elevate their products. For instance, automakers rely on simulations to evaluate autonomous driving capabilities, while robotics companies enhance perception algorithms for robots, and financial institutions conduct comprehensive analyses to improve their services.
As we continue to refine our offerings, it’s worth noting that Amazon SQS has enhanced its FIFO queues, increasing maximum throughput to 70,000 transactions per second in selected AWS Regions. This improvement is a significant step for managing message exchanges between software components at scale.
For those looking for resources on workload distribution, this article provides valuable insights. Additionally, if you’re curious about the onboarding process at Amazon, this Reddit thread is an excellent resource for firsthand experiences.
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