Bedrock Brief 21 Jan 2026
Welcome back, fellow cloud wanderers and AI enthusiasts! This week in the wild world of AWS, we've seen more twists and turns than a machine learning model trying to predict my coffee order. (It's always "more caffeine," in case you're wondering.)
First up, AWS is taking aim at those pesky AI hallucinations that keep us all up at night. You know, the ones where your chatbot suddenly decides to spice things up by inventing an entirely fictional corporate history? Byron Cook and the Automated Reasoning Group at AWS are cooking up some logic-based defenses that might just save us from our AI's overactive imagination. It's like giving our AI a built-in fact-checker – because let's face it, we could all use one of those sometimes.
Meanwhile, in the "Great AI Talent Hunt of 2024," Vega Consulting Solutions is on the prowl for an AI AWS Architect in the DC area. They're looking for someone who can wrangle AWS services into AI solutions faster than you can say "machine learning model." If you've got 6 years of experience and a knack for herding cat... I mean, stakeholders, this might be your chance to shine. Just remember, in the world of AI architecture, "hybrid" doesn't mean you get to work part-time as a robot.
Fresh Cut
- Developers in New Zealand can now use AWS Glue to quickly process and analyze local data without the complexity of managing servers or infrastructure. Read announcement →
- Amazon Quick Suite's SPICE engine now handles datasets up to 2TB, doubling its previous limit, while improving ingestion speed and supporting longer strings and a wider timestamp range, enabling developers to work with larger and more diverse datasets for advanced analytics. Read announcement →
- Amazon's new G7e instances offer powerful GPUs with 96 GB memory each, enabling developers to run large AI models and graphics-intensive workloads with up to 2.3x better inference performance than previous generations. Read announcement →
- Amazon QuickSight users can now customize dashboard tables and pivot tables by adding fields, changing aggregations, and modifying formatting without requiring author updates, giving data analysts more control over their visualizations. Read announcement →
- Amazon Bedrock now offers a Reserved tier for Claude Opus 4.5 and Haiku 4.5, allowing developers to secure guaranteed token capacity for predictable performance in mission-critical AI applications. Read announcement →
- Vercel's AI-powered v0 tool now integrates AWS databases, allowing developers to create full-stack web applications with natural language prompts and automatically connect to Amazon Aurora PostgreSQL, Aurora DSQL, or DynamoDB serverless databases. Read announcement →
- EC2's new X8i instances offer up to 6TB of memory and 43% higher performance than previous generations, making them ideal for memory-intensive workloads like SAP HANA and large databases. Read announcement →
- Amazon Connect's new agent scheduling metrics in its data lake enable developers to easily analyze staffing efficiency and identify over or under-staffing periods, improving productivity for contact center supervisors. Read announcement →
- AWS Data Exports now shows specific Amazon Bedrock operation types in cost reports, helping developers and FinOps teams track AI model usage more accurately and optimize costs. Read announcement →
- Amazon Bedrock's API keys, which simplify authentication for generative AI development, are now available in GovCloud regions, allowing developers to quickly generate access credentials without manual IAM configuration. Read announcement →
The Quarry
Advanced fine-tuning techniques for multi-agent orchestration: Patterns from Amazon at scale
Amazon's fine-tuning wizardry isn't just for show—it's saving lives and sanity across their empire. They've slashed dangerous medication errors by a third, freed up engineers from 80% of their grunt work, and boosted content quality checks to near-perfect accuracy. The secret sauce? A smorgasbord of techniques from good ol' Supervised Fine-Tuning to fancy newcomers like Direct Preference Optimization, all calibrated to make AI agents play nice with humans and each other. Read blog →
More posts:
- Introducing multimodal retrieval for Amazon Bedrock Knowledge Bases
- Advanced fine-tuning techniques for multi-agent orchestration: Patterns from Amazon at scale
- How Palo Alto Networks enhanced device security infra log analysis with Amazon Bedrock
- From beginner to champion: A student’s journey through the AWS AI League ASEAN finals
- Deploy AI agents on Amazon Bedrock AgentCore using GitHub Actions
- How the Amazon AMET Payments team accelerates test case generation with Strands Agents
- Build a generative AI-powered business reporting solution with Amazon Bedrock
- Safeguard generative AI applications with Amazon Bedrock Guardrails
- Scale creative asset discovery with Amazon Nova Multimodal Embeddings unified vector search
- How AutoScout24 built a Bot Factory to standardize AI agent development with Amazon Bedrock
- Transform AI development with new Amazon SageMaker AI model customization and large-scale training capabilities
Core Sample
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