Artificial Intelligence For Everyone
If you're looking to dive into the world of Artificial Intelligence but don't know where to start, "Master AI From Beginner To Business Leader" is the perfect guide for you.…
Optimizing costs of generative AI applications on AWS
Optimizing costs of generative AI applications on AWS is critical for realizing the full potential of this transformative technology. The post outlines key cost optimization pillars, including model selection and…
“Tap In”
Are you looking for a practical guide to harness the power of AI to streamline your life and save money? Look no further than Tap In: Liberate Your Time, Save…
PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium
In this blog post, we showcase how you can perform efficient supervised fine tuning for a Meta Llama 3 model using PEFT on AWS Trainium with SageMaker HyperPod. We use…
Improving Retrieval Augmented Generation accuracy with GraphRAG
Lettria, an AWS Partner, demonstrated that integrating graph-based structures into RAG workflows improves answer precision by up to 35% compared to vector-only retrieval methods. In this post, we explore why…
Using transcription confidence scores to improve slot filling in Amazon Lex
When building voice-enabled chatbots with Amazon Lex, one of the biggest challenges is accurately capturing user speech input for slot values. Transcription confidence scores can help ensure reliable slot filling.…
Ecologists find computer vision models’ blind spots in retrieving wildlife images
Biodiversity researchers tested vision systems on how well they could retrieve relevant nature images. More advanced models performed well on simple queries but struggled with more research-specific prompts.
Startup’s autonomous drones precisely track warehouse inventories
Corvus Robotics, founded by Mohammed Kabir ’21, is using drones that can navigate in GPS-denied environments to expedite inventory management.
MIT welcomes Frida Polli as its next visiting innovation scholar
The neuroscientist turned entrepreneur will be hosted by the MIT Schwarzman College of Computing and focus on advancing the intersection of behavioral science and AI across MIT.
Need a research hypothesis? Ask AI.
MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.