Introducing GPT-3.5 Turbo Instruct – precision AI for CyberSEO Pro – CyberSEO Pro
Unlock precision AI with OpenAI GPT-3.5 Turbo Instruct for CyberSEO Pro.
MIT scholars awarded seed grants to probe the social implications of generative AI
The 27 finalists — representing every school at MIT — will explore the technology’s impact on democracy, education, sustainability, communications, and much more.
Orchestrate Ray-based machine learning workflows using Amazon SageMaker | Amazon Web Services
Machine learning (ML) is becoming increasingly complex as customers try to solve more and more challenging problems. This complexity often leads to the need for distributed ML, where multiple machines…
Designing resilient cities at Arup using Amazon SageMaker geospatial capabilities | Amazon Web Services
This post is co-authored with Richard Alexander and Mark Hallows from Arup. Arup is a global collective of designers, consultants, and experts dedicated to sustainable development. Data underpins Arup consultancy…
Multi-AI collaboration helps reasoning and factual accuracy in large language models
Researchers use multiple AI models to collaborate, debate, and improve their reasoning abilities to advance the performance of LLMs while increasing accountability and factual accuracy.
Learn how to build and deploy tool-using LLM agents using AWS SageMaker JumpStart Foundation Models | Amazon Web Services
Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the…
AI-driven tool makes it easy to personalize 3D-printable models
With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.
Simplify access to internal information using Retrieval Augmented Generation and LangChain Agents | Amazon Web Services
This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create…
Build a classification pipeline with Amazon Comprehend custom classification (Part I) | Amazon Web Services
In first part of this multi-series blog post, you will learn how to create a scalable training pipeline and prepare training data for Comprehend Custom Classification models. We will introduce…
Fine-tune Falcon 7B and other LLMs on Amazon SageMaker with @remote decorator | Amazon Web Services
Today, generative AI models cover a variety of tasks from text summarization, Q&A, and image and video generation. To improve the quality of output, approaches like n-short learning, Prompt engineering,…