An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer’s Disease and around fifty other types of human disease. In a departure from typical “black-box” AI models, the new tool, CANYA, was designedContinue Reading
As organizations look to incorporate AI capabilities into their applications, large language models (LLMs) have emerged as powerful tools for natural language processing tasks. Amazon SageMaker AI provides a fully managed service for deploying these machine learning (ML) models with multiple inference options, allowing organizations to optimize for cost, latency,Continue Reading
For millions of deaf and hard-of-hearing individuals around the world, communication barriers can make everyday interactions challenging. Traditional solutions, like sign language interpreters, are often scarce, expensive and dependent on human availability. In an increasingly digital world, the demand for smart, assistive technologies that offer real-time, accurate and accessible communicationContinue Reading
Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes programmers’ lives easier if that code follows the rules of the programming language and doesn’t cause a computer to crash. Some methods exist for ensuring LLMs conform to the rules of whateverContinue Reading
Oregon State University College of Engineering researchers have developed a more efficient chip as an antidote to the vast amounts of electricity consumed by large-language-model artificial intelligence applications like Gemini and GPT-4. “We have designed and fabricated a new chip that consumes half the energy compared to traditional designs,” saidContinue Reading
Biologists and chemists have a new programming language to uncover previously unknown environmental pollutants at breakneck speed — without requiring them to code. By making it easier to search massive chemical datasets, the tool has already identified toxic compounds hidden in plain sight. Mass spectrometry data is like a chemicalContinue Reading
Organizations implementing agents and agent-based systems often experience challenges such as implementing multiple tools, function calling, and orchestrating the workflows of the tool calling. An agent uses a function call to invoke an external tool (like an API or database) to perform specific actions or retrieve information it doesn’t possessContinue Reading
This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Enterprise data by its very nature spans diverse data domains, such as security, finance, product, and HR. Data across these domains is often maintained across disparate data environments (such as Amazon Aurora, Oracle, and Teradata), with eachContinue Reading
Large language models (LLMs) can be used to perform natural language processing (NLP) tasks ranging from simple dialogues and information retrieval tasks, to more complex reasoning tasks such as summarization and decision-making. Prompt engineering and supervised fine-tuning, which use instructions and examples demonstrating the desired task, can make LLMs betterContinue Reading
The goal of this blog post is to show you how a large language model (LLM) can be used to perform tasks that require multi-step dynamic reasoning and execution. Examples of tasks that require dynamic reasoning and execution are answering questions of the form “What is the average length ofContinue Reading
