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Tag: applications

LLM red teaming
LLM red teaming plays a critical role in enhancing the safety and ethical standards of large language models. As these models increasingly influence communication and decision-making, ensuring their i...

Long short-term memory (LSTM)
Long short-term memory (LSTM) networks have revolutionized the field of deep learning by providing advanced solutions to processing sequence data. Unlike traditional approaches, LSTMs can effectively ...

Anthropic API lets Claude browse the internet for you
Anthropic has launched a new API that enables its Claude AI models to search the web, allowing developers to build applications that deliver current information. The company announced the rollout in a...

AI now drives Figma’s fresh arsenal of creation tools
Figma has launched a suite of AI-powered tools designed to streamline the creation of websites, app prototypes, and marketing assets. The new features include Figma Sites for website creation, Figma M...

10+ Signs You Might Need API Governance
API governance means different things to different folks. But for all intents and purposes, API governance is the intentional oversight of API design, style, development, lifecycle, and security to en...

MoonPay enters strategic collaboration with TRON
The collaboration could significantly enhance TRON's global reach and adoption, boosting its role in decentralized finance and blockchain applications. The post MoonPay enters strategic collaboration ...

AWS is reportedly building Kiro AI to code for you
Amazon Web Services is developing an AI-powered code generation tool, codenamed “Kiro,” according to internal documents viewed by Business Insider. The tool can generate code in “near real-time�...

ROC curve
The ROC curve, or receiver operating characteristic curve, serves as an essential tool for assessing the performance of binary classifiers. Whether in medical diagnostics or machine learning applicati...

LLM inference
LLM inference is a fascinating aspect of artificial intelligence that hinges on the capabilities of Large Language Models (LLMs). These models can process and generate human-like text, making them pow...

Variational autoencoder (VAE)
Variational autoencoders (VAEs) have gained traction in the machine learning community due to their innovative approach to data generation and representation. Unlike traditional autoencoders, which so...