Extractive summarization is a prominent technique in the field of NLP. Learn how you can pull key sentences out of a corpus of text using BERT Summarization.
LLM evaluation is constantly changing as the models improve; LLMs don't have simple right/wrong answers, making results subjective, so testing methods need to adapt.
AI advancements in API technology involve enhancing NLP capabilities, improving algorithmic decision-making through reinforcement learning, and expanding AI integration.
Implementing ML on IoT devices demands efficient software engineering. Optimize models, use hardware accelerators, manage resources, and prioritize security for success.
Learn about a cloud-based service where machine learning or Generative AI models are hosted in the cloud and are easily available for consumption through chat-based APIs.
As technology changes more rapidly, software cost estimation becomes much more important, especially for legacy systems. Discover a new estimation method.
This article looks at the technologies behind these digital deceptions, their societal implications, and the AI-driven techniques designed to detect them.
Unifying identity and business data sources into a single trusted data asset enables enhanced security, AI trustworthiness, intelligent applications, and analytics.
Nowadays, Site Reliability Engineering (SRE) has emerged as one of the main actors in modern and fast-paced industries. Find out how GenAI and SRE work together.
Low-code/no-code development offers a lot of opportunities for companies across sectors, but it can also bring new security risks and compliance concerns.