More and more businesses are blocking ChatGPT on work devices
Is this the end for ChatGPT in the workplace?
Source: techradar.com
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Using Friction As A Feature In Machine Learning Algorithms — Smashing Magazine
Friction often has a negative connotation in user experience design, but it actually has many benefits. Its best-known use case is mitigating unintended consequences in high-risk scenarios, yet it has a new place in the age of artificial intelligence. Adding strategic friction to interfaces can lead to profound efficiency gains in machine learning algorithms.
Source: smashingmagazine.com
AWS 'stabilizes' as Amazon CEO Andrew Jassy makes the pitch for three layers of generative AI
AWS grew at a healthy pace in Q2, with generative AI now opening up future growth opportunities...but not yet.
Source: diginomica.com
AI Researchers Claim They Can Double the Efficiency of Chatbots
Abacus AI claims to have found a way to fine-tune LLMs, making them capable of processing 200% their original context token capacity.
Source: yahoo.com
Understanding large language models: What are they and how do they work?
In recent years, large language models (LLMs) have revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). These sophisticated models are used widely in AI solutions, such as OpenAI's ChatGPT, and have been designed to understand and generate human-like text, enabling them to perform various language-based tasks. People are incredibly excited by the potential of this technology which is poised to revolutionize how we live and work. However, to understand the true potential of LLMs, it is crucial that people know how they function.
Source: betanews.com