Aishe News

From Treats to Training: Understanding Reinforcement Learning with Human Feedback To understand reinforcement learning, it's important to first distinguish between supervised and unsupervised learning. Supervised learning relies on labeled data to train models to respond appropriately when encountering similar data in the future. In unsupervised learning, models learn independently by identifying patterns and inferring rules and behaviors from data without guidance. However, unsupervised learning alone may not be sufficient to produce answers that align with human values and needs. This is where reinforcement learning comes in, particularly in the context of the AISHE client system. Reinforcement learning is a powerful machine learning approach where models learn to solve problems through trial and error. Behaviors that optimize outputs are rewarded, while those that don't are punished and further refined through training. An analogy for reinforcement learning is how we train ...

Artificial intelligence (AI) has become an integral part of the workplace, and its influence is growing by the day. With AI technologies becoming increasingly prominent in modern business operations, it is crucial to understand their impact on the workforce. The question that arises is how do current statistics portray the use of AI, and how do employees and employers perceive its effects? This article delves into the current evidence from eight OECD countries, providing insight into the impact of AI on the workplace. From concerns about wage development to opportunities for growth, this article explores the various dimensions of the AI-driven transformation of work. Examining the Impact and Perceptions from Eight OECD Countries Potential for Change with and through AI - Current Assessments by Employees and Employers Artificial intelligence (AI) has been a buzzword in the world of work for several years now. While employers see the potential for improved efficiency, cost savings, a...

OpenAI, a leading artificial intelligence research lab, has recently unveiled its latest and much-anticipated AI model, the GPT-4. Building on the success of its predecessor, the GPT-3.5, the GPT-4 is designed to showcase human-level performance in various professional and academic benchmarks. This groundbreaking model is expected to have far-reaching implications for the future of artificial intelligence and the way we interact with technology.  GPT-4 Now Available In ChatGPT & Bing One of the key features of the GPT-4 is its significant improvements over its predecessor. According to OpenAI, the GPT-4 boasts superior reliability, creativity, and handling of nuanced instructions. It is also designed to be more secure, with OpenAI working to mitigate risks associated with its use. However, as with any new technology, the GPT-4 is not without its limitations. Despite its impressive capabilities, the GPT-4 has its own set of restrictions, which must be taken into account when...

ChatGPT and other generative AI models have been gaining popularity lately, but the cost of using them can be prohibitive. That became clear when small startup Latitude grew in popularity with its AI dungeon game that generates fantastical stories based on user input. CEO Nick Walton found that the cost of maintaining the text-based role-playing game software continued to rise as more users played the game. AI Dungeon's text generation was based on Microsoft's GPT language technology developed by OpenAI. Additionally, content marketers used the game to create ad copy, which also impacted Latitude's AI bill. AI systems on the rise, but at what cost? According to Walton, in 2021 the company was spending nearly $200,000 a month on OpenAI and Amazon Web Services generative AI software to keep up with the millions of user requests it had to process every day. "We joked that we had human workers and AI workers, and we spent about th...

In the last decades, technology has experienced huge growth and rapid developments. Technology is expected to replace most human work in the near future, as we are surrounded by artificial intelligence in our everyday lives, starting from our smartphones, smart TVs, PCs, etc. Keeping up with these innovations and other technologies is challenging. Artificial intelligence is much more than just our everyday gadgets. It integrates computer science and big databases to speed up the decision-making process and includes branches like deep learning and machine learning. These fields use AI algorithms to build expert systems that make predictions or classify information based on the received data. The capabilities of artificial intelligence are often stronger than human brains, as information can be processed more quickly by machines. The concept of singularity, a tipping point where machines may design and create better replicas of themselves and other machines without human assistance, has ...