The Best of Applied Artificial Intelligence, Machine Learning, Automation, Bots, Chatbots

The recent disruption caused by DeepSeek's R1 model sent shockwaves through the AI community, demonstrating that Chinese AI advancements may have been underestimated. The model’s performance, rivaling some of the most advanced offerings from OpenAI and Anthropic at a fraction of the cost, signaled a new era of competition in artificial intelligence.

However, DeepSeek is not … Read more...

The surge of interest and investment in artificial intelligence (AI) has cast a spotlight on an industry that, while often operating behind the scenes, is fundamental to technological advancement: the semiconductor industry. Semiconductors, or chips, are the heartbeats of modern electronics, from the simplest household gadgets to the most complex supercomputers powering … Read more...

In the rapidly evolving AI landscape, Large Language Models (LLMs) have emerged as powerful tools, driving innovation across various sectors. From enhancing customer service experiences to providing insightful data analysis, the applications of LLMs are vast and varied. However, building a successful LLM application involves much more than just leveraging advanced technology. … Read more...

In an era where Artificial Intelligence continues to reshape the business landscape, it's imperative for leaders and developers to stay abreast of the latest advancements. We are excited to announce the release of the second edition of our comprehensive guide, "Applied Artificial Intelligence: A Handbook For Business Leaders." This new edition builds upon the foundational … Read more...

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Predictive AI and generative AI are two powerful applications of artificial intelligence with a wide range of use cases in business and industry. Both types of AI use machine learning to learn from data, but they do so in different ways and have different capabilities. Business leaders must understand the strengths and … Read more...

With the rush to adopt generative AI to stay competitive, many businesses are overlooking key risks associated with LLM-driven applications. We cover four major risk areas with large language models such as OpenAI’s GPT-4 or Meta’s Llama 2, which should be vetted carefully before they are deployed to production for real end-users:

In the following sections, we will … Read more...

Large Language Models (LLMs) present a unique challenge when it comes to performance evaluation. Unlike traditional machine learning where outcomes are often binary, LLM outputs dwell in a spectrum of correctness. Also, while your base model may excel in broad metrics, general performance doesn’t guarantee optimal performance for your specific use cases.

Therefore, a … Read more...