AI

In the dynamic world of Artificial Intelligence (AI), the role of continuous learning and collaboration cannot be overstated. System in Motion, an AI consulting company known for its innovative solutions, recently had the privilege of partnering with the Founders Breakfast community on an exciting learning day (January 16th, 2024). The focus was none other than Generative AI, a revolutionary AI technology that has been making waves in various industries. The participants, at the end of the 3-hour training, left with a wealth of new insights, marking this collaboration as a resounding success.

On January 11th, Shanghai’s vibrant startup community gathered for a night of learning and networking at the Startup Grind event. Entrepreneurs from all walks of life congregated to learn, share, and engage with one another. The event was marked by an exchange of ideas, insightful conversations, and an atmosphere that was palpable with entrepreneurial spirit.

Artificial Intelligence (AI) has made remarkable strides in the past year, with generative AI standing as one of the most intriguing developments. However, as promising as this technology is, it’s not without its risks. Companies considering the adoption of generative AI should first understand these potential pitfalls.

I’ve had the opportunity to witness firsthand the innovative strides made in the artificial intelligence domain. A key player in this arena is OpenAI’s Generative Pre-trained Transformer (GPT) models, which have transformed the way we perceive AI’s capabilities. But one question we often grapple with is: “Are there any limits to what we can achieve with GPT?”

Introduction PowerPoint presentations (PPTs) are critical tools, often serving as the backbone of effective storytelling and persuasion. However, crafting an engaging, well-structured PPT is not a walk in the park. Enter Generative Pretrained Transformer (GPT), an artificial intelligence model developed by OpenAI that has the potential to revolutionize the way we create presentations.

In recent months, language models like GPT have revolutionized natural language processing, becoming a staple in business conversations. These models can generate text so coherent it often mirrors human writing. However, new technologies also bring potential risks and pitfalls.