In a significant development that underscores the strategic importance of semiconductors in the global economy, the White House has recently announced a groundbreaking agreement with Taiwan Semiconductor Manufacturing Company (TSMC). The deal will see the U.S. government extend $11 billion in grants and loans to TSMC for the chip manufacturer to establish three advanced semiconductor factories in Arizona. The ambitious goal is to have 20% of the world’s leading-edge semiconductors manufactured on American soil by 2030. This move is not merely about enhancing the United States’ semiconductor ca ..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 generative AI applications. However, the semiconductor industry is characterized by its complexity, intricate supply chains, and a high concentration of expertise and resources. This article aims to dissect the layers of this i ..read more

ChatGPT has fundamentally changed the way we can tackle a broad array of tasks, introducing unprecedented levels of automation and intelligence into our workflows. However, leveraging this technology effectively often hinges on the user’s ability to craft precise and insightful prompts – a skill not everyone possesses. Recognizing this barrier, OpenAI introduced custom GPTs last year, offering a solution that partially addresses this challenge.  The specialized versions of GPT come pre-configured to perform specific functions, eliminating the need for intricate prompt engineering by the u ..read more

We humans like to think we’re the only beings capable of creativity, but computers have been used as a generative force for decades, creating original pieces of writing, art, music, and design. This digital renaissance, powered by advancements in artificial intelligence and machine learning, has ushered in a new era where technology not only replicates but also innovates, blurring the lines between human and machine creativity. From algorithms that compose symphonies to software that drafts novels, the scope of computer-generated creativity is expanding, challenging our preconceived notions of ..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. It requires a deep understanding of the underlying principles, a keen awareness of the potential challenges, and a strategic approach to development and deployment. In this article, we address critical aspects of the LLM ..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 knowledge provided in the first edition, introducing critical updates and new chapters on the cutting-edge areas of Generative AI and Large Language Models (LLMs). What’s New in the Second Edition? Predictive AI vs Generativ ..read more

As the wave of interest in Large Language Models (LLMs) surges, many developers and organisations are busy building applications harnessing their power. However, when the pre-trained LLMs out of the box don’t perform as expected or hoped, the question on how to improve the performance of the LLM application. And eventually we get to the point of where we ask ourselves: Should we use Retrieval-Augmented Generation (RAG) or model finetuning to improve the results? Before diving deeper, let’s demystify these two methods: RAG: This approach integrates the power of retrieval (or searching ..read more

Generated with Midjourney The NeurIPS 2023 conference showcased a range of significant advancements in AI, with a particular focus on large language models (LLMs), reflecting current trends in AI research. This year, the award committees recognized excellence in the field by granting two Outstanding Papers Awards and two Runner-up Awards. These awards highlight the latest achievements and novel approaches in AI research. Additionally, two Dataset Awards were given, acknowledging the importance of robust and diverse datasets in AI development. A Ten-Year Test-of-Time Award was also presented, m ..read more

Generated with Midjourney The NeurIPS 2023 conference, held in the vibrant city of New Orleans from December 10th to 16th, had a particular emphasis on generative AI and large language models (LLMs). In light of the recent groundbreaking advancements in this domain, it was no surprise that these topics dominated the discussions. One of the core themes of this year’s conference was the quest for more efficient AI systems. Researchers and developers are actively seeking ways to construct AI that not only learns faster than current LLMs but also possesses enhanced reasoning capabilities while con ..read more

From Generative Agents research paper In this article, we delve into ten transformative research papers from diverse domains, spanning language models, image processing, image generation, and video editing. As discussions around Artificial General Intelligence (AGI) reveal that AGI seems more approachable than ever, it’s no wonder that some of the featured papers explore various paths to AGI, such as extending language models or harnessing reinforcement learning for domain-spanning mastery. If you’d like to skip around, here are the research papers we featured: Sparks of AGI by Microsoft PALM ..read more