AI-Powered Tools Transforming Task Management and Scheduling
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by Kate Koidan
1w ago
In today’s digital landscape, where efficiency is the new currency, AI-powered productivity tools have become essential allies. This article marks the beginning of a series dedicated to exploring various AI productivity tools that are reshaping how we work. In this first installment, we delve into AI-enhanced scheduling and task management tools, offering a comprehensive look at some of the market leaders. From automated scheduling to intelligent project management, AI tools like Motion, Reclaim AI, Clockwise, ClickUp, Taskade, and Asana are designed to streamline workflows and boost productiv ..read more
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The AI Arms Race in Big Tech: An Overview of Emerging Enterprise Solutions
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by Kate Koidan
1M ago
Setting the Stage: The Shift from Consumer to Enterprise AI In recent years, the surge of generative AI breakthroughs has not only generated global buzz but also significantly influenced consumer behaviors, prompting millions to embrace these technologies daily. Initially, the market saw a wave of startups racing to introduce innovative, buzzworthy generative AI products targeting individual users. However, a distinct shift is now observable as the focus pivots from broad consumer applications to more specialized enterprise solutions. This strategic shift brings multiple advantages. Firstly, i ..read more
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Advancing AI’s Cognitive Horizons: 8 Significant Research Papers on LLM Reasoning
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by Kate Koidan
1M ago
Simple next-token generation, the foundational technique of large language models (LLMs), is usually insufficient for tackling complex reasoning tasks. To address this limitation, various research teams have explored innovative methodologies aimed at enhancing the reasoning capabilities of LLMs. These enhancements are crucial for enabling these models to handle more intricate problems, thus significantly broadening their applicability and effectiveness.  In this article, we summarize some of the most prominent approaches developed to improve the reasoning of LLMs, thereby enhancing their ..read more
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Navigating the Complexities of the Semiconductor Supply Chain
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by Kate Koidan
2M ago
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
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Semiconductor Titans: Inside the World of AI Chip Manufacturing and Design
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by Kate Koidan
2M ago
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
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The Impact of Custom GPTs: An Overview of Their Key Applications
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by Kate Koidan
3M ago
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
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Systems That Create: The Growing Impact of Generative AI
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by Mariya Yao
3M ago
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
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10 Integral Steps in LLM Application Development
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by Kate Koidan
4M ago
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
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Announcing the 2nd Edition of “Applied Artificial Intelligence: A Handbook For Business Leaders”
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by Mariya Yao
4M ago
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
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RAG vs Finetuning — Which Is the Best Tool to Boost Your LLM Application?
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by Heiko Hotz
5M ago
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
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