Open post AI-and-Productivity

AI in the Workplace: A Plus for Productivity and Quality

The world is abuzz with talks of Artificial Intelligence (AI) and its transformative potential. But how does it fare when integrated into the daily workflows of knowledge workers? A recent paper titled "Navigating the Jagged Technological Frontier" delves deep into this question. Understanding the Study's Landscape The study's core objective was rooted in the increasing...

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Why Your Business Should Enroll Employees in AI Workshops

Artificial Intelligence (AI) is reshaping the global business landscape. Its applications span every industry, driving operational efficiencies and enabling innovation. As businesses strive to harness the power of AI, it's crucial to ensure that their employees are equipped with the requisite knowledge and skills. Recent research further underscores the significance of AI integration in the...

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When LLMs Code: Is there a Future for Human Software Engineers?

Software engineers, once confident in the security and indispensability of their roles, find themselves in an era of increasing technological advancement where their job security is questioned. Similar sentiments are echoed by professionals in other fields. Copy editors and translators, for instance, have been grappling with the rise of advanced algorithms and automation tools that...

Open post Prompt engineering

Prompt engineering: is being an AI ‘whisperer’ the job of the future?

As generative AI settles into the mainstream, growing numbers of courses and certifications are promising entry into the “hot job” of prompt engineering. Having skills in using natural language (such as English) to “prompt” useful content out of AI models such as ChatGPT and Midjourney seems like something many employers would value. But is it...

Open post Large Language Models

What are Large Language Models?

In the realm of artificial intelligence, Large Language Models (LLMs) are increasingly becoming the linchpin, the foundational architecture that’s driving a new wave of innovation. If you’re a developer or a data scientist, you’ve likely encountered the acronyms and the buzz—GPT from OpenAI, Google’s PaLM2 (the underpinning of their Bard chatbot), and Falcon. These aren’t...

Open post LoRA and Finetuning

LoRA vs. Fine-Tuning LLMs

LoRA (Low-Rank Adaptation) and fine-tuning are two methods to adapt large language models (LLMs) to specific tasks or domains. LLMs are pre-trained on massive amounts of general domain data, such as GPT-3, RoBERTa, and DeBERTa, and have shown impressive performance on various natural language processing (NLP) tasks. Why fine tune a LLM? Fine-tuning of LLMs...

Open post Methodologies to leverageLLMs - image by cerridan | design

Harnessing the Power of Large Language Models for Next-Gen Applications

The realm of Large Language Models (LLMs) has been expanding with a notable trend towards open-source models or their close counterparts. With more models now available under user-friendly licenses, developers are bestowed with a broader spectrum of tools for crafting applications. In this blog post, we explore the diverse methodologies to leverage LLMs, ranked from...

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