Category: NLP
Articles About Natural Language Processing
AI Consulting
Kavita Ganesan is the author of the Amazon bestselling book, The Business Case for AI and founder of Opinosis Analytics, an AI consulting company providing advisory, strategy and development services. With over 15 years of experience in the field, Kavita has scaled and delivered multiple successful AI initiatives for large companies such as eBay, 3M, and GitHub, as well as smaller organizations. Kavita holds advanced degrees from prestigious computer science programs, specifically a Masters’s from the University of Southern California […]
Read moreExploring the Ethical Implications of AI: A Closer Look at the Challenges Ahead
AI ethics is about releasing and implementing AI responsibly, paying attention to several considerations, from data etiquette to tool development risks, as discussed in a previous article. In this article, we’ll explore some of the ethical issues that arise with AI systems, particularly machine learning systems, when we overlook the ethical considerations of AI, often unintentionally. The 5 Common AI Ethical Issues 1. Bias propagation Although there’s a strong belief that algorithms are less biased than humans, AI systems are […]
Read moreWhat is An AI Strategy and Why Every Business Needs One
This article discusses what an AI strategy means, the different types of AI strategies that you should know about, and how as a leader you can get started with an AI strategy. What Is An AI strategy? An AI strategy may seem like a complicated business-speak, but it’s simply a vision or high-level plan for integrating AI into the organization, such that it aligns with your broader business and automation goals. This high-level plan can be a: Product-level AI strategy (I […]
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Prompt Engineering Guide (Web Version)
We are excited to launch a new web version of the prompt engineering guide. https://www.promptingguide.ai/ Includes lectures, notebooks, guides, and the latest papers for AI researchers and developers. Check it out! With this web version, we aim to make the guide more accessible. The content still lives in our repo with 14K ⭐ . https://github.com/dair-ai/Prompt-Engineering-Guide We added a new section on models like GPT-4 and ChatGPT to highlight the capabilities and limitations of these models and how to make the […]
Read moreWhat is AI Ethics?
As AI continues to become more prevalent in our lives, it is crucial to consider the ethical implications of its use. Although AI can augment and revolutionize how we live, work, and interact with each other, it can also cause harm if not used or developed correctly. People can be wrongly imprisoned when facial recognition systems fail in law enforcement and the judicial system. People can be killed if self-driving cars fail to correctly see them as pedestrians on the […]
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Prompt Engineering Lecture
Hi all! It’s finally here! Excited to finally publish our ~1 hour special lecture on prompt engineering techniques, applications, and much more. It includes code examples, exercises, and slides. The lecture is divided into four parts: Part 1 — Introduction to Prompt Engineering Part 2 — Advanced Techniques for Prompt Engineering Part 3 — Tools and Applications Part 4 — Conclusion and Future Directions Notebook:
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2022: A Year in Review (ML Papers Edition)
Let’s take a look at some of the top trending ML papers of 2022: 1) A ConvNet for the 2020s (Liu et al) — Vision Transformers took off this year but this work proposes ConvNeXt to reexamine the design spaces and test the limits of a pure ConvNet on several vision tasks. The ConvNets vs. Transformers debate continues. 2) Language Models as Zero-Shot Planners (Huang et al) — studies the possibility of grounding high-level tasks to actionable steps for embodied […]
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The Prompt Engineering Guide
The way we interact with large language models (LLMs) is evolving and always improving. Current approaches include a lot of prompt engineering to make LLMs effective at different tasks. This may change in the future but developers and researchers are still figuring out new ways that involve clever prompting of LLMs. To help with learning about prompt engineering, I am excited to publish the Prompt Engineering Guide, a new repo for discovering papers, guides, tools, and datasets. This is intended […]
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The State of Multilingual AI
Models that allow interaction via natural language have become ubiquitious. Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities. At the same time, a wave of NLP startups has started to put this technology to practical use. While such language technology may be hugely impactful, recent models have mostly focused on English and a handful of other languages with large amounts of resources. […]
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