Harnessing the Power of 280+ NLP, LLM, and Transformers Research Papers
With expertise from roles at Netflix and LinkedIn, Harsh curated 280+ NLP papers from Arxiv into an interactive Kaggle notebook where you can chat with these research papers.
Harsh Singhal | DataScienceFM
"Talk to Your Documents" Series: A Deep Dive with Harsh Singhal
The digital space is brimming with information, and every day, we find new methods to interact with data. One of the emerging ways is through conversational AI, where we can communicate with documents, extract information, and generate meaningful outcomes.
Elevating Patent Analysis with AI: A Peek into the Future
Unlock the power of AI in patent analysis with our latest tools and insights. From instant summaries to advanced AI-driven Q&A features, discover how Data Science is reshaping the future of intellectual property research and analysis.
Unlocking Expertise with Language Models: An Exploration using Expert Prompting Techniques with Examples for ML, AI and CS Questions
A recently prompting approach proposes to ask LLMs to respond as an expert. It involves 3 different steps:
* Ask LLM to identify experts in a given field related to the prompt/question
* Ask LLM to respond to the question as if it was each of the experts
* Make final decision
Decoding the Basics: 10 AI-Generated Prompts for Teaching Machine Learning to Beginners
Here are 10 prompts that professors can use to instruct undergraduate students in Machine Learning over the course of 3 months:
1. Prompt 1: "I want you to act as a machine learning instructor for beginners. Start by explaining what Machine Learning is, how it works, and why it&
Decoding AI for Academia: A 10-Step Guide to Effectively Implement ChatGPT and GPT-4 in Teaching
To use large language models (LLMs) like ChatGPT or GPT-4 effectively, professors can follow these steps:
1. Understand the Technology: The first step is understanding how these AI models work. Familiarize yourself with the capabilities and limitations of LLMs. Explore OpenAI's documentation and resources to get started.
2.
Teaching Empowered: Optimizing Prompts for Language Models in Engineering Education
Optimizing prompts can greatly improve the outcomes when using language models like ChatGPT or GPT-4.
Here are some ways an engineering college professor can use this strategy:
Teaching Process:To enhance their teaching process, professors can create prompts that ask ChatGPT to explain complex concepts in simple terms or provide
