Harnessing the Power of Slots for Optimizing Memory Usage in Python
Author(s): Jose D. Hernandez-Betancur Originally published on Towards AI. Memory Space Efficiency and Access Speed Image generated by author using Gencraft Efficiency is highly valued in the Python programming community. Optimizing memory utilization is essential for performance and scalability in any application …
Prompt Engineering Best Practices for Instruction-Tuned LLM [Part 2]
Author(s): Youssef Hosni Originally published on Towards AI. Have you ever wondered why your interaction with a language model falls short of expectations? The answer may lie in the clarity of your instructions. Picture this scenario: requesting someone, perhaps a bright but …
Three Popular ChatGPT Prompt Engineering Patterns for Life and Business Productivity
Author(s): Dipanjan (DJ) Sarkar Originally published on Towards AI. Created with DALL-E 3 Introduction In recent years, the landscape of artificial intelligence has undergone a significant transformation with the emergence of Generative AI technologies. Leading this revolution is ChatGPT, a state-of-the-art large …
GPT-4 One-Prompt Dashboard Showdown: Plotly Dash vs Streamlit
Author(s): John Loewen, PhD Originally published on Towards AI. Which framework reigns supreme in GPT-4, prompting simplicity?Dall-E generated image: impresionist painting of two similar dashboards on two computer screens For the past 8 months, I have been incessant on optimizing GPT-4 prompt …
Synthetic Data for Machine Learning
Author(s): Michael Galarnyk Originally published on Towards AI. It’s no secret that supervised machine learning models need to be trained on high-quality labeled datasets. However, collecting enough high-quality labeled data can be a significant challenge, especially in situations where privacy and data …
Mitigating Redundant UDF Computations in Spark Plans
Author(s): Abhijith C Originally published on Towards AI. Photo by Samuel Sianipar on Unsplash Originally published on my blog. When processing big data, efficiency is key. It’s not uncommon to be caught up in long debugging cycles when working with Spark. I …
LangChain 101: Part 3b. Talking to Documents: Embeddings and Vectorstores
Author(s): Ivan Reznikov Originally published on Towards AI. The terms vectorstores and embeddings are gaining more and more popularity. As soon as the idea of integration of LLMs with our own data became a possibility, we started to look into tools to …
Unlock Your Unique Playlist: Personalized Song Recommendations Using Spotify API
Author(s): Sarvesh Talele Originally published on Towards AI. Image Created by AI Have you ever been frustrated by the recommendations because you were so focused on choosing the perfect playlist? In that case, you are not alone. Looking through the vast array …
Few shots at a Math assistant with Orca-2-7B
Author(s): Kundan Joshi Originally published on Towards AI. In the world of text generation with LLMs, where content with largely subjective underpinnings is churned out with imaginative opulence, topics with an analytical quotient, like logical reasoning and maths problems, do not score …
Demystifying Time Series Outliers – 4/4
Author(s): Andrea Ianni Originally published on Towards AI. Last stop: end of the line We’ve reached the end of our saga, which began on a cold sunny day with the entry of a blonde-haired kid onto the field, a pandemic ago. We’ve …
Secret Behind Perplexity AI Success Over Google
Author(s): Sai Viswanth Originally published on Towards AI. World’s leading Conversation AI engine to beat Google’s Search Engine Just short after Chat GPT 3 success, Perplexity AI's popularity was on the rise. People were going toe-toe to find which one of these …
The Traps of Blindly Trusting Data: Simpson’s Paradox
Author(s): Renu Khandelwal Originally published on Towards AI. Demystifying Simpson’s Paradox for Reliable Data Insights Data speaks volumes, but it needs to be understood to truly be heard Photo by Edurne Tx on Unsplash In the fall of 1973, the University of …
Unlocking the Gates to Success: Dive into SQL Interview Questions from Leading MAANG Companies
Author(s): Kamireddy Mahendra Originally published on Towards AI. “Consistent practice is the key to unlocking success in clearing any coding interview.” Concepts used: Window functions, CTE, Joins, Subqueries, and GROUP BY Photo by Christian Wiediger on Unsplash Q1. Assume you’re given a …
Towards Faster Research: Consolidating Knowledge With RAG
Author(s): Alden Do Rosario Originally published on Towards AI. If you are in the world of research, have you ever wondered how cool it would be to have all the answers AND your research knowledge at your fingertips? That’s exactly what Retrieval-Augmented …
Direct Uses of Large Language Models in Modern Science and Technology
Author(s): LucianoSphere (Luciano Abriata, PhD) Originally published on Towards AI. An overview plus examples from the public and private sectors applying cutting-edge LLMs to research and developmentImage composed by the author from free screenshots and Dall-E-3 generations. All other figures of this …