Ethical AI Guardrails for Using Large Language Models (LLMs) in Clinical Trials
Author(s): manish kumar Originally published on Towards AI. Large Language Models (LLMs) are being used at an unprecedented rate in healthcare, which can fuel innovation in clinical trials. These powerful models, which can understand and generate human-like language output, are used to …
(Vision) Transformers: Rise of the Chimera
Author(s): Quadric Originally published on Towards AI. Source: Image by Nadeem on Pixabay. It’s 2023, and transformers are having a moment. No, I’m not talking about the latest installment of the Transformers movie franchise, Transformers: Rise of the Beasts; I’m talking about …
What Should AI Learn from the Randomness in Financial Data?
Author(s): Shunyu (Andy) Tang Originally published on Towards AI. The Magic Power of Voting to Increase the Accuracy of Predictions from 60% to 90% Photo by Paul Wong on Unsplash Artificial Intelligence (AI) has entered an exponential growth phase since 2012. If …
Meet GPTCache: A New Framework that Brings Caching to LLM Applications
Author(s): Jesus Rodriguez Originally published on Towards AI. GPTCache expands on the ideas of LLM memory by providing a general-purpose framework to store information in LLM workflows. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 160,000 …
The Secret Python Skills That Separate Good Data Scientists from Great Ones
Author(s): Gencay I. Originally published on Towards AI. Conclusion Created in LeonardoAI In the fascinating realm of Data Science and Machine Learning, proficiency in Python has emerged as an invaluable skill. Beyond a solid understanding of Python, mastering certain Python abilities can …
10 Time-Saver ChatGPT Prompts
Author(s): Sarper Makas Originally published on Towards AI. Keep Your Time for Yourself Save your time with these 10 time-saving ChatGPT Prompts. This is the second article about time-saving. You can see the first “Time Saver ChatGPT Prompts” article. Let’s see… 10 …
Launching our LangChain & Vector DBs in Production course — 50+ lessons & practical projects for free
We’re thrilled to announce an exciting collaboration between Towards AI, Activeloop, and the Intel Disruptor Initiative. We are launching the Foundational Model Certification course, an educational journey for the next generation of AI professionals and enthusiasts. Consistent with our commitment at Towards AI, this …
Forget LAMP Stack: LLM Stack is Here!
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Huggingface has positioned itself as the new standard stack in the NLP/LLM ecosystem. Now the companies are asking for an LLM stack. Top highlight On the may of last year, Huggingface …
Quartic Roots-Using 2 ‘Big W’ Substitutes
Author(s): Greg Oliver Originally published on Towards AI. Quartics With ‘Big W’ Shape Substitutes For Simpler Roots vs Constant E Variations I have previously used Big W’s y=x⁴+Bx²+E as genetic architecture for finding Reduced Quartic roots, but this post adopts 2 generic …
How OpenAI’s New Function Calling Breaks Programming Boundaries
Author(s): Skanda Vivek Originally published on Towards AI. New OpenAI ChatGPT/GPT-4 function calling bridges the gap between deterministic and non-deterministic programming — leading to all sorts of possibilities interface between a well-defined city and abstract clouds U+007C Bing Image Creator A couple …
Bootstrap: A beginner-friendly Introduction With a Python example
Author(s): Janik and Patrick Tinz Originally published on Towards AI. Bootstrapping and the central limit theorem Photo by Glenn Carstens-Peters on Unsplash The bootstrap method is a resampling technique in which one draws many samples again from one sample. It is used …
Bootstrap: A Beginner-Friendly Introduction With a Python example
Author(s): Janik and Patrick Tinz Originally published on Towards AI. Bootstrapping and the central limit theorem Photo by Glenn Carstens-Peters on Unsplash The bootstrap method is a resampling technique in which one draws many samples again from one sample. It is used …
Approximate Nearest Neighbors
Author(s): Harshit Sharma Originally published on Towards AI. And where to find them using Product Quantization You must have heard of KNN (k-Nearest Neighbors) and the fact that it is as easy as it gets when retrieving the most similar items to …
Extracting the potential of PYNLPL: A Step-by-Step Guide
Author(s): Tushar Aggarwal Originally published on Towards AI. {This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of PYNLPL} Image crafted by Author Amidst the cacophony of information inundation, rest assured that this …
20 Most Elegant NumPy Tricks I Found After 3 Years of Use
Author(s): Bex T. Originally published on Towards AI. Become a NumPy samurai Image by me with Midjourney Every data scientist admires someone. For some, it might be people who create killer data visualizations; for others, it is simply anyone who answers their …