We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
Learn how to improve user engagement by building a context-aware chatbot powered by ChatGPT and LangChain in our expert guide.| Apriorit
Developing an AI chatbot like ChatGPT is an arduous process. Read on to find out how much will it cost while understanding the process and the timelines.| Appinventiv
The first comparative benchmark and benchmarking framework for vector search engines and vector databases.| qdrant.tech
With the plethora of open-source language models, it's incredibly difficult to determine if a piece of text is AI generated. However, with a good dataset, you can train a model in TensorFlow to detect if a large language model generated text. It's such an interesting problem that there is even| Machine learning nuggets
Thanks to Keras, performing deep learning on a very large number of Reddit submissions is actually pretty easy. Performing it well is a different story.| minimaxir.com
A beginner-friendly guide on using Keras to implement a simple Recurrent Neural Network (RNN) in Python.| victorzhou.com
A simple walkthrough of what RNNs are, how they work, and how to build one from scratch in Python.| victorzhou.com
We benchmarked several vector databases using various configurations of them on different datasets to check how the results may vary. Those datasets may have different vector dimensionality but also vary in terms of the distance function being used. We also tried to capture the difference we can expect while using some different configuration parameters, for both the engine itself and the search operation separately. Updated: January 2024| qdrant.tech