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Harsh Singhal | DataScienceFM

Harsh Singhal | DataScienceFM

Data Science FM is the #1 Data Science and AI channel online. We help you get started on your Data Science journey with articles and videos that will positively impact your career decisions.

Find LLM and Text2Image APIs to use for your next project

For developers seeking to use LLMs in a programmatic manner, they need to find API providers for various models. While OpenAI provides APIs for ChatGPT and GPT4 LLMs, there are many other providers of APIs for open source and other proprietary models.

Mastering Retrieval Augmented Generation (RAG) Product Development: A Guide for Everyone

Mastering Retrieval Augmented Generation (RAG) Product Development: A Guide for Everyone

Retrieval Augmented Generation (RAG) products stand at the forefront of this innovation, providing invaluable assistance in workflows where human expertise is critical.

Structuring a Machine Learning Project: A Guide Inspired by Trello's Project Planning

Taking inspiration from a Trello board, we've broken down the stages of structuring a machine learning project.

Create Your Own Zoom Backgrounds with AI: Dive into New Realms

Create Your Own Zoom Backgrounds with AI: Dive into New Realms

Personalized Zoom backgrounds are just the tip of the iceberg when it comes to AI's capabilities. So, as you switch between a Victorian library and a tech lab for your next meetings, remember – the only limit is your imagination.

Unveiling the Cutting-Edge Nous-Hermes-Llama2-13b Language Model!

Today, I'm excited to introduce you to a groundbreaking development in the world of natural language processing: the Nous-Hermes-Llama2-13b language model! For those who thrive on innovation, this might just be the next big thing in the NLP domain.

A Dive into Airoboros: Leveraging LLMs to Refine Language Models

Rather than relying on conventional datasets, instruction datasets enable models to "teach themselves". The idea is rooted in automating the curation of high-quality data to help AI models refine their performance.

Embarking on the Future of AI Product Development

Learn the technology concepts needed to build modern AI applications. From document processing to embeddings and vectors and all the way to integrating with LLMs, find code and explanations here.