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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.

How to build an AI Product (5) - FastAPI Backend Service: Return Similar Sentences

FastAPI is a modern web framework for building APIs with Python 3.6+ based on standard Python type hints. It's known for its speed and easy-to-use syntax. We create a simple FastAPI backend service that accepts a sentence and returns similar sentences.

How to build an AI Product (4) - Efficiently Searching Vector Spaces with Annoy

nter Annoy (Approximate Nearest Neighbors Oh Yeah) – a powerful library designed for fast approximate nearest neighbor search.

How to build an AI product - (3) Exploring the World of Embedding Models for Diverse Tasks

Over the years, a plethora of embedding models have been designed, each fine-tuned for specific tasks. Let’s embark on a journey exploring these models, with a particular focus on the offerings from the Sentence Transformers library.

How to build an AI product - (2) Dive into Text Embeddings using Sentence Transformers and kNN

Let's dive deeper into the realm of text embeddings. Text embeddings transform human-readable content into numerical vectors, making them palatable for machine learning models.

How to build an AI product - (1) Finding Interesting Datasets and Document Collection

The quality and relevance of datasets are paramount in building effective AI models. In this post, we will dive into some unique and fascinating datasets that can set the foundation for intriguing AI applications.

Why Every Chemistry Graduate and Biotech Major Should Learn Python and the RDKit Library

Why Every Chemistry Graduate and Biotech Major Should Learn Python and the RDKit Library

Introduction We've entered an age where the barriers between science and technology are becoming increasingly blurred. Artificial intelligence (AI) is finding its way into various sectors, including the world of chemistry and biotechnology. Python, a universally applauded programming language, has become the lingua franca of scientific computing. For

How to Use Prompting Techniques to Improve Outputs from Large Language Models

How to Use Prompting Techniques to Improve Outputs from Large Language Models

Prompting is the technique of presenting a concise piece of text or information to LLMs to instruct them on the task at hand. By adequately feeding the LLMs information about the task, input data, and contextual specifics, we can guide their output towards the desired result.