F22 Labs

Data ingestion is the process of obtaining and importing data for immediate use or storage in a database. It involves collecting data from various sources, such as applications, files, or external systems, and moving it to a target destination where it can be stored, processed, and analyzed. This crucial step

Data augmentation is a powerful technique in machine learning that involves creating modified versions of existing data to expand training datasets. It's a method to augment data without altering its core meaning or label, helping models learn more robust features and improve generalization. This technique is widely used

Vector databases are designed to handle complex, high-dimensional data by efficiently storing and querying large collections of vectors—numerical representations of data points. This capability is essential in modern AI and machine learning applications, where tasks such as recommendation systems, image recognition, and natural language processing require advanced data management

TensorFlow and PyTorch are leading deep learning frameworks with unique features. This blog compares their learning curves, flexibility, debugging, and deployment options to help you choose the best fit for your projects. This comparison will highlight the key differences between PyTorch and TensorFlow, helping you understand their unique strengths and

Function calling with Large Language Models (LLMs) is a technique that enhances the capabilities of AI systems by allowing them to interact with external functions or tools. This approach enables LLMs to recognise when specific functions are needed to complete a task and to generate appropriate inputs for those functions.

Prompting in AI involves crafting inputs that shape model responses, significantly influencing output quality. Direct prompts provide straightforward questions for specific answers, while few-shot prompting offers examples to guide tone and style.  Zero-shot prompting relies solely on the model's knowledge without prior examples. Chain-of-thought prompting encourages step-by-step reasoning