Artificial intelligence (AI) has introduced a dynamic shift in various sectors, most notably by deploying autonomous agents capable of independent operation and decision-making. These agents, powered by large language models (LLMs), have significantly broadened the...

Hiring human annotators was a time-consuming and expensive technique traditionally used to create datasets for supervised fine-tuning and instruction-tuning. Due to the high cost, only a select few influential people in the area were able to create such comprehensive...

With the recent advancements in the field of Machine Learning (ML), Reinforcement Learning (RL), which is one of its branches, has become significantly popular. In RL, an agent picks up skills to interact with its surroundings by acting in a way that maximizes the sum...

LLMs have shown remarkable capabilities but are often too large for consumer devices. Smaller models are trained alongside larger ones, or compression techniques are applied to make them more efficient. While compressing models can significantly speed up inference...

Accessing and utilizing computer capabilities efficiently is crucial in today’s fast-paced digital world. However, many existing solutions have limitations, such as restricted internet access, limited pre-installed packages, and strict runtime constraints. These...

Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. With such widespread adoption, feeling left out of this revolution is not uncommon....