by | Mar 28, 2024 | Uncategorized
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...
by | Mar 28, 2024 | Uncategorized
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...
by | Mar 28, 2024 | Uncategorized
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...
by | Mar 28, 2024 | Uncategorized
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...
by | Mar 28, 2024 | Uncategorized
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....
by | Mar 28, 2024 | Uncategorized
In machine learning, one method that has consistently demonstrated its worth across various applications is the Support Vector Machine (SVM). Known for its adeptness at parsing through high-dimensional spaces, SVM is designed to draw an optimal dividing line, or...
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