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Posts
Understanding Fine-Tuning: How AI Models Get Tailored f...
Most companies integrating AI into their business rely on general purpose models...
Understanding RGB, YCbCr and Lab Color Spaces
Color spaces are essential in digital imaging and computer graphics, as they pro...
A Beginner’s Guide to Building a Basic Fraud Detection ...
The truth about being a data scientist is that your relevance often hinges on wo...
How Do We Measure Large Language Model Performance? The...
When it comes to large language models (LLMs) like GPT and BERT, we often hear t...
Technique Which Activation Function We Should Use
Choosing the right activation function can significantly impact the performance ...
Python Decorators 101: 7 Examples That Will Make Your C...
Discover the magic of decorators for adding functionality to your functions and ...
Snapdragon X Elite: A Game-Changer for TensorFlow Devel...
In the ever-evolving landscape of AI development, Qualcomm’s latest Snapdragon X...
Are you exploring beyond the hype LLMs?
(there’s a whole world to be discovered)Continue reading on Product Delights blog »
Leveraging AI for Job Seeking: Build a Comprehensive Re...
In today’s competitive job market, standing out from the crowd is critical. With...
M-RewardBench: A Multilingual Approach to Reward Model ...
Large language models (LLMs) have transformed fields ranging from customer servi...
SPARE: Training-Free Representation Engineering for Man...
Large Language Models (LLMs) have demonstrated impressive capabilities in handli...
Meet mcdse-2b-v1: A New Performant, Scalable and Effici...
The rise of the information era has brought an overwhelming amount of data in va...
Meta AI Silently Releases NotebookLlama: An Open Versio...
Meta has recently released NotebookLlama, an open version of Google’s NotebookLM...
Microsoft Asia Research Introduces SPEED: An AI Framewo...
Text embedding, a central focus within natural language processing (NLP), transf...
ConceptDrift: An AI Method to Identify Biases Using a W...
Datasets and pre-trained models come with intrinsic biases. Most methods rely on...
Researchers at the Ohio State University Introduce Famb...
The efficient training of vision models is still a major challenge in AI because...