Marco-o1 vs Llama 3.2: Which is Better?
OpenAI’s o1 model has generated considerable excitement in the field of large reasoning models (LRMs) due to its advanced capabilities ...
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Dynamic Prompt Adaptation in Generative Models
In the last few years, generative models have become transformative tools in ai industry, enabling text generation, image synthesis, and ...
Object detection with TensorFlow
Object detection is fundamental in artificial intelligence and serves as the backbone of numerous cutting-edge applications. From autonomous vehicles and ...
Corrective RAG (CRAG) in Action
Retrieval-Augmented Generation is a technique that enhances the capabilities of large language models by integrating information retrieval processes into their ...
What is Mixture of Experts Models (MoE)?
The emergence of Mixture of Experts (MoE) architectures has revolutionized the landscape of large language models (LLMs) by enhancing their ...
Transforming AI with Action-Driven Systems
artificial intelligence has seen some tremendous breakthroughs-from natural language processing models like GPT to the more advanced image-generation systems like ...
Scene text recognition using vision-based text recognition
Scene Text Recognition (STR) continues to challenge researchers due to the diversity of text occurrences in natural environments. It is ...
PaliGemma 2: Redefining Vision-Language Models
Imagine the power of seamlessly combining visual perception and language understanding into a single model. This is precisely what PaliGemma ...
Protect your API keys in Google Colab
Working with APIs in Google Colab is common practice for data scientists, researchers, and developers. However, handling API keys, which ...
TensorFlow Lite vs PyTorch Mobile
In the recent world of technology development and machine learning it’s no longer confined in the micro cloud but in ...
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