LLMs as Judges: Revolutionizing AI Evaluation, AI ChecklistLarge Language Models (LLMs) have demonstrated remarkable capabilities in understanding and generating human-like text. Now, researchers…Nov 8Nov 8
Parameter-efficient fine-tuning (PEFT) and how it's different from fine-tuning.Fine-tuning, parameter-efficient fine-tuning (PEFT), and prompt tuning are all techniques used to adapt pre-trained language models for…Jul 28Jul 28
How do skip connections impact the training process of neural networks?Skip connections, also known as residual connections, have a significant impact on the training process of neural networks. Here are the…Jul 21Jul 21
Are Skip Connections always good?Skip connections, also known as residual connections, are a fundamental component in modern deep neural networks, particularly in…Jul 21Jul 21
Benchmarking LLMs: Exploring Tasks and DatasetsLarge Language Models (LLMs) like OpenAI’s GPT-3 and its successors have revolutionized the field of natural language processing (NLP)…Mar 29Mar 29
The Rise of LoRA: A Game-Changer in Parameter-Efficient Fine-TuningAs large language models (LLMs) continue to grow in size, reaching billions of parameters, the task of fine-tuning these models on…Mar 231Mar 231
Published inExpedia Group TechnologyImage Super-Resolution Using Attentional GAN at Expedia GroupAn efficient machine learning solution to upscale images preserving the image qualityDec 12, 20191Dec 12, 20191
