Nikita ParatePrompt Caching in LLM SystemsTable of Contents: - Caching Strategy - How Prompt Caching Works? - What can be cached? - Pricing and Cost - Where prompt caching is…Aug 31Aug 31
Nikita ParateJoint Representation Learning Vs Coordinated Learning in Multimodal ContextTable of Contents: - Joint Representation Learning - Coordinated Learning - When to use? Joint Representation Learning vs Coordinated…Aug 12Aug 12
Nikita ParateActive Learning in Machine LearningTraining an ML model requires not just data, but better data. To get clean data, we often have to use human annotations. These human…Jul 30Jul 30
Nikita ParateTop 5 Supercomputers of the World as of July 2024In today’s digital age, supercomputers are at the forefront of scientific and technological advancements. They solve complex problems in…Jul 9Jul 9
Nikita ParateUnderstanding Knowledge Distillation: In Simple TermsKnowledge distillation extracts knowledge from a larger deep neural network into a small network. The larger model is called as Teacher and…Feb 24Feb 24
Nikita ParateIn-Context Learning Strategies: Beyond Traditional ApproachesIn-context learning revolutionizes model adaptation by tailoring weights to task-specific labels, minimizing reliance on large datasets…Nov 19, 2023Nov 19, 2023
Nikita ParateThe Power of Diffusion Models: Exploring Mechanisms, and Real-Life ApplicationsImagine computers turning noise into something cool. This is what diffusion models do. They make use of noise to create amazing wonders…Aug 29, 2023Aug 29, 2023
Nikita ParateA Comprehensive Guide to Explainable AI (XAI): Concepts, Interpretability and MethodsThe concept Explainable AI (XAI) was created in 2004 to characterize the system’s capacity to explain the actions of AI-controlled units in…Aug 26, 20231Aug 26, 20231
Nikita ParatePros and Cons of Using Large Language Models for NLP ApplicationsIn the realm of Natural Language Processing (NLP), Large Language Models (LLMs) have emerged as game-changers, wielding immense potential…Aug 3, 2023Aug 3, 2023
Nikita ParateOpen Problems in Graph Neural NetworksThe term graph neural network may seem apprehensive. But in a simple way, it can be explained as a neural network that is operated on a…Jan 5, 2022Jan 5, 2022
