Oct 3Member-onlyHow Open AI models efficiently manage finetuned models of millions of customersGPU hardware is really expensive. OpenAI pricing model is based on model usage. One GPU cluster per customer. Thousand of customers doing fine tuning means thousands of clusters for fine tuning. What if models are trained by customers and not used. How does open ai then make money. Open AI…Llm1 min readLlm1 min read
Sep 20Member-onlyDifference between Gen AI RAG BOT based on LLM and fine tuned LLMVanilla Usage: Chat GPT , BARD from Google that are freely available for users across the world. Millions use them for their day to day queries Q/A. Create your own BOT to decipher knowledge from huge datasets/documents: Typically small scale Chat Bot Document based knowledge retrieval Q/A use cases can…Llm3 min readLlm3 min read
Jun 7Member-onlyMetaData is context associated with DataReplicating raw Transaction Data to cloud is most prevalent practice in organizations that embarked on Data Driven Organization journeys. The replicated data is transformed and made analytical user ready so that meaningful insights, Business Intelligence report or AI /ML model can be generated. When a transaction ERP system generates Data…Machine Learning2 min readMachine Learning2 min read
May 29Member-onlyIntegration frameworks for Data Management in GCPVarious scenarios of integration Within a GCP project Single process, Single Service or Single Job use GCP cloud scheduler Integration of Multi services , processes, multiple jobs , use GCP…Data Science1 min readData Science1 min read
May 27Member-onlyMLops with KubeflowMachine learning has been one of the most rapidly evolving technologies in recent times. As businesses realize the potential of machine learning models to gain valuable insights, they also need MLops strategies to streamline their entire deployment process and build robust pipelines for delivering machine learning models into production. …Artificial Intelligence4 min readArtificial Intelligence4 min read
May 27Member-onlyData Sharing using Replication and Virtualization in Data MeshAs enterprises continue to deal with massive amounts of data, they are realizing the limitations of traditional centralized data architectures. These limitations have paved the way for innovative solutions like Data Mesh, which is gaining popularity in the world of data management. Data Managment is crucial while Data sharing. Data…Data Science4 min readData Science4 min read
May 27Member-onlyData Management Automation by Cloud Providers# Data Catalog by Cloud Providers Zeta bytes of data are being generated every day and managing this vast amount of information is a critical challenge faced by businesses across the globe. …Data Science2 min readData Science2 min read
May 27Member-onlyCloud and AI synergy# Cloud and AI Synergy The synergy between cloud computing and AI has been a crucial factor in the proliferation of AI technologies in recent years. With the unlimited storage and processing power of the cloud, AI developers have been able to create more sophisticated and complex models that can…Artificial Intelligence11 min readArtificial Intelligence11 min read
May 27Member-onlyRecommendation Models for RetailRecommendation Models for Retail In retail when a customer visits a website he search for his items among millions of options and clicks buy for few of them There is pattern in which customers search, buys or returns Sampling of items bought by set of customers is called positive sampling…Data Science6 min readData Science6 min read
May 26Member-onlyHow was GPT 3 trained by OpenAI? How to train GPT 3 on Data, content specific to my company?How was GPT 3 trained by OpenAI? How to train GPT 3 on Data, content specific to my company?Artificial Intelligence10 min readArtificial Intelligence10 min read
