Artificial intelligence has come a long way since OpenAI’s first GPT model, revolutionizing industries with its ability to generate human-like text. In 2023, the global AI market was valued at USD 196.63 billion and is projected to grow at a CAGR of 36.6% by 2030. Now, with the introduction of ChatGPT o1- Preview vs o1-Mini, OpenAI is pushing boundaries further,
What if you could achieve the same results as massive AI models, but with a fraction of the cost and computational power? That’s exactly what Small Language Models (SLMs) are doing. While Large Language Models like GPT-4 dominate the conversation with their billions of parameters, SLMs are quietly proving their value. SLMs can handle specific tasks with far less computational
Parameter-efficient Fine-tuning (PEFT) is an NLP technique designed to enhance the performance of pre-trained language models for specific tasks without needing to fine-tune all the model’s parameters. This approach optimizes resource usage while delivering high accuracy on targeted applications. Fine-tuning an LLM like GPT-4 can require terabytes of data and extensive computational power, making it both costly and resource-intensive. Parameter-Efficient
Setting up Data Destination with Data Analytics Integration Solutions
Why Manual Processes are Holding Your Business Back! 🚫✨#Automation #businessgrowth
Elevating Business Performance with Real-time Analytics
From Excel to PDF: Automap Data Instantly with FLIP |AI|
FLIP Demo: Transform Data Queries with Ask AI
Transforming Operational Efficiency with Real-time Data Processing
Optimizing Costs with AI Implementation in Shipping
Revolutionizing Data Governance for a Leading Bank with Microsoft Purview
Mastering Data Governance with Microsoft Purview with Advanced Implementation Strategies
Kanerika is a leading provider of end-to-end AI, Analytics, and Automation solutions with years of implementation expertize.
Subscribe for the latest updates.
Services
Business Functions
Industries
Company
© 2024 Copyright. All rights reserved
