Small Language Models (SLMs)
Issue #92 | Jan 31st, 2025
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Hello!!
Welcome to the new edition of Business Analytics Review!
Recently Chinese artificial intelligence company, DeepSeek, released its latest AI models, DeepSeek-V3, R1, & R1-Zero which costed company a fraction of what it costs other AI companies resulting in one of the biggest stock market wipeout with nearly $1 trillion gone in a day. In today’s edition, we are going to discuss about the model the company leveraged to shock the AI world, Small Language Models (SLMs).
Small Language Models (SLMs) are a specialized category of artificial intelligence (AI) designed for processing and generating human language. They are characterized by their relatively small number of parameters, typically ranging from a few million to a few billion, in contrast to Large Language Models (LLMs), which can have hundreds of billions or even trillions of parameters.
Key Features of Small Language Models
Compact Architecture:
SLMs use smaller transformer architectures, enabling efficient operation on limited hardware, reducing deployment costs and maintenance
Efficiency and Specialization:
Fine-tuned on specific datasets, SLMs excel in targeted applications like customer service and sentiment analysis for precise insightsCost-Effectiveness:
Training and deploying SLMs require fewer resources, making them ideal for smaller enterprises needing effective AI solutions economicallyEnhanced Security and Privacy:
SLMs can be deployed locally, ensuring sensitive data remains secure, crucial for industries like finance and healthcareRapid Deployment and Adaptability:
SLMs enable faster training and deployment, allowing organizations to quickly implement AI solutions that adapt to evolving needs
Recommended Reads on Small Language Models
What are small language models?
Small Language Models (SLMs) are efficient, compact AI tools for natural language processing, suitable for resource-constrained environments and various applications
Small Language Models: SLM vs LLM
SLMs are smaller, efficient models for specific tasks, while LLMs are larger, versatile models excelling in complex language understanding
Trending in Business Analytics
Let’s catch up on some of the latest happenings in the world of Business Analytics:
OpenAI launched ChatGPT Gov to enhance U.S. government efficiency and productivity, ensuring secure access to AI tools for public service
Alibaba releases AI model it says surpasses DeepSeek
Alibaba launched Qwen 2.5, claiming it surpasses DeepSeek-V3 and OpenAI's models, amid growing competition in the AI sector
DeepSeek R1 is now available on Azure AI Foundry and GitHub
DeepSeek R1 is now available on Azure AI Foundry and GitHub, offering businesses a powerful, cost-efficient AI model for integration
Tool of the Day: DeepSeek
DeepSeek employs advanced techniques to enhance natural language understanding and generation. Its models, particularly DeepSeek-R1, utilize a Mixture-of-Experts (MoE) architecture, activating relevant computational resources for specific tasks, which improves efficiency. The platform's focus on reasoning and complex problem-solving positions it as a competitive alternative in the AI landscape, particularly for organizations seeking cost-effective language processing solutions. Learn More
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Enroll in this highly insightful bootcamp for $440. Enroll Here
But since you are a reader of Business Analytics Review, we offer you a special price of $115 ( a whooping seventy four percent discount ).
Bootcamp starts TOMORROW , so enroll now !!!