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Difference Between Large Language Model & Small Language Model11/11/2024 6:01:01 AM. Large and small language models differ primarily in scale, resources, and use cases. Large models, with billions of parameters, excel in generalization and diverse tasks but require significant comput
Introduction to Semantic Kernel SDK and Azure OpenAI10/28/2024 4:50:31 AM. Introduction to Semantic Kernel SDK and Azure OpenAI.
What are Personal Language Models?9/23/2024 11:50:20 AM. Personal Language Models are AI-driven tools tailored to individual needs, enabling personalized interactions and content generation. These models adapt to user preferences, offering customized assist
Private Specialized Small Language Model (SLM) Architecture9/10/2024 9:59:54 AM. In this article, we will explore the architecture of Private Specialized Small Language Models (SLMs), focusing on custom, secure, and efficient designs tailored for specific domains.
What are small language models (SLM) in AI?8/12/2024 8:40:23 AM. This article explains what a small language model (SLM) is, what are its benefits, and when and why companies should create and implement their own SLMs.
How GEN AI and LLM Chatbots Work with Enterprise Data8/5/2024 4:03:27 AM. Learn how these advanced AI technologies enhance data integration, streamline operations, and drive business intelligence, providing innovative solutions for modern enterprises.
AI capabilities before and after LLM: What is LLM? 7/19/2024 8:18:48 AM. This content delves into how LLMs have transformed machine learning and natural language processing, comparing pre-LLM AI advancements with the new benchmarks set by these powerful models.
Efficiency in Small Language Models: Foundations and Power by John Godel6/24/2024 9:05:14 AM. Explore the cutting-edge realm of small language models with John Godel's comprehensive analysis in "Next Step of Efficiency." Delve into the mathematical underpinnings and algorithmic p
The Emergence of Small Langugage Models (SLM) - A Game Changer6/22/2024 10:28:12 AM. In this article, we will explore the significance and applications of small language models, examine the pros and cons of SLMs, and discuss the Phi-3 family along with its key features
Training Large Language Models & Small Language Models Using C#6/20/2024 9:02:17 AM. Training Large Language Models (LLM) and Small Language Models (SLM) Using C# by John Godel" delves into advanced techniques for developing and optimizing AI language models.
The Rise of Small Language Models6/19/2024 10:21:50 AM. Rise of Small Language Models" explores the increasing prominence of compact AI models in natural language processing (NLP). These models offer efficient, scalable solutions for language tasks, b
An Insightful Perspective on Artificial Intelligence6/19/2024 6:06:49 AM. Artificial Intelligence (AI) encompasses a wide spectrum of technologies and approaches that aim to mimic or replicate human cognitive functions. John Godel, CEO of AlpineGate AI Technologies, offers
Unlock Small Language Models Deep Dive Parameters Loss Optimization RAG6/17/2024 10:42:17 AM. Language models have revolutionized the field of natural language processing (NLP), enabling machines to understand, generate, and respond to human language with remarkable accuracy. At the heart of t
What Are Small Language Models?6/13/2024 10:40:36 AM. Explore the rise of small language models (SLMs) in AI, offering efficiency and cost-effectiveness. Despite fewer parameters, SLMs like DistilBERT and TinyBERT excel in chatbots, content generation, a
RAG Fine Tuning and RAFT Explained 6/4/2024 5:34:14 AM. In the realm of large language models (LLMs), techniques like in-context learning (ICL), retrieval augmented generation (RAG), fine-tuning, and retrieval augmented fine-tuning (RAFT) are revolutionizi
Comparison Between ChatGPT-4o and Gemini 1.5 Flash5/22/2024 4:28:21 AM. A detailed comparison of ChatGPT-4.o and Gemini 1.5 Flash, exploring their features, performance, and applications in AI language processing.
Understanding the Essence of Natural Language Processing5/17/2024 6:55:21 AM. In this article we explore the intricacies of NLP workloads, highlighting key features such as Key Phrase Extraction, Entity Recognition, Sentiment Analysis, Language Modeling, Speech Recognition and
What is Prompt Engineering and Why Do We Care?3/10/2024 9:45:39 AM. Learn about Prompt Engineering and its role in optimizing AI interaction, enabling users to leverage the full potential of advanced language models.
Future of Large Language Models (LLMs)9/26/2023 10:19:07 AM. In this article, we will learn about the future of Large Language Models (LLMs).
What is a Large Language Model (LLM)?8/28/2023 4:09:44 AM. At the heart of LLMs lies a sophisticated architecture that allows computers to comprehend, generate, and manipulate human language. These models are pre-trained on vast text corpora, learning the int
Getting Started With Microsoft Azure Cognitive Services - Web Language Model API11/3/2016 11:17:46 AM. In this article, you will learn how to get started with Microsoft Azure Cognitive Services Web Language Model API.
How To Create Microsoft Cognitive Service Web Language Model API On Azure Portal11/1/2016 7:26:52 PM. In this article, we will learn how to create Microsoft Cognitive Service Web Language Model API in Azure Portal.
QuickModeler 2.0 : A Reverse Engineering Tool for Visual Studio .NET10/26/2006 1:07:55 AM. QuickModeler is an Add-In for Visual Studio .NET which provides reverse engineering and easy UML modeling functionality to the development environment. It comprises features like autolayout, inheritance and association modeling, cross language modeling, grid, clipboard, etc.

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