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Showing posts with the label large language models

DeepSeek: Coming in from Left Field

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DeepSeek: Coming in from Left Field In the fast-paced world of artificial intelligence, large language models (LLMs) have become the driving force behind innovation. While industry giants like OpenAI’s GPT, Google’s Bard, and Anthropic’s Claude dominate the conversation, a new player has emerged from left field: DeepSeek . This isn’t just another LLM—it’s a revolutionary model that challenges the status quo with its unique innovations and impressive performance metrics. DeepSeek is more than a competitor; it’s a disruptor. With its groundbreaking features and real-world applications, it’s poised to shake up the AI landscape and pose a serious threat to the established leaders. In this blog post, we’ll explore DeepSeek’s key performance indicators (KPIs) , its unique innovations, and why it’s a force to be reckoned with. DeepSeek’s Key Performance Indicators (KPIs) To understand why DeepSeek is making waves, let’s look at its key performance metrics: Accuracy : DeepSeek con...

Which LLM to Use? What You Need to Know

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Which LLM to Use? What You Need to Know Introduction to Large Language Models (LLMs) Large Language Models (LLMs) have evolved rapidly, transitioning from research projects to essential tools across multiple industries. They now handle a wide range of tasks, from content generation to answering complex queries, with remarkable accuracy. However, not all LLMs are created equal. Each model offers unique strengths, limitations, and specialized use cases, making it crucial to choose the right one for your needs. This guide covers essential considerations for selecting an LLM, popular options available today—including GPT-4, Claude, Google Bard, Perplexity, and more—and factors to evaluate before deciding on the ideal model. ** ** ** * ** Check out our  2024 HOLIDAY CATALOG  here ** ** ** ** ** Understanding LLM Capabilities and Limitations Before selecting an LLM, it is important to understand what these models can and cannot do. LLMs excel in tasks that require language-based pro...