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The Magic of Controlling Language Models: A Journey Through the Hidden World of AI
Once upon a time in the magical land of science and technology, two brilliant scientists named Aman and Cameron embarked on a fascinating journey. They wanted to understand how big language models, like the ones used in smart assistants and chatbots, could be controlled. Their quest led them to write an amazing paper called “What’s Continue reading
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Building an AI-Driven Document Query Assistant: Using Non-OpenAI’s Embed Model
Yesterday, I published a blog post detailing the process of creating an Building an AI-Driven Document Query Assistant: A Step-by-Step Python Tutorial. However, upon further reflection, I realized that utilizing this assistant with a sizable dataset could prove costly due to its reliance on OpenAI’s embed model. To address this, I’ve reconfigured the code to Continue reading
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The Necessity and Future of Tokenization in Large Language Models
Large Language Models (LLMs) such as GPT-3, BERT, and GPT-4 represent a significant advancement in the field of natural language processing (NLP). These models are designed to understand and generate human-like text, enabling a wide range of applications from chatbots and virtual assistants to automated content creation and language translation. However, for LLMs to process Continue reading
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How AI Models Like GPT-4o Can Rapidly Process Video Content
In today’s digital age, video content is ubiquitous, spanning platforms from YouTube to corporate training videos. For humans, absorbing video content takes time and cognitive effort, often limited by our ability to process information at a natural pace. However, AI models, particularly those like GPT-4o with multimodal capabilities, can process video content much faster and Continue reading
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Comparing GPT-3.5 Turbo and GPT-4o Models in Fabric’s Analyze_Paper Pattern
The emergence of sophisticated AI models has led to significant advancements in natural language processing tasks. One such application is the analysis of dense technical documents, a task particularly relevant in academic and research settings. In this comparison, we evaluate the performance of two prominent AI models, GPT-3.5 Turbo and GPT-4o, within the Fabric framework’s Continue reading
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Unveiling the Future of Computing: A Glimpse into Anthropic’s AI Advancements
In the ever-evolving landscape of computing, one company stands out for its groundbreaking work in artificial intelligence (AI) and machine learning – Anthropic. Founded by the brilliant mind of Claude, Anthropic has been making waves with its cutting-edge AI technologies that push the boundaries of what is possible in the realm of computing. At the Continue reading
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