Category: LLM
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Nvidia Introduces VILA: Visual Language Intelligence and Edge AI 2.0
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in AI, Applications, Artificial Intelligence, Edge AI 2.0, Guide, images, Intermediate, IOT, language models, LLM, LLMs, Models, NVIDIA, training, VILA, visual modelIntroduction Visual Language Models (VLMs) are revolutionizing the way machines comprehend and interact with both images and text. These models skillfully combine techniques from image processing with the subtleties of language comprehension. This integration enhances the capabilities of artificial intelligence (AI). Nvidia and MIT have recently launched a VLM named VILA, enhancing the capabilities of…
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Advanced RAG Technique : Langchain ReAct and Cohere
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in API, blogathon, framework, Generative AI, Guide, Intermediate, langchaian, Langchain, Large Language Models, LLM, LLMs, Models, Python, query, strategy, vectorIntroduction This article explores Adaptive Question-Answering (QA) frameworks, specifically the Adaptive RAG strategy. It discusses how this framework dynamically selects the most suitable method for large language models (LLMs) based on query complexity. It highlights the learning objectives, features, and implementation of Adaptive RAG, its efficiency, and its integration with Langchain and Cohere LLM. The…
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Paramanu-Ganita: A New Mathematical Model that Outperforms LLaMa, Falcon, and PaLM
Introduction Large language models (LLMs) have dramatically reshaped computational mathematics. These advanced AI systems, designed to process and mimic human-like text, are now pushing boundaries in mathematical fields. Their ability to understand and manipulate complex concepts has made them invaluable in research and development. Among these innovations stands Paramanu-Ganita, a creation of Gyan AI Research.…
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Finetuning Llama 3 with Odds Ratio Preference Optimization
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Introduction Large Language Models are often trained rather than built, requiring multiple steps to perform well. These steps, including Supervised Fine Tuning (SFT) and Preference Alignment, are crucial for learning new things and aligning with human responses. However, each step takes a significant amount of time and computing resources. One solution is the Odd Ratio…
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Phi 3 – Small Yet Powerful Models from Microsoft
Introduction The Phi model from Microsoft has been at the forefront of many open-source Large Language Models. Phi architecture has led to all the popular small open-source models that we see today which include TPhixtral, Phi-DPO, and others. Their Phi Family has taken the LLM architecture a step forward with the introduction of Small Language…
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RAG and Streamlit Chatbot: Chat with Documents Using LLM
Introduction This article aims to create an AI-powered RAG and Streamlit chatbot that can answer users questions based on custom documents. Users can upload documents, and the chatbot can answer questions by referring to those documents. The interface will be generated using Streamlit, and the chatbot will use open-source Large Language Model (LLM) models, making…