Category: Large Language Models
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RAG Application with Cohere Command-R and Rerank – Part 1
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Introduction The Retrieval-Augmented Generation approach combines LLMs with a retrieval system to improve response quality. However, inaccurate retrieval can lead to sub-optimal responses. Cohere’s re-ranker model enhances this process by evaluating and ordering search results based on contextual relevance, improving accuracy and saving time for specific information seekers. This article provides a guide on implementing…
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A Beginner’s Guide to Evaluating RAG Pipelines Using RAGAS
Introduction In the ever-evolving landscape of machine learning and artificial intelligence, the development of language model applications, particularly Retrieval Augmented Generation (RAG) systems, is becoming increasingly sophisticated. However, the real challenge surfaces not during the initial creation but in the ongoing maintenance and enhancement of these applications. This is where RAGAS—an evaluation library dedicated to…
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Microsoft’s MAI-1: A New Competitor to AI Language Models from Google and OpenAI
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As the race for dominance in the AI landscape intensifies, Microsoft is stepping into the ring with its latest venture, MAI-1. This in-house AI model signals Microsoft’s determination to assert its presence alongside industry giants like Google and OpenAI. Boasting an impressive 500 billion parameters, this new model promises to take AI development a leap…
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NVIDIA’s Visual Language Model VILA Enhances Multimodal AI Capabilities
The artificial intelligence (AI) landscape continues to evolve, demanding models capable of handling vast datasets and delivering precise insights. Fulfilling these needs, researchers at NVIDIA and MIT have recently introduced a Visual Language Model (VLM), VILA. This new AI model stands out for its exceptional ability to reason among multiple images. Moreover, it facilitates in-context…
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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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Is Coding Dead? Google’s CodeGemma 1.1 7B Explained
Introduction CodeGemma 7B is a specialized open code model built on top of Gemma, a family of language models developed by Google DeepMind. It is designed for a variety of code and natural language generation tasks. The 7B model is part of the Gemma family and is further trained on more than 500 billion tokens…
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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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LLMs Exposed: Are They Just Cheating on Math Tests?
Introduction Large Language Models (LLMs) are advanced natural language processing models that have achieved remarkable success in various benchmarks for mathematical reasoning. These models are designed to process and understand human language, enabling them to perform tasks such as question answering, language translation, and text generation. LLMs are typically trained on large datasets scraped from…
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12 Top Features of Anthropic Claude iOS App and Claude AI Team Plan
Introduction Claude iOS App and Claude AI Team Plan are out for the public! Anthropic, the visionary company driving the evolution of AI with its formidable Claude 3 models, is making remarkable progress in democratizing access to artificial intelligence. Their latest endeavors include the launch of a groundbreaking iOS app for Claude and an innovative…
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10 Mind-blowing Use Cases of Llama 3
Introduction Since the release of Meta’s Llama 3, it has sparked a wave of excitement throughout the tech industry. Its capabilities extend far beyond what you might expect. Brought to you by Gradient with the invaluable support of compute resources from Crusoe Energy, I am thrilled to introduce the latest leap in AI innovation: Llama-3…
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30+ Free Generative AI Short Courses by Deeplearning.ai
Introduction Today Generative AI is the technology behind basically everything from creating realistic images to composing music and is rapidly transforming various fields. Wondering where to start with this cool technology? Or how to learn about it without spending too much time or signing up for long courses? If that’s you, you’ve found the right…
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Building Responsible AI with Guardrails AI
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in AI, API, Applications, ChatGPT, Github, Guide, Intermediate, language models, Large Language Models, LLMs, Models, Object, Python, validationIntroduction Large Language Models (LLMs) are ubiquitous in various applications such as chat applications, voice assistants, travel agents, and call centers. As new LLMs are released, they improve their response generation. However, people are increasingly using ChatGPT and other LLMs, which may provide prompts with personal identifiable information or toxic language. To protect against these…
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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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From GPT-4 to Llama 3 LMSYS Chatbot Arena Ranks Top LLMs
Introduction Every week, new and more advanced Large Language Models (LLMs) are released, each claiming to be better than the last. But how can we keep up with all these new developments? The answer is the LMSYS Chatbot Arena. The LMSYS Chatbot Arena is an innovative platform created by the Large Model Systems Organization, a…
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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…
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How to Transition your Career from Non Tech Field to Generative AI?
Introduction In today’s rapidly evolving world, the term ‘Generative AI’ is on everyone’s lips. Studies reveal that Generative AI is becoming indispensable in the workplace, with the market projected to reach $1.3 trillion by 2032. If you’ve been considering a career transition from a non-tech field to Generative AI, now is the time! This article explores the…
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Microsoft Phi 3 Mini: The Tiny Model That Runs on Your Phone
Introduction In the field of artificial intelligence (AI), there’s always been a belief that bigger is better. But Microsoft has just shaken things up with their latest creation, Phi-3-mini. It’s a small AI model that’s turning heads by showing that size isn’t everything. Despite being much smaller than its counterparts, Phi-3-mini can hold its own…