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Long Context LLM Comparison
A “long context LLM” typically refers to a large language model that is capable of processing and remembering extended pieces of text or conversation history. This feature allows the LLM to maintain continuity and coherence over longer interactions, making it particularly useful for tasks that require understanding context over extended dialogues or documents. Here’s how…
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Long Context LLM’s vs RAG
Retrieval-Augmented Generation. It is a method that combines the strengths of retrieval-based models and generative models to improve the performance and accuracy of AI systems, particularly in natural language processing tasks. How RAG Works: Applications: RAG models help in grounding the limitations of generative AI and removing the hallucinations from the responses. Why We Needed…
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AWS Sagemaker Jumpstart and AWS Bedrock Choosing the Right AI Tool for Your Needs
As artificial intelligence continues to revolutionize industries, Amazon Web Services (AWS) offers two powerful tools for businesses looking to leverage AI capabilities: Amazon SageMaker JumpStart and Amazon Bedrock. While both services aim to simplify AI adoption, they cater to different needs and use cases. In this post, we’ll explore the key differences between these two…
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Analyzing Wikipedia Articles with Langchain and OpenAI in Databricks
This blog post will walk you through a project aimed at categorizing Wikipedia articles using OpenAI’s language model integrated into a Databricks notebook. We’ll cover the installation of necessary packages, dataset loading, and the categorization process. Prerequisites Step-by-Step Guide 1. Install Necessary Packages First, we need to install the required libraries, langchain_openai and langchain_core. 2.…
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RAG: Retrieval-Augmented Generation.
RAG typically stands for Retrieval-Augmented Generation. It’s a technique used in natural language processing and artificial intelligence that combines information retrieval with text generation. What RAG Here’s a brief overview: Why RAG RAG (Retrieval-Augmented Generation) was developed to address several key challenges in AI and natural language processing: RAG is particularly useful because it allows…
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Unleash Your Creativity with Ideogram AI: The Future of AI-Powered Art Generation
Ideogram AI: Unleashing Creativity with Generative AI Ideogram AI is an exciting new generative AI startup that is reinventing visual creativity. Founded in August 2023 by former Google Brain engineers, Ideogram has raised $16.5 million in seed funding for its mission to democratize art generation using AI. So what exactly does Ideogram AI do? In…
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DALL-E 2: Pushing the Boundaries of AI Image Generation
DALL-E 2 represents a significant leap forward in AI’s ability to generate realistic and creative images simply from text descriptions. Developed by research company OpenAI, DALL-E 2 builds on its predecessor DALL-E but generates higher resolution images and has greater compositional skills. Announced in April 2022, DALL-E 2 quickly attracted widespread attention for its uncanny…
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The Rise of Creative Generative AI
Let’s Break these terms Down a little bit Generative AI is emerging as one of the most promising and rapidly evolving fields in artificial intelligence. In simple terms, generative AI refers to machine learning models that can generate new content like images, videos, text, and more from scratch. Over the past few years, we’ve seen…
