Remove category generative-ai
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Transformer models: A guide to understanding different transformer architectures and their uses

Data Science Dojo

While we have talked about the details of a typical transformer architecture, in this blog we will explore the different types of the models. The very common model types under this category include encoder-only, decoder-only, and encoder-decoder transformers. This presents a general outlook on classifying transformer models.

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Toolify review: The popular AI tools directory

Dataconomy

Toolify is the largest AI tools directory and marketplace, featuring over 9900 AI-powered tools across 233 categories. It aims to be the definitive resource for discovering and evaluating the top emerging AI tools across a diverse range of functions. This expands the content variety and improves clarity.

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Exploring Anthropic’s Claude 3 and its Position Among the Leading AI Chatbots

Data Science Dojo

AI chatbots are transforming the digital world with increased efficiency, personalized interaction, and useful data insights. While Open AI’s GPT and Google’s Gemini are already transforming modern business interactions, Anthropic AI recently launched its newest addition, Claude 3. What is Claude 3?

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Comprehensive Guide: Top Computer Vision Resources All in One Blog

Mlearning.ai

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. Also, they will show you how huge this domain is. ★ Roboflow : [Again !!!!]

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RAG and finetuning: A comprehensive guide to understanding the two approaches

Data Science Dojo

This is the first blog in the series of RAG and finetuning, focusing on providing a better understanding of the two approaches. But what do they really mean, and why are they so crucial in the evolution of AI? On the other hand, fine-tuning offers a way to specialize a general AI model for specific tasks or knowledge domains.

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Expanding on ethical considerations of foundation models

IBM Journey to AI blog

The rise of foundation models that power the growth of generative AI and other AI use cases offers exciting possibilities—yet it also raises new questions and concerns about their ethical design, development, deployment, and use. Known risks from prior or earlier forms of AI systems.

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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning Blog

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

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