Remove 12 top-generative-ai-libraries
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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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The Top Large Language Models of 2023, 8 Python Libraries You Should be Using, and Why You Need an…

ODSC - Open Data Science

The Top Large Language Models of 2023, 8 Python Libraries You Should be Using, and Why You Need an Observability Platform The Top Large Language Models Going Into 2024 Let’s explore the top large language models that made waves in 2023, and see why you should be using these LLMs in 2024. Register here!

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Fine-Tuning LLMs, Anomaly Detection for CRM Data, and the History of Gaming and AI

ODSC - Open Data Science

Fine-tuning LLMs on Slack Messages Fine-tuning large language models is super easy, thanks to HuggingFace’s libraries. This tutorial walks you through adapting a pre-trained model to generate text that emulates chat conversations from a Slack channel. Introducing the free ODSC West Open Pass Introducing ODSC West’s Open Pass!

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Optimize AWS Inferentia utilization with FastAPI and PyTorch models on Amazon EC2 Inf1 & Inf2 instances

AWS Machine Learning Blog

These web servers provide and abstraction layer on top of the underlying Machine Learning (ML) model. xlarge 1 2 4 32 Inf2.8xlarge 1 2 32 32 Inf2.24xlarge 6 12 96 192 Inf2.48xlarge 12 24 192 384 Inf2 instances contain the new NeuronCores-v2 in comparison to the NeuronCore-v1 in the Inf1 instances. 3 Inf1.24xlarge 16 64 1.5

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The executive’s guide to generative AI for sustainability

AWS Machine Learning Blog

This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A roadmap to generative AI for sustainability In the sections that follow, we provide a roadmap for integrating generative AI into sustainability initiatives 1.

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Real-Real-World Programming with ChatGPT

O'Reilly Media

If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. Setting the Stage: Who Am I and What Am I Trying to Build?

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Foundation models: a guide

Snorkel AI

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy.