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AI21 Labs Jamba-Instruct model is now available in Amazon Bedrock Joshua Broyde AWS Machine Learning Blog

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​[[{“value”:” We are excited to announce the availability of the Jamba-Instruct large language model (LLM) in Amazon Bedrock. Jamba-Instruct is built by AI21 Labs, and most notably supports a 256,000-token context window, making it especially useful for processing large documents and complex Retrieval Augmented Generation… Read More »AI21 Labs Jamba-Instruct model is now available in Amazon Bedrock Joshua Broyde AWS Machine Learning Blog

Google Project Zero Introduces Naptime: An Architecture for Evaluating Offensive Security Capabilities of Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Exploring new frontiers in cybersecurity is essential as digital threats evolve. Traditional approaches, such as manual source code audits and reverse engineering, have been foundational in identifying vulnerabilities. Yet, the surge in the capabilities of Large Language Models (LLMs) presents a unique opportunity to… Read More »Google Project Zero Introduces Naptime: An Architecture for Evaluating Offensive Security Capabilities of Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

Scale and simplify ML workload monitoring on Amazon EKS with AWS Neuron Monitor container Niithiyn Vijeaswaran AWS Machine Learning Blog

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​[[{“value”:” Amazon Web Services is excited to announce the launch of the AWS Neuron Monitor container, an innovative tool designed to enhance the monitoring capabilities of AWS Inferentia and AWS Trainium chips on Amazon Elastic Kubernetes Service (Amazon EKS). This solution simplifies the integration of… Read More »Scale and simplify ML workload monitoring on Amazon EKS with AWS Neuron Monitor container Niithiyn Vijeaswaran AWS Machine Learning Blog

NuMind Releases NuExtract: A Lightweight Text-to-JSON LLM Specialized for the Task of Structured Extraction Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” NuMind introduces NuExtract, a cutting-edge text-to-JSON language model that represents a significant advancement in structured data extraction from text. This model aims to transform unstructured text into structured data highly efficiently. The innovative design and training methodologies used in NuExtract position it as a… Read More »NuMind Releases NuExtract: A Lightweight Text-to-JSON LLM Specialized for the Task of Structured Extraction Asif Razzaq Artificial Intelligence Category – MarkTechPost

Top Free AI Chatbots: The Best Free ChatGPT Alternatives Anish Singh Walia Becoming Human: Artificial Intelligence Magazine – Medium

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​I’ve tested dozens of AI chatbots since ChatGPT’s debut. Here’s my new top pickDesigned by Anish Singh Walia in Canva Since the launch of ChatGPT, AI chatbots have been all of the rage because of their ability to do a wide range of tasks that can help… Read More »Top Free AI Chatbots: The Best Free ChatGPT Alternatives Anish Singh Walia Becoming Human: Artificial Intelligence Magazine – Medium

Understanding Tokenization, Stemming, and Lemmatization in NLP Ravjot Singh Becoming Human: Artificial Intelligence Magazine – Medium

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​ Natural Language Processing (NLP) involves various techniques to handle and analyze human language data. In this blog, we will explore three essential techniques: tokenization, stemming, and lemmatization. These techniques are foundational for many NLP applications, such as text preprocessing, sentiment analysis, and machine translation.… Read More »Understanding Tokenization, Stemming, and Lemmatization in NLP Ravjot Singh Becoming Human: Artificial Intelligence Magazine – Medium

Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight Jacky Wu AWS Machine Learning Blog

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​[[{“value”:” Extracting valuable insights from customer feedback presents several significant challenges. Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. Scalability becomes an issue as the amount of feedback grows,… Read More »Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight Jacky Wu AWS Machine Learning Blog

Build safe and responsible generative AI applications with guardrails Harel Gal AWS Machine Learning Blog

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​[[{“value”:” Large language models (LLMs) enable remarkably human-like conversations, allowing builders to create novel applications. LLMs find use in chatbots for customer service, virtual assistants, content generation, and much more. However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation,… Read More »Build safe and responsible generative AI applications with guardrails Harel Gal AWS Machine Learning Blog

Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch Peter Geng AWS Machine Learning Blog

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​[[{“value”:” Amazon Bedrock has enabled customers to build new delightful experiences for their customers using generative artificial intelligence (AI). Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere,… Read More »Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch Peter Geng AWS Machine Learning Blog

5 Effective Ways to Handle Imbalanced Data in Machine Learning Matthew Mayo MachineLearningMastery.com

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​[[{“value”:” Introduction Here’s a something that new machine learning practitioners figure out almost immediately: not all datasets are created equal. It may now seem obvious to you, but had you considered this before undertaking machine learning projects on a real world dataset? As an example… Read More »5 Effective Ways to Handle Imbalanced Data in Machine Learning Matthew Mayo MachineLearningMastery.com