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Design Patterns in Python for AI and LLM Engineers: A Practical Guide

Unite.AI

Ensuring consistent access to a single inference engine or database connection. Implementation Here’s how to implement a Singleton pattern in Python to manage configurations for an AI model: class ModelConfig: """ A Singleton class for managing global model configurations. """ forms, REST API responses).

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Zhipu AI Releases GLM-4-Voice: A New Open-Source End-to-End Speech Large Language Model

Marktechpost

GLM-4-Voice brings us closer to a more natural and responsive AI interaction, representing a promising step towards the future of multi-modal AI systems. Features like adjustable emotional tones, dialect support, and lower latency position this model to impact personal assistants, customer service, entertainment, and education.

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MIBench: A Comprehensive AI Benchmark for Model Inversion Attack and Defense

Marktechpost

Additionally, setting up access controls and limiting how often each user can access the data is important for building responsible AI systems, and reducing potential conflicts with people’s private data. To address this, data users need to apply strong and reliable defense strategies and methods. Check out the Paper.

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Controllable Safety Alignment (CoSA): An AI Framework Designed to Adapt Models to Diverse Safety Requirements without Re-Training

Marktechpost

A team of researchers from Microsoft Responsible AI Research and Johns Hopkins University proposed Controllable Safety Alignment (CoSA) , a framework for efficient inference-time adaptation to diverse safety requirements. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

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ODSC’s AI Weekly Recap: Week of March 8th

ODSC - Open Data Science

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI.

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Google DeepMind Open-Sources SynthID for AI Content Watermarking

Marktechpost

Differentiating human-authored content from AI-generated content, especially as AI becomes more natural, is a critical challenge that demands effective solutions to ensure transparency. Conclusion Google’s decision to open-source SynthID for AI text watermarking represents a significant step towards responsible AI development.

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Build a personalized avatar with generative AI using Amazon SageMaker

AWS Machine Learning Blog

amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117" cu117" ) print(f"Image going to be used is - > {inference_image_uri}") In addition to that, we need to have a serving.properties file that configures the serving properties, including the inference engine to use, the location of the model artifact, and dynamic batching.