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Top Generative Artificial Intelligence AI Courses in 2024

Marktechpost

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

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Top Generative Artificial Intelligence AI Courses in 2024

Marktechpost

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

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Brave New World: Leo AI and Ollama Bring RTX-Accelerated Local LLMs to Brave Browser Users

NVIDIA

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users. It supports an ecosystem of applications that deliver local AI capabilities.

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Archana Joshi, Head – Strategy (BFS and EnterpriseAI), LTIMindtree – Interview Series

Unite.AI

This shift is also leading to new types of work in IT services, such as developing custom models, data engineering for AI needs and implementing responsible AI. The evolution of AI is promising but also brings many corporate challenges, especially around ethical considerations in how we implement it.

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5 Best Large Language Models (LLMs) (September 2024)

Unite.AI

Advanced Code Generation and Analysis: The models excel at coding tasks, making them valuable tools for software development and data science. and position Grok-2 as a strong competitor to other leading AI models. MMLU (Massive Multitask Language Understanding): 87.5% MMLU-Pro: 75.5% MathVista: 69.0% DocVQA: 93.6%

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O’Reilly “Generative AI in the Enterprise” 2023 Report

Unite.AI

Image: O'Reilly Emerging Trends in AI Use The O'Reilly report sheds light on how enterprises are currently leveraging generative AI, revealing key trends in its application. A substantial majority, 77%, are using AI for programming tasks, indicating a significant shift towards automation in software development.

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Meet IBM’s Watsonx Code Assistant: Revolutionizing Enterprise Coding with AI-Powered Assistance

Marktechpost

In today’s fast-paced world of software development, one of the key challenges enterprises face is the need to code quickly and accurately. Developers often grapple with complex coding tasks, and finding practical solutions can be a time-consuming process. for AI model development, watsonx.