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AI courses to boost your skills and stay ahead

AI News

Artificial Intelligence: Preparing Your Career for AI Artificial Intelligence: Preparing Your Career for AI is an option for those wanting to future-proof their careers in an AI-centric workplace. The course outlines five essential steps for preparing for AI’s impact on job roles and skill requirements.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting. This allows users to accomplish different Natural Language Processing (NLP) functional tasks and take advantage of IBM vetted pre-trained open-source foundation models.

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The 17 Most Popular AI Software Products for 2024

Viso.ai

This article provides an overview of AI software products worth checking out in 2024. This includes various products related to different aspects of AI, including but not limited to tools and platforms for deep learning, computer vision, natural language processing, machine learning, cloud computing, and edge AI.

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Mixtral 8x22B is now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

You can now discover and deploy Mixtral-8x22B with a few clicks in Amazon SageMaker Studio or programmatically through the SageMaker Python SDK, enabling you to derive model performance and MLOps controls with SageMaker features such as Amazon SageMaker Pipelines , Amazon SageMaker Debugger , or container logs.

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AI Strategist: Driving Business Transformation Through Artificial Intelligence

Pickl AI

Deep Knowledge of AI and Machine Learning : A solid understanding of AI principles, Machine Learning algorithms, and their applications is fundamental. This includes familiarity with programming languages such as Python, R, and relevant frameworks like TensorFlow and PyTorch.

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Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart

AWS Machine Learning Blog

LangChain is a Python library designed to build applications with LLMs. It provides a modular and flexible framework for combining LLMs with other components, such as knowledge bases, retrieval systems, and other AI tools, to create powerful and customizable applications. Python 3.10 medium as the instance type.

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Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker

AWS Machine Learning Blog

The tokenizer meta-llama/Llama-2-70b-hf is a specialized tokenizer that breaks down text into smaller units for natural language processing. This image is also compatible with Python 3.10, indicated by the py310, and is based on Ubuntu 20.04. The entry_point is specified as the Python script run_llama_nxd.py.

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