Artificial Intelligence is everywhere.
For some it’s frightening. The beginning of some dystopian landscape where self learning bots overtake us. For others, it’s an exciting tool that gives information, assists in tasks and builds on our knowledge and know how.
An article in the Guardian said ‘ One of the longest labor strikes in Hollywood history came to an end on Tuesday after the Writers Guild of America (WGA) approved an agreement made with the Alliance of Motion Picture and Television Producers. Writers and actors had been picketing for months as part of a historic “double strike” that brought the industry to a standstill.’ The article went on to say:
‘With terms of AI use finally agreed, some writers are breathing easier – for now – and experts say the guidelines could offer a model for workers in Hollywood and other industries. The writers’ contract does not outlaw the use of AI tools in the writing process, but it sets up guardrails to make sure the new technology stays in the control of workers, rather than being used by their bosses to replace them.’
So yes, Hollywood artists had a win. ‘Simon Johnson, an economist at MIT who studies technological transformation, called the new terms a “fantastic win for writers”, and said that it would likely result in “better quality work and a stronger industry for longer”.’
Source: https://www.fool.com/investing/stock-market/market-sectors/information-technology/ai-stocks/ai-in-education/
Source: https://www.fool.com/investing/stock-market/market-sectors/information-technology/ai-stocks/ai-in-education/
BUT HOW WILL AI AFFECT EDUCATION?
I am a teacher so I know first hand both how some students use AI and also how the institution manages AI. Not to be too critical but education institutions are at a loss how to manage students and AI, especially where written assessments are concerned. Do we go back to verbal questioning? Is there a tool that picks AI up (some institutions use Turnitin, but to be honest, I’m not sure how well that works. Teachers are already overburdened with administration tasks. Combing through anti plagiarism software doesn’t help.
Anyway with all that said, here are some AI tools:
The landscape of AI tools is constantly evolving, but as of 2024, some of the top AI tools across various domains include:
1. **OpenAI GPT**: Models like GPT-4 or later versions, offering advanced natural language processing capabilities for tasks like text generation, summarization, and language translation.
2. **TensorFlow**: Continues to be a dominant framework for building and deploying machine learning models, known for its flexibility and scalability.
3. **PyTorch**: Another popular deep learning framework, known for its dynamic computation graph and ease of use, particularly favored by researchers.
4. **Microsoft Azure Cognitive Services**: A suite of AI services provided by Microsoft Azure, including computer vision, speech recognition, language understanding, and more, accessible via APIs.
5. **Google Cloud AI Platform**: Offers a range of AI and machine learning services for building, training, and deploying models on Google Cloud infrastructure.
6. **Amazon SageMaker**: A fully managed service for building, training, and deploying machine learning models at scale, with support for a variety of frameworks.
7. **Hugging Face Transformers**: A library that provides state-of-the-art natural language understanding models and pre-trained models for a wide range of NLP tasks.
8. **Fast.ai**: Known for its simplicity and ease of use, Fast.ai provides high-level APIs built on top of PyTorch for training deep learning models.
9. **IBM Watson Studio**: IBM’s platform for AI and machine learning, offering tools for data preparation, model development, and deployment.
10. **AutoML Tools**: Various AutoML platforms and tools are gaining popularity, such as Google AutoML, H2O.ai, and DataRobot, which automate the process of building machine learning models.
11. **AI-Based Analytics Tools**: Tools like Tableau, Power BI, and DataRobot Insights, which integrate AI and machine learning capabilities for advanced analytics and insights generation.
12. **Robotics Frameworks**: For robotics enthusiasts and professionals, frameworks like ROS (Robot Operating System) and Open Robotics continue to be essential for building and simulating robotic systems.
Remember, the “best” AI tool depends on your specific needs, expertise, and the problem you’re trying to solve. Always evaluate tools based on their suitability for your particular use case and your team’s skill set.
Thank you ChatGPT for your assistance with the above AI tools