Anshuman Jain

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., whereas DL uses deep neural networks with multiple layers. Machine learning works well with small to medium datasets, but deep learning requires massive amounts of data.

We have curated a list of top AI humanizer tools which can turn any AI-generated text into more natural, human-like text. I tested nearly all of them and found seven tools that reliably bypass AI detectors.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the introduction of neural networks in 1950, breakthroughs like backpropagation in 1986, powerful GPU computing in 2000s, and introduction of the Transformer architecture in 2017. There are various deep learning models such as CNNs which are used for image recognition, GANs for synthetic data generation, transformers for language models, and more.

Agentic AI refers to AI systems that can carry out tasks for you. It can set goals, plan actions, and execute tasks autonomously. Unlike AI chatbots that generate text, images or videos, Agentic AI can decide what to do next, take action, and adapt itself based on outcomes. Agentic AI is the next evolution of Generative AI, which brings agency to AI models.