Pooja Choudhary

AI – A Bird's Overview The term “artificial intelligence” (AI) is used to describe a wide range of computer programs that attempt to simulate human intelligence to solve complicated problems and improve over time.

Large Language Models (LLM) and Generative AI are two models that have become very popular in the ever-changing world of artificial intelligence (AI). Although

Even better, Pathways AI's MakerSuite includes PaLM as one component. Prompt engineering, synthetic data generation, and custom-model tuning are just a few of the upcoming features that this user-friendly tool will o****, making it ideal for rapid ideation prototyping.

In this post, we'll take a trip down the rabbit hole and talk about how AI fits into the Web3 environment.

The Internet of Things (IoT) is a popular term this decade that refers to the rapidly expanding systems of interconnected, networked, and communicative physical objects. AI and IoT enable firms to assess, predict, and automate all types of hazards for quick response. This helps them manage financial loss, personnel safety, and cyber dangers.

Heard about a robot mimicking a person? Heard about conversational AI creating bots that can understand and respond to human language?

Setting up an AI chatbot and designing complex discussion flows used to require a lot of time and manpower, but nowadays it's much simpler. A smart virtual assistant for customer service can now be set up in a matter of minutes, thanks to developments in generative AI and large language models (LLMs). Our generative AI-powered tool, UltimateGPT, operates as follows:

New opportunities for machine advancement arise as AI continues to improve. Both Deep Learning and Machine Learning fall under the umbrella term “Artificial Intelligence,” yet they are distinct fields in and of themselves. Machine Learning and Deep Learning are both specialized algorithms that can complete a range of different jobs, each with its own set of benefits. While deep learning doesn't require much assistance thanks to its basic emulation of human brain workflow and understanding of the context, machine learning algorithms still require some human assistance to analyze and learn from the provided data and arrive at a final decision.

Data is the foundation of the most prominent AI applications. To be precise and effective, AI models must be trained on a wide range of datasets.

Hi Ashok , welcome to our AiThority Interview Series. Being a seasoned technology expert, please tell us about your journey so far.